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CN107800158B - An Optimal Scheduling Method for Electric-Heat Coupled Multi-energy Flow System Considering Economy and Energy Efficiency - Google Patents

An Optimal Scheduling Method for Electric-Heat Coupled Multi-energy Flow System Considering Economy and Energy Efficiency Download PDF

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CN107800158B
CN107800158B CN201710963653.3A CN201710963653A CN107800158B CN 107800158 B CN107800158 B CN 107800158B CN 201710963653 A CN201710963653 A CN 201710963653A CN 107800158 B CN107800158 B CN 107800158B
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孙宏斌
郭庆来
王彬
薛屹洵
张伯明
吴文传
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract

本发明提出一种兼顾经济与能效的电‑热耦合多能流系统优化调度方法,属于含多种能源形式的电网运行和控制技术领域。本方法首先设定电‑热耦合多能流系统中电网与热网稳态安全运行的等式和不等式约束条件;分别建立电‑热耦合多能流系统优化调度的经济性目标函数和能效目标函数;分别求得以经济性为目标的调度方案,和以能效为目标的调度方案;将两种方案分别代入相应的目标函数进行交互计算,利用计算结果建立兼顾经济与能效的电‑热耦合多能流系统优化调度模型;对模型求解,最终获得电‑热耦合多能流系统的优化调度方案。本发明考虑电‑热系统的紧密耦合与相互影响,实现了兼顾经济与能效的电‑热耦合多能流系统的优化调度。The invention proposes an optimization scheduling method for an electric-thermal coupling multi-energy flow system that takes into account both economy and energy efficiency, and belongs to the technical field of power grid operation and control with multiple energy forms. This method first sets the equation and inequality constraints for the steady-state safe operation of the electric-thermal coupled multi-energy flow system; establishes the economic objective function and energy efficiency target for the optimal dispatch of the electric-thermal coupled multi-energy flow system Function; find out the dispatching scheme with economy as the goal and the dispatching scheme with energy efficiency as the goal respectively; substitute the two schemes into the corresponding objective functions for interactive calculation, and use the calculation results to establish an electric-thermal coupled Optimal scheduling model of the energy flow system; solve the model, and finally obtain the optimal scheduling scheme of the electric-thermal coupling multi-energy flow system. The invention considers the close coupling and mutual influence of the electric-thermal system, and realizes the optimal scheduling of the electric-thermal coupling multi-energy flow system taking into account both economy and energy efficiency.

Description

Electric-thermal coupling multi-energy flow system optimal scheduling method considering economy and energy efficiency
Technical Field
The invention relates to an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, and belongs to the technical field of operation and control of power grids containing multiple energy forms.
Background
The multi-energy flow system is an important carrier of an energy internet, and deeply fuses sources, networks and loads of various types of energy such as cold, heat, electricity, gas and the like in the process of design, operation and management, and performs multi-energy cooperative optimization in a series of links such as production, transmission, conversion, storage and consumption. Compare the energy system that tradition was split each other, through the multipotency in coordination, the benefit that multipotency stream system brought includes: 1) through the cascade development and utilization and intelligent management of the multi-type energy, the energy consumption and waste can be reduced, the comprehensive energy utilization efficiency is improved, and the total energy utilization cost is reduced; 2) the characteristic difference, complementation and conversion of different energy sources are utilized, so that the capacity of consuming intermittent renewable energy sources is improved; 3) through the supply, complementation and coordination control of multiple energy sources, the reliability of energy supply is improved, and more adjustable and controllable resources are provided for the operation of a power grid; 4) through collaborative planning and construction of the multi-energy flow system, repeated construction and waste of infrastructure can be reduced, and the asset utilization rate is improved.
The multi-energy flow system has considerable benefits on one hand, and on the other hand, the originally complex energy system is more complex. The multi-energy flow system is composed of a plurality of energy flow subsystems, the interaction and influence among the energy flow subsystems enable the complexity of the multi-energy flow system to be increased remarkably, a plurality of new characteristics are embodied, the traditional method for analyzing each energy flow independently is difficult to adapt to new requirements, and a new multi-energy flow analysis method needs to be developed urgently. In China, more and more coupling elements such as a cogeneration unit, a heat pump, an electric boiler and the like objectively enhance the interconnection between electricity and heat, promote the development of an electricity-heat coupling multi-energy flow system and also provide new requirements for the operation and control technology of the electricity-heat coupling multi-energy flow system.
The optimal scheduling of the multi-energy system refers to that when structural parameters and load conditions of the system are given, available control variables (such as output power of a generator in a power grid, lift of a pump in a heat grid and the like) are adjusted to find load flow distribution which can meet all operation constraint conditions and enable certain performance indexes (such as total operation cost or network loss) of the system to reach an optimal value. The current research is mainly focused on a single independent system, and mostly only focuses on the economy of the operation of the multi-energy flow system, so that in order to respond to the central requirement for improving the energy utilization efficiency, promoting the energy production and energy consumption, and fully exerting the advantage of the cascade utilization of the energy of the multi-energy flow system, an electric-thermal coupling multi-energy flow system optimal scheduling method considering both economy and energy efficiency needs to be researched.
Disclosure of Invention
The invention aims to make up for the blank of the prior art and provides an optimal scheduling method of an electric-thermal coupling multi-energy flow system, which gives consideration to economy and energy efficiency. According to the invention, the economical and efficient operation of the electro-thermal coupling multi-energy flow system is realized by establishing the optimal scheduling model of the electro-thermal coupling multi-energy flow system which gives consideration to economy and energy efficiency, and the practical value is very high.
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which comprises the following steps:
the invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which is characterized by comprising the following steps of:
1) setting an equality constraint condition of steady-state safe operation of a power grid and a heat supply network in the electric-thermal coupling multi-energy flow system; the method specifically comprises the following steps:
1-1) power grid flow equation constraints in an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein, PiInjecting active power, Q, for node i in the gridiInjecting reactive power, theta, for node i in the gridi、θjThe voltage phase angles of the node i and the node j, UiAnd UjVoltage amplitudes, G, of nodes i and j, respectivelyijIs the real part of the ith row and jth column elements of the grid node admittance matrix Y, BijFor the imaginary part of the ith row and jth column element of the grid node admittance matrix Y;
1-2) pipeline pressure loss constraint of a heat supply network in an electro-thermal coupling multi-energy flow system; the expression is as follows:
ΔHl=Slml|ml| (2)
wherein, Δ HlFor the pressure loss of the first pipe in the heat network, SlIs the resistance characteristic coefficient of the first pipeline, 10Pa/(kg/s)2≤Sl≤500Pa/(kg/s)2,mlThe flow rate of the first pipeline is;
1-3) the hydraulic characteristic constraint of a circulating pump of a heat supply network in the electro-thermal coupling multi-energy flow system; the expression is as follows:
HP=H0-Spm2 (3)
wherein HPFor circulating pump head, H0Is the static lift of the circulating pump SpIs the resistance coefficient of the circulating pump, and m is the flow rate flowing through the circulating pump;
1-4) heat loss constraint of a heat pipe in an electric-thermal coupling multi-energy flow system; the expression is as follows:
wherein, Te,lIs the end temperature, T, of the first pipe in the heat supply networkh,lIs the head end temperature, T, of the first pipelinea,lIs the ambient temperature of the first pipeline, LlLength of the first pipe, CpIs the specific heat capacity of water, and lambda is the heat transfer coefficient of the unit length of the pipeline;
1-5) temperature constraint of a multi-pipeline junction in a heat supply network of an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,to the flow out of the multi-channel junction,for flows into a multi-pipe junction, ToutTemperature of water flowing out of a junction of multiple pipes, TinFor the temperature of the water flowing into the junction of the pipes, QJIs the thermal power of the multi-channel junction;
1-6) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled by an electric-thermal combined supply unit; expression:
wherein P is the active power of the electricity-heat cogeneration unit, q is the thermal power of the electricity-heat cogeneration unit, and PkOperating the abscissa, Q, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkFor the combined heat and power plant, the ordinate of the k-th vertex of the polygon of the feasible region, αkIn order to combine the coefficients of the coefficients,NK is the number of vertexes of an approximate polygon of an operation feasible region of the electricity-heat cogeneration unit;
1-7) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled through a circulating pump; expression:
wherein, PPActive power consumed for the circulation pump, g is acceleration of gravity, ηPFor the efficiency of the circulation pump, mPFor the flow rate through the circulating pump, HPThe lift of the circulating pump;
1-8) coupling constraints between the power grid and the heat supply network in an electro-thermal coupling multi-energy flow system coupled by a heat pump; the expression is as follows:
Php=ChpQhp (8)
wherein Q ishpFor the thermal power, P, generated by a heat pump in an electro-thermally coupled multi-energy flow systemhpElectric power consumed for heat pumps, ChpThe heat generating efficiency of the heat pump;
2) the method for setting the inequality constraint conditions of steady-state safe operation of the power grid and the heat supply network in the electric-thermal coupling multi-energy flow system specifically comprises the following steps:
2-1) node voltage amplitude constraint;
voltage amplitude U of ith node in power grid of electric-thermal coupling multi-energy flow systemiLower and upper limit values of set safe operation voltage of power gridU iIn the middle of the operation, the operation is carried out,U iis 0.95 times the rated voltage of the ith node,1.05 times of rated voltage of the ith node: the expression is as follows:
2-2) line transmission capacity constraints;
transmission of the l-th line in the electrical network of an electro-thermally coupled multi-energy flow systemThe capacity is less than or equal to the maximum value of the set safe operation transmission capacity of the power gridThe expression is as follows:
2-3) climbing constraint of an electricity-heat combined supply unit or active power in a power grid of the electricity-heat combined multi-energy flow system; the expression is as follows:
wherein,andrespectively the upward climbing speed and the downward climbing speed of the active power of the b-th station electric-heat combined supply unit, wherein delta t is the time interval of two adjacent scheduling periods, pb,tAnd pb,t-1Respectively setting the active power of the b-th electric-thermal cogeneration unit in the t-th scheduling period and the active power of the t-1-th scheduling period;
2-4) climbing constraint of active power of a non-gas turbine set in a power grid of the electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,andthe upward climbing speed and the downward climbing speed, p, of the active power of the x-th thermal power generating unitx,tAnd px,t-1Respectively setting the active power of the x-th thermal power generating unit in the t-th scheduling period and the active power of the t-1 st scheduling period;
2-5) restraining the safe operation of the electricity-heat cogeneration unit;
active power p of the b-th electric-thermal combined supply unit in the power grid of the electric-thermal coupling multi-energy flow systembThe upper limit value and the lower limit value of the active power of the b-th station electric-heat cogeneration unit are safely operated in the set power grid p bTo (c) to (d); the expression is as follows:
2-6) safety operation constraint of the thermal power generating unit;
active power p of x-th thermal power generating unit in power grid of electric-thermal coupling multi-energy flow systemxUpper and lower limit values of active power of x-th thermal power generating unit in set power grid safe operation p xTo (c) to (d); the expression is as follows:
2-7) heat supply network pipeline flow restriction;
flow of the first pipeline in the heat supply network of an electro-thermally coupled multi-energy flow systemQuantity mlIs less than or equal to the upper limit value of the safe operation flow of the heat supply networkThe expression is as follows:
2-8) restricting the return water temperature of the heat exchange station;
the return water temperature T of the heat exchange station in the heat supply network of the electric-thermal coupling multi-energy flow system is at the upper limit value and the lower limit value of the set safe operation return water temperature of the heat supply network TTo (c) to (d); the expression is as follows:
3) establishing an economic objective function of optimal scheduling of the electro-thermal coupling multi-energy flow system by taking the lowest cost as a target; the expression is as follows:
wherein p isbThe active power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system, qbThe thermal power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system is provided, N is the total number of the electric-thermal combined supply units in the electric-thermal coupling multi-energy flow system, and F (p)b,qb) The running cost p of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow systemxIs the active power of the x-th thermal power generating unit in an electric-thermal coupling multi-energy flow system, NTUFor electro-thermal coupling of multiple energy flowsTotal number of thermoelectric units in the system, FTU(px) The operation cost of the x-th thermal power generating unit in the electro-thermal coupling multi-energy flow system is calculated;the total operating cost of the multi-energy flow system;
4) establishing an energy efficiency objective function for optimal scheduling of the electric-thermal coupling multi-energy flow system by taking the highest energy efficiency as a target, wherein the expression is as follows:
wherein, PL(t)、CL(t)、QL(t) the electric load power, the cold load power and the heat load power of the multi-energy-flow system at the time t, subscript re, coal and gass respectively represent that the energy sources are renewable energy, coal and natural gas, ξ is an energy non-renewable coefficient, the value is 0 for the renewable energy, the non-renewable energy is 1, v (t) is the permeability of different primary energy sources in electricity purchase outside the time t, ef is the generating efficiency of a corresponding unit, P is the power generation efficiency of the corresponding unit, andbuy(t) purchasing electric energy power of a power grid for the multi-energy-flow system at the time t; pre(t) the renewable energy power which is accessed by the multi-energy-flow system at the time t without a power grid is in kW unit; f (t) is the lower heating value of the corresponding fuel consumed,energy efficiency for a multi-energy flow system;
5) an internal point method is adopted, an economic objective function of a formula (17) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme taking economy as a target is obtained;
an internal point method is adopted, an energy efficiency objective function of a formula (18) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme with energy efficiency as a target is obtained;
6) substituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at the economy into an energy efficiency objective function of an equation (18), and recording the result as the resultSubstituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at energy efficiency into an economic objective function of an equation (17), and recording the result as
7) Establishing an electric-thermal coupling multi-energy flow system optimization scheduling objective function which gives consideration to economy and energy efficiency; the expression is as follows:
8) establishing an electric-thermal coupling multi-energy flow system optimization scheduling model considering economy and energy efficiency by taking the formula (19) as an objective function and taking the formulas (1) to (16) as constraint conditions; and solving the model by adopting an interior point method to obtain the active power and the thermal power of each electro-thermal coupling unit in the electro-thermal coupling multi-energy flow system, and using the active power and the thermal power as an optimal scheduling scheme of the electro-thermal coupling multi-energy flow system.
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which has the characteristics and effects that:
the method considers the close coupling and the mutual influence of the electric-thermal system, and realizes the optimal scheduling of the electric-thermal coupling multi-energy flow system which gives consideration to economy and energy efficiency. Compared with the independent optimization scheduling analysis considering the economy of the electric and thermal systems, the method not only realizes the cooperative optimization of the electric and thermal systems, but also considers the operation economy and the high efficiency of the electric-thermal coupling multi-energy flow system. The method can be applied to the scheduling plan formulation of the electro-thermal coupling multi-energy flow system, is beneficial to reducing the operation cost and simultaneously improves the energy utilization efficiency of the electro-thermal coupling multi-energy flow system.
Detailed Description
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which is further described in detail below by combining specific embodiments.
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which comprises the following steps:
1) setting an equality constraint condition of steady-state safe operation of a power grid and a heat supply network in the electric-thermal coupling multi-energy flow system; the method specifically comprises the following steps:
1-1) power grid flow equation constraints in an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein, PiInjecting active power, Q, for node i in the gridiInjecting reactive power, theta, for node i in the gridi、θjThe voltage phase angles of the node i and the node j, UiAnd UjVoltage amplitudes, G, of nodes i and j, respectivelyijIs the real part of the ith row and jth column elements of the grid node admittance matrix Y, BijObtaining imaginary parts of ith row and jth column elements of a power grid node admittance matrix Y from an energy management system of the electro-thermal coupling multi-energy flow system;
1-2) pipeline pressure loss constraint of a heat supply network in an electro-thermal coupling multi-energy flow system; the expression is as follows:
ΔHl=Slml|ml| (2)
wherein, Δ HlFor the pressure loss of the first pipe in the heat network, SlIs the coefficient of the resistance characteristic of the first pipe, SlThe value range is 10Pa/(kg/s)2≤Sl≤500Pa/(kg/s)2,mlThe flow rate of the first pipeline is;
1-3) the hydraulic characteristic constraint of a circulating pump of a heat supply network in the electro-thermal coupling multi-energy flow system; the expression is as follows:
HP=H0-Spm2 (3)
wherein HPFor circulating pump head, H0Is the static lift of the circulating pump SpIs the coefficient of resistance of the circulating pump, H0And SpThe flow rate is obtained by a delivery specification of the circulating pump, and m is the flow rate flowing through the circulating pump;
1-4) heat loss constraint of a heat pipe in an electric-thermal coupling multi-energy flow system; the expression is as follows:
wherein, Te,lIs the end temperature, T, of the first pipe in the heat supply networkh,lIs the head end temperature, T, of the first pipelinea,lM is the ambient temperature of the first pipelIs the flow rate of the first pipeline, LlLength of the first pipe, CpThe specific heat capacity of water is 4182 joules/(kilogram-degree centigrade), lambda is the heat transfer coefficient of the unit length of the pipeline, and lambda is obtained from an energy management system of the electro-thermal coupling multi-energy flow system;
1-5) temperature constraint of a multi-pipeline junction in a heat supply network of an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,to the flow out of the multi-channel junction,for flow into a multi-pipe junction, ToutTemperature of water flowing out of a junction of multiple pipes, TinFor the temperature of the water flowing into the junction of the pipes, QJIs the thermal power of the multi-channel junction;
1-6) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled by an electric-thermal combined supply unit; expression:
wherein P is the active power of the electricity-heat cogeneration unit, q is the thermal power of the electricity-heat cogeneration unit, and PkOperating the abscissa, Q, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkFor the combined heat and power plant, the ordinate of the k-th vertex of the polygon of the feasible region, αkIn order to combine the coefficients of the coefficients,NK is the number of vertexes of an approximate polygon of the operation feasible region of the electric-thermal cogeneration unit, and the approximate polygon of the operation feasible region of the electric-thermal cogeneration unit is obtained from a delivery specification of the electric-thermal cogeneration unit;
1-7) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled through a circulating pump; expression:
wherein, PPActive power consumed for the circulation pump, g is acceleration of gravity, ηPFor circulation pump efficiency, ηPHas a value range of 0 to 1, mPFor the flow rate through the circulating pump, HPThe lift of the circulating pump;
1-8) coupling constraints between the power grid and the heat supply network in an electro-thermal coupling multi-energy flow system coupled by a heat pump; the expression is as follows:
Php=ChpQhp (8)
wherein Q ishpFor the thermal power, P, generated by a heat pump in an electro-thermally coupled multi-energy flow systemhpElectric power consumed for heat pumps, ChpFor heat-generating efficiency of heat pumps, ChpObtained from the factory specifications of the heat pump;
2) the method for setting the inequality constraint conditions of steady-state safe operation of the power grid and the heat supply network in the electric-thermal coupling multi-energy flow system specifically comprises the following steps:
2-1) node voltage amplitude constraint;
voltage amplitude U of ith node in power grid of electric-thermal coupling multi-energy flow systemiLower and upper limit values of set safe operation voltage of power gridU iIn the middle of the operation, the operation is carried out,U iis 0.95 times the rated voltage of the ith node,1.05 times of rated voltage of the ith node: the expression is as follows:
2-2) line transmission capacity constraints;
the transmission capacity of the first line in the power grid of the electric-thermal coupling multi-energy flow system is less than or equal to the maximum value of the set safe operation transmission capacity of the power gridThe expression is as follows:
2-3) climbing constraint of an electricity-heat combined supply unit or active power in a power grid of the electricity-heat combined multi-energy flow system; the expression is as follows:
wherein,andrespectively the upward climbing speed and the downward climbing speed of the active power of the b-th electric-thermal cogeneration unit,andobtained from the factory specifications of the electric-thermal combined supply unit, delta t is the time interval of two adjacent scheduling time periods, pb,tAnd pb,t-1Respectively of the b-th electric-thermal cogeneration unit in the t-th scheduling periodActive power and active power of the t-1 th scheduling period;
2-4) climbing constraint of active power of a non-gas turbine set in a power grid of the electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,andthe upward climbing speed and the downward climbing speed of the active power of the x-th thermal power generating unit are respectively,andobtained from the factory specifications of the thermal power generating unit, delta t is the time interval of two adjacent scheduling time periods, px,tAnd px,t-1Respectively setting the active power of the x-th thermal power generating unit in the t-th scheduling period and the active power of the t-1 st scheduling period;
2-5) restraining the safe operation of the electricity-heat cogeneration unit;
active power p of the b-th electric-thermal combined supply unit in the power grid of the electric-thermal coupling multi-energy flow systembThe upper limit value and the lower limit value of the active power of the b-th station electric-heat cogeneration unit are safely operated in the set power grid p bTo (c) to (d); the expression is as follows:
2-6) safety operation constraint of the thermal power generating unit;
active power p of x-th thermal power generating unit in power grid of electric-thermal coupling multi-energy flow systemxUpper and lower limit values of active power of x-th thermal power generating unit in set power grid safe operation p xTo (c) to (d); the expression is as follows:
2-7) heat supply network pipeline flow restriction;
flow m of the first pipeline in the heat supply network of the electric-thermal coupling multi-energy flow systemlIs less than or equal to the upper limit value of the safe operation flow of the heat supply networkThe expression is as follows:
2-8) restricting the return water temperature of the heat exchange station;
the return water temperature T of the heat exchange station in the heat supply network of the electric-thermal coupling multi-energy flow system is at the upper limit value and the lower limit value of the set safe operation return water temperature of the heat supply network TTo (c) to (d); the expression is as follows:
3) establishing an economic objective function of optimal scheduling of the electro-thermal coupling multi-energy flow system by taking the lowest cost as a target; the expression is as follows:
wherein p isbThe active power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system, qbThe thermal power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system is provided, N is the total number of the electric-thermal combined supply units in the electric-thermal coupling multi-energy flow system, and F (p)b,qb) The running cost p of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow systemxIs the active power of the x-th thermal power generating unit in an electric-thermal coupling multi-energy flow system, NTUThe total number of the thermoelectric generator sets in the electric-thermal coupling multi-energy flow system, FTU(px) The operation cost of the x-th thermal power generating unit in the electro-thermal coupling multi-energy flow system is calculated;the total operation cost of the multi-energy flow system.
4) Establishing an energy efficiency objective function for optimal scheduling of the electric-thermal coupling multi-energy flow system by taking the highest energy efficiency as a target, wherein the expression is as follows:
wherein, PL(t)、CL(t)、QL(t) the electric load power, the cold load power and the heat load power of the multi-energy flow system at the time t, subscript re, coal and gass respectively represent that the energy sources are renewable energy sources, coal and natural gas, the same applies below, ξ is the energy non-renewable coefficient, and for the renewable energy sourcesThe source value is 0 and the non-renewable energy source is 1; v (t) is the permeability (the value is between 0 and 1) of different primary energy sources in the electricity purchase outside the time t; ef is the generating efficiency of the corresponding unit; pbuy(t) purchasing electric energy power of a power grid for the multi-energy-flow system at the time t; pre(t) the renewable energy power which is accessed by the multi-energy-flow system at the time t without a power grid is in kW unit; f (t) is the lower heating value of the corresponding fuel consumed;energy efficiency for a multi-energy flow system.
5) An internal point method is adopted, an economic objective function of a formula (17) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme taking economy as a target is obtained;
an internal point method is adopted, an energy efficiency objective function of a formula (18) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme with energy efficiency as a target is obtained;
6) substituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at the economy into an energy efficiency objective function of an equation (18), and recording the result as the resultSubstituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at energy efficiency into an economic objective function of an equation (17), and recording the result as
7) Based on a cooperative game, establishing an electric-thermal coupling multi-energy flow system optimized dispatching objective function which gives consideration to economy and energy efficiency; the expression is as follows:
8) establishing an electric-thermal coupling multi-energy flow system optimization scheduling model considering economy and energy efficiency by taking the formula (19) as an objective function and taking the formulas (1) to (16) as constraint conditions; and solving the model by adopting an interior point method to obtain the active power and the thermal power of each electro-thermal coupling unit in the electro-thermal coupling multi-energy flow system, and using the active power and the thermal power as an optimal scheduling scheme of the electro-thermal coupling multi-energy flow system.

Claims (1)

1.一种兼顾经济与能效的电-热耦合多能流系统优化调度方法,其特征在于,该方法包括以下步骤:1. An electric-thermal coupling multi-energy flow system optimization dispatching method that takes into account both economy and energy efficiency, is characterized in that, the method comprises the following steps: 1)设定电-热耦合多能流系统中电网与热网稳态安全运行的等式约束条件;具体包括:1) Set the equation constraints for the steady-state safe operation of the power grid and the heating network in the electric-thermal coupled multi-energy flow system; specifically include: 1-1)电-热耦合多能流系统中的电网潮流方程约束;表达式如下:1-1) Grid power flow equation constraints in the electric-thermal coupled multi-energy flow system; the expression is as follows: 其中,Pi为电网中节点i的注入有功功率,Qi为电网中节点i的注入无功功率,θi、θj分别为节点i、节点j的电压相角,Ui和Uj分别为节点i和节点j的电压幅值,Gij为电网节点导纳矩阵Y第i行、第j列元素的实部,Bij为电网节点导纳矩阵Y第i行、第j列元素的虚部;Among them, P i is the injected active power of node i in the power grid, Q i is the injected reactive power of node i in the power grid, θ i and θ j are the voltage phase angles of node i and node j respectively, U i and U j are respectively is the voltage amplitude of node i and node j, G ij is the real part of the elements in row i and column j of grid node admittance matrix Y, and B ij is the element of grid node admittance matrix Y in row i and column j imaginary part; 1-2)电-热耦合多能流系统中热网的管道压力损失约束;表达式如下:1-2) Constraints on the pipeline pressure loss of the heating network in the electric-thermal coupled multi-energy flow system; the expression is as follows: ΔHl=Slml|ml| (2)ΔH l =S l m l |m l | (2) 其中,ΔHl为热网中第l条管道的压力损失,Sl为第l条管道的阻力特性系数,10Pa/(kg/s)2≤Sl≤500Pa/(kg/s)2,ml为第l条管道的流量;Among them, ΔH l is the pressure loss of the first pipeline in the heating network, S l is the resistance characteristic coefficient of the first pipeline, 10Pa/(kg/s) 2 ≤S l ≤500Pa/(kg/s) 2 , m l is the flow rate of the lth pipeline; 1-3)电-热耦合多能流系统中热网的循环泵水力特性约束;表达式如下:1-3) Constraints on the hydraulic characteristics of the circulating pump of the heating network in the electric-thermal coupled multi-energy flow system; the expression is as follows: HP=H0-Spm2 (3)H P =H 0 -S p m 2 (3) 其中,HP为循环泵扬程,H0为循环泵静扬程,Sp为循环泵阻力系数,m为流过循环泵的流量;Among them, H P is the head of the circulating pump, H0 is the static head of the circulating pump, S p is the resistance coefficient of the circulating pump, and m is the flow rate of the circulating pump; 1-4)电-热耦合多能流系统中热网管道热量损失约束;表达式如下:1-4) Constraints on the heat loss of heating network pipes in the electric-thermal coupled multi-energy flow system; the expression is as follows: 其中,Te,l为热网中第l条管道的末端温度,Th,l为第l条管道的首端温度,Ta,l为第l条管道所在的环境温度,Ll为第l条管道的长度,Cp为水的比热容,λ为管道单位长度的传热系数;Among them, T e,l is the end temperature of the first pipeline in the heating network, T h,l is the head end temperature of the first pipeline, T a,l is the ambient temperature where the first pipeline is located, and L l is the temperature of the first pipeline. The length of l pipes, C p is the specific heat capacity of water, and λ is the heat transfer coefficient per unit length of the pipe; 1-5)电-热耦合多能流系统的热网中多管道汇合点的温度约束;表达式如下:1-5) The temperature constraint of the confluence point of multiple pipes in the heat network of the electric-thermal coupled multi-energy flow system; the expression is as follows: 其中,为流出多管道汇合点的流量,为流入多管道汇合点的流量,Tout为流出多管道汇合点的水的温度,Tin为流入多管道汇合点的水的温度,QJ是多管道汇合点的热功率;in, is the flow out of the multi-pipe junction, is the flow rate flowing into the multi-pipe confluence, T ut is the temperature of the water flowing out of the multi-pipe confluence, T in is the temperature of the water flowing into the multi-pipe confluence, Q J is the thermal power of the multi-pipe confluence; 1-6)通过电-热联供机组耦合的电-热耦合多能流系统中电网与热网之间的耦合约束;表达式:1-6) Coupling constraints between the power grid and the heating network in the electricity-heat coupling multi-energy flow system coupled by the electricity-heat cogeneration unit; the expression: 其中,p为电-热联供机组的有功功率,q为电-热联供机组的热功率,Pk为电-热联供机组运行可行域近似多边形的第k个顶点的横坐标,Qk为电-热联供机组运行可行域近似多边形的第k个顶点的纵坐标,αk为组合系数,0≤αk≤1,NK为电-热联供机组的运行可行域近似多边形的顶点个数;Among them, p is the active power of the electricity-heat cogeneration unit, q is the thermal power of the electricity-heat cogeneration unit, P k is the abscissa of the kth vertex of the approximate polygon in the feasible region of the electricity-heat cogeneration unit, Q k is the vertical coordinate of the kth vertex of the approximate polygon in the feasible region of the electric-heat cogeneration unit, α k is the combination coefficient, 0 ≤ α k ≤ 1, NK is the number of vertices of the approximate polygon in the feasible region of the power-heat cogeneration unit; 1-7)通过循环泵耦合的电-热耦合多能流系统中电网与热网之间的耦合约束;表达式:1-7) Coupling constraints between the power grid and the heating network in the electric-thermal coupled multi-energy flow system coupled by circulating pumps; the expression: 其中,PP为循环泵消耗的有功功率,g为重力加速度,ηP为循环泵效率,mP为流过循环泵的流量,HP为循环泵的扬程;Wherein, P P is the active power consumed by the circulation pump, g is the acceleration of gravity, η P is the efficiency of the circulation pump, m P is the flow rate flowing through the circulation pump, and H P is the lift of the circulation pump; 1-8)通过热泵耦合的电-热耦合多能流系统中电网与热网之间的耦合约束;表达式如下:1-8) Coupling constraints between the power grid and the heating network in the electric-thermal coupled multi-energy flow system coupled by the heat pump; the expression is as follows: Php=ChpQhp (8)P hp = C hp Q hp (8) 其中,Qhp为电-热耦合多能流系统中热泵发出的热功率,Php为热泵消耗的电功率,Chp为热泵的产热效率;Among them, Q hp is the thermal power emitted by the heat pump in the electric-thermal coupling multi-energy flow system, P hp is the electric power consumed by the heat pump, and C hp is the heat production efficiency of the heat pump; 2)设定电-热耦合多能流系统中电网与热网稳态安全运行的不等式约束条件,具体包括:2) Set the inequality constraints for the steady-state safe operation of the power grid and the heating network in the electric-thermal coupled multi-energy flow system, including: 2-1)节点电压幅值约束;2-1) node voltage amplitude constraint; 电-热耦合多能流系统的电网中第i个节点的电压幅值Ui在设定的电网安全运行电压的下、上限值U i之间运行,U i为第i个节点额定电压的0.95倍,为第i个节点额定电压的1.05倍:表达式如下:The voltage amplitude U i of the i-th node in the power grid of the electric-thermal coupling multi-energy flow system is the lower, upper limit value U i , Running between, U i is 0.95 times the rated voltage of the i-th node, 1.05 times the rated voltage of the i-th node: the expression is as follows: 2-2)线路传输容量约束;2-2) Line transmission capacity constraints; 电-热耦合多能流系统的电网中第l条线路的传输容量小于或等于设定的电网安全运行传输容量的最大值表达式如下:The transmission capacity of the first line in the power grid of the electric-thermal coupling multi-energy flow system is less than or equal to the maximum value of the set safe operation transmission capacity of the power grid The expression is as follows: 2-3)电-热耦合多能流系统的电网中电-热联供机组或有功功率的爬坡约束;表达式如下:2-3) The climbing constraints of electricity-heat cogeneration units or active power in the power grid of electricity-heat coupling multi-energy flow system; the expression is as follows: 其中,分别为第b台电-热联供机组有功功率的向上爬坡速率和向下爬坡速率,Δt为相邻两个调度时段的时间间隔,pb,t和pb,t-1分别为第b台电-热联供机组在第t个调度时段的有功功率和第t-1个调度时段的有功功率;in, and are the ramp-up rate and ramp-down rate of the active power of unit b, respectively, Δt is the time interval between two adjacent scheduling periods, and p b,t and p b,t-1 are respectively b The active power of the Taipower-Cogeneration unit in the tth scheduling period and the active power in the t-1th scheduling period; 2-4)电-热耦合多能流系统的电网中非燃气机组有功功率的爬坡约束;表达式如下:2-4) The climbing constraint of the active power of non-gas units in the power grid of the electric-thermal coupling multi-energy flow system; the expression is as follows: 其中,分别为第x台火电机组有功功率的向上爬坡速率和向下爬坡速率,px,t和px,t-1分别为第x台火电机组在第t个调度时段的有功功率和第t-1个调度时段的有功功率;in, and are the ramp-up rate and ramp-down rate of the active power of the xth thermal power unit, respectively, and p x,t and p x,t-1 are the active power of the xth thermal power unit in the tth scheduling period and the Active power of t-1 scheduling period; 2-5)电-热联供机组安全运行约束;2-5) Constraints on safe operation of cogeneration units; 电-热耦合多能流系统的电网中第b台电-热联供机组的有功功率pb在设定的电网安全运行第b台电-热联供机组有功功率的上、下限值 p b之间;表达式如下:The active power p of the bth electricity-heat cogeneration unit in the power grid of the electricity-thermal coupling multi-energy flow system is the upper and lower limit values of the active power of the bth electricity-heat cogeneration unit in the safe operation of the set grid Between p and b ; the expression is as follows: 2-6)火电机组安全运行约束;2-6) Constraints on safe operation of thermal power units; 电-热耦合多能流系统的电网中第x台火电机组的有功功率px在设定的电网安全运行第x台火电机组有功功率的上、下限值 p x之间;表达式如下:The upper and lower limits of the active power p x of the xth thermal power unit in the power grid of the electric-thermal coupling multi-energy flow system in the safe operation of the xth thermal power unit in the set grid p x between; the expression is as follows: 2-7)热网管道流量约束;2-7) Flow restriction of heating network pipeline; 电-热耦合多能流系统的热网中第l条管道的流量ml小于或等于热网安全运行流量的上限值表达式如下:The flow m l of the lth pipeline in the heating network of the electric-thermal coupling multi-energy flow system is less than or equal to the upper limit of the safe operating flow of the heating network The expression is as follows: 2-8)换热站回水温度约束;2-8) Constraints on the return water temperature of the heat exchange station; 电-热耦合多能流系统的热网中换热站回水温度T在设定的热网安全运行回水温度的上、下限值 T之间;表达式如下:The return water temperature T of the heat exchange station in the heat network of the electric-thermal coupling multi-energy flow system is at the upper and lower limit values of the return water temperature set for the safe operation of the heat network Between T ; the expression is as follows: 3)以成本最低为目标,建立电-热耦合多能流系统优化调度的经济性目标函数;表达式如下:3) Aiming at the lowest cost, establish an economical objective function for optimal scheduling of electric-thermal coupling multi-energy flow system; the expression is as follows: 其中,pb为电-热耦合多能流系统中第b台电-热联供机组的有功功率,qb为电-热耦合多能流系统中第b台电-热联供机组的热功率,N为电-热耦合多能流系统中电-热联供机组的总台数,F(pb,qb)为电-热耦合多能流系统中第b台电-热联供机组的运行成本,px为电-热耦合多能流系统中第x台火电机组的有功功率,NTU为电-热耦合多能流系统中火电机组的总台数,FTU(px)为电-热耦合多能流系统中第x台火电机组的运行成本;为多能流系统总运行成本;Among them, p b is the active power of the bth electricity-heat cogeneration unit in the electricity-thermal coupling multi-energy flow system, q b is the thermal power of the b-th electricity-heat cogeneration unit in the electricity-thermal coupling multi-energy flow system, N is the total number of electricity-heat cogeneration units in the electricity-heat coupling multi-energy flow system, F(p b ,q b ) is the operating cost of the bth electricity-heat cogeneration unit in the electricity-heat coupling multi-energy flow system , p x is the active power of the xth thermal power unit in the electric-thermal coupling multi-energy flow system, N TU is the total number of thermal power units in the electric-thermal coupling multi-energy flow system, F TU (p x ) is the electric-thermal The operating cost of the xth thermal power unit in the coupled multi-energy flow system; is the total operating cost of the multi-energy flow system; 4)以能效最高为目标,建立电-热耦合多能流系统优化调度的能效目标函数,表达式如下:4) With the highest energy efficiency as the goal, establish the energy efficiency objective function for the optimal scheduling of the electric-thermal coupling multi-energy flow system, the expression is as follows: 其中,PL(t)、CL(t)、QL(t)分别为t时刻多能流系统的电、冷、热负荷功率;下标re、coal、gass分别表示能量来源为可再生能源、煤炭、天然气;ξ为能源不可再生系数,对于可再生能源该值为0,不可再生能源为1;ν(t)为t时刻外购电中不同一次能源来源的渗透率;ef为相应机组发电效率;Pbuy(t)为t时刻多能流系统购入电网电能功率;Pre(t)为t时刻多能流系统不经电网所接入的可再生能源功率,单位为kW;F(t)为所消耗相应燃料的低位热值,为多能流系统能效;Among them, PL (t), CL (t), and Q L ( t) are the electricity, cooling, and heat load power of the multi-energy flow system at time t, respectively; the subscripts re, coal, and gas respectively indicate that the energy source is renewable Energy, coal, natural gas; ξ is the non-renewable coefficient of energy, which is 0 for renewable energy and 1 for non-renewable energy; ν(t) is the penetration rate of different primary energy sources in purchased electricity at time t; ef is the corresponding Generating efficiency of the unit; P buy (t) is the electric power purchased by the multi-energy flow system from the grid at time t; P re (t) is the power of renewable energy connected to the multi-energy flow system without the power grid at time t, and the unit is kW; F(t) is the lower calorific value of the corresponding fuel consumed, Energy efficiency of the multi-energy flow system; 5)采用内点法,以式(17)的经济性目标函数作为目标函数,以式(1)至式(16)作为约束条件,求解得到电-热耦合多能流系统中每台电-热联供机组的有功功率和热功率,得到以经济性为目标的电-热耦合多能流系统调度方案;5) Using the interior point method, the economic objective function of formula (17) is used as the objective function, and formulas (1) to (16) are used as constraints to solve the problem of each electric-thermal coupled multi-energy flow system. Based on the active power and thermal power of the cogeneration unit, the scheduling scheme of the electric-thermal coupling multi-energy flow system with the goal of economy is obtained; 采用内点法,以式(18)的能效目标函数作为目标函数,以式(1)至式(16)作为约束条件,求解得到电-热耦合多能流系统中每台电-热联供机组的有功功率和热功率,得到以能效为目标的电-热耦合多能流系统调度方案;Using the interior point method, taking the energy efficiency objective function of formula (18) as the objective function, and formulas (1) to (16) as the constraint conditions, the solution of each electric-thermal cogeneration unit in the electric-thermal coupling multi-energy flow system is obtained The active power and thermal power of the system are obtained, and the scheduling scheme of the electric-thermal coupling multi-energy flow system with the goal of energy efficiency is obtained; 6)将步骤5)得到的以经济性为目标的电-热耦合多能流系统调度方案代入式(18)的能效目标函数中,结果记为将步骤5)得到的以能效为目标的电-热耦合多能流系统调度方案代入式(17)的经济性目标函数中,结果记为 6) Substituting the dispatching scheme of the electric-thermal coupled multi-energy flow system obtained in step 5) into the energy efficiency objective function of formula (18), the result is denoted as Substituting the energy-efficiency-targeted electric-thermal coupling multi-energy flow system dispatching scheme obtained in step 5) into the economical objective function of formula (17), the result is denoted as 7)建立兼顾经济与能效的电-热耦合多能流系统优化调度目标函数;表达式如下:7) Establish an optimal dispatching objective function for the electric-thermal coupling multi-energy flow system that takes into account both economy and energy efficiency; the expression is as follows: 8)以式(19)作为目标函数,以式(1)至式(16)作为约束条件,建立兼顾经济与能效的电-热耦合多能流系统优化调度模型;采用内点法,对该模型求解,得到电-热耦合多能流系统中每台电-热联供机组的有功功率和热功率,作为电-热耦合多能流系统的优化调度方案。8) Using Equation (19) as the objective function and Equations (1) to (16) as the constraint conditions, establish an optimal scheduling model for the electric-thermal coupling multi-energy flow system that takes into account both economy and energy efficiency; using the interior point method, the The model is solved to obtain the active power and thermal power of each electric-heat cogeneration unit in the electric-thermal coupled multi-energy flow system, which is used as an optimal scheduling scheme for the electric-thermal coupled multi-energy flow system.
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* Cited by examiner, † Cited by third party
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CN108446865B (en) * 2018-04-17 2019-08-16 北京清大高科系统控制有限公司 Thermo-electrically based on interval method couples multipotency streaming system power methods of risk assessment
CN111313400B (en) * 2019-11-11 2022-07-12 国网吉林省电力有限公司 Robust correction-based multi-energy virtual power plant operation parameter aggregation method
CN110970892B (en) * 2019-11-19 2023-10-13 国网辽宁省电力有限公司经济技术研究院 Multi-energy flow regulation and optimization method for provincial energy Internet based on energy balance
CN111049135B (en) * 2019-12-30 2023-02-03 国网吉林省电力有限公司 A distributed two-stage cooperative operation method for a multi-area electrical coupling system
CN111340271B (en) 2020-02-13 2022-04-08 清华大学 An Optimal Scheduling Method for Electric-Heat Multi-Energy Flow System Based on Heating Phasor Model
CN112362096B (en) * 2020-10-26 2022-04-12 南方电网科学研究院有限责任公司 Method and device for monitoring running state of multi-energy flow, terminal equipment and storage medium
CN115495888B (en) * 2021-04-12 2025-06-06 三峡大学 Optimal Scheduling Model for Stochastic Electrothermal Coupling System Considering Asymmetric Heat Losses
CN113283105B (en) * 2021-06-09 2022-03-04 大连海事大学 A Distributed Optimal Scheduling Method for Energy Internet Considering Voltage Security Constraints

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105676646A (en) * 2016-03-11 2016-06-15 国网天津市电力公司 Linearization method for optimized operation of combined cooling heating and power supply system
CN105869075A (en) * 2016-04-19 2016-08-17 东南大学 Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid
CN106056251A (en) * 2016-06-12 2016-10-26 清华大学 Electric-thermal coupled multi-energy-flow system optimization scheduling method
CN107067116A (en) * 2017-04-26 2017-08-18 燕山大学 A kind of multizone electric heating integrated system economic environment combined dispatching method for solving

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8783397B2 (en) * 2005-07-19 2014-07-22 Bsst Llc Energy management system for a hybrid-electric vehicle
US10078315B2 (en) * 2014-07-11 2018-09-18 Nec Corporation Collaborative balancing of renewable energy overproduction with electricity-heat coupling and electric and thermal storage for prosumer communities

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105676646A (en) * 2016-03-11 2016-06-15 国网天津市电力公司 Linearization method for optimized operation of combined cooling heating and power supply system
CN105869075A (en) * 2016-04-19 2016-08-17 东南大学 Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid
CN106056251A (en) * 2016-06-12 2016-10-26 清华大学 Electric-thermal coupled multi-energy-flow system optimization scheduling method
CN107067116A (en) * 2017-04-26 2017-08-18 燕山大学 A kind of multizone electric heating integrated system economic environment combined dispatching method for solving

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