CN111489009A - Optimal calculation method and device for operation mode of electric vehicle charging station - Google Patents

Abstract

The invention relates to the technical field of electric power systems, in particular to an optimization calculation method for the operation mode of an electric vehicle charging station. The invention includes: modeling of a flexible control mode of an electric vehicle charging station; optimization modeling of a power system considering the consumption of the electric vehicle charging station and renewable energy; and optimal calculation of electric vehicle battery charging and discharging power and compensation cost. On the premise of ensuring that the electricity consumption remains unchanged in the dispatching period, the invention realizes the optimal control of the electric vehicle charging station through the transfer of charging and discharging power, and effectively reduces the waste of electricity from renewable energy sources. The present invention comprehensively considers factors such as power consumption constraints of electric vehicle charging stations, power ramping constraints modeling, energy storage state of charge SOC constraints, power system load balance constraints, and tie line injection power constraints, and the calculation results are more in line with the actual power system. The dispatch situation can provide the dispatcher with the most intuitive basis for judgment.

Description

An optimal calculation method and device for the operation mode of an electric vehicle charging station

technical field

The invention relates to the technical field of electric power systems, in particular to an optimization calculation method and device for the operation mode of an electric vehicle charging station.

Background technique

Under the dual crisis of fossil energy and environmental pollution, vigorously developing and utilizing renewable energy is an effective way to solve this problem. Affected by the characteristics of wind power and solar energy resources, the power generation output of renewable energy has the characteristics of intermittent and fluctuating. The present invention mainly refers to the dispatching operation of traditional power distribution network when large-scale renewable energy power generation is connected to the grid. make a large impact. With the improvement of battery energy storage technology and the popularization of electric vehicles, the load side can also reflect the flexible characteristics to participate in the power system scheduling, which has become a key factor in promoting the consumption of renewable energy, realizing peak shaving and valley filling, and improving the flexibility of the distribution network. important means.

At this stage, the country is vigorously promoting the popularization of electric vehicles. The sales of electric vehicles in my country continued to grow from 2012 to 2016. In 2016, the sales of electric vehicles reached 233,200. Pure electric vehicles use electricity as the driving force, which reduces the consumption of fossil fuels by traditional fuel vehicles. energy dependence. According to the survey, users' electric vehicles are parked 90% of the time, and the use of electric vehicles for mobile distributed energy storage has great potential. The charging power of a single electric vehicle is relatively small. Generally, an electric vehicle charging station is used to manage the charging and discharging of electric vehicles in a unified manner, so as to realize the orderly charging and discharging of electric vehicles. After receiving the control command issued by the power grid, the electric vehicle charging station collects the current number of electric vehicle charging units and the SOC value of each electric vehicle, obtains the charging power of each electric vehicle through optimization calculation, and increases and decreases the load power.

The current research on the operation mode of electric vehicle charging stations mainly focuses on the control mode research as a controllable flexible load.

SUMMARY OF THE INVENTION

In view of the above problems in the prior art, the present invention provides an optimization calculation method and device for the operation mode of an electric vehicle charging station. In the present invention, the electric vehicle charging station is used as a controllable flexible load to participate in the optimal scheduling of the power grid. Under the premise of energy and load forecast values, taking into account the operating safety of the power system and the constraints of stable operation of electric vehicle charging stations, determine the coordination and arrangement of the operation plan of electric vehicle charging stations, and achieve a controllable flexible load on the basis of satisfying the load power requirements. Actively cooperate with the grid, with the goal of maximizing the consumption of renewable energy. The invention quantifies the relationship between the overall charging and discharging power of the electric vehicle charging station and the charging and discharging power of a single electric vehicle, and realizes the optimal calculation of the charging and discharging power of the electric vehicle battery and the compensation cost.

Based on the above-mentioned purpose of the invention, the present invention is achieved through the following technical solutions:

In a first aspect, the present invention provides an optimization calculation method for the operation mode of an electric vehicle charging station, comprising the following steps:

According to the pre-determined charge-discharge power relationship in the preset period of the electric vehicle charging station, the power ramp constraint of the electric vehicle charging station, and the energy storage state of charge SOC relationship between the electric vehicle charging station and the electric vehicle, determine when the charging of the electric vehicle ends. Expected electric vehicle SOC value;

According to the expected electric vehicle SOC value and the pre-built electric vehicle charging station and the power system model for renewable energy consumption, the charging power of the electric vehicle charging station for each time section is calculated; the electric vehicle charging station The power system model for the consumption of renewable energy is to use the electric vehicle charging station as a controllable flexible load, with the goal of maximizing the power generation of renewable energy;

According to the charging power of the electric vehicle charging station in each time section, the charging and discharging power of the electric vehicle battery and the compensation cost are calculated.

The determining of the relationship between the charging and discharging power of the electric vehicle charging station in the preset period includes: modeling the electricity consumption of the electric vehicle charging station, taking the electric vehicle charging station as a transferable load model, and the total electricity consumption before and after the charging power of the electric vehicle charging station is transferred. The amount is the same, see formula (1):

表示响应前t时刻电动汽车充电站的充电功率；

表示响应后t时刻电动汽车充电站的用电功率；

为t时刻电动汽车充电站的充电功率；

为t时刻电动汽车充电站的放电功率；T为计算周期长度。In the formula,

Represents the charging power of the electric vehicle charging station at time t before the response;

Represents the electric power of the electric vehicle charging station at time t after the response;

is the charging power of the electric vehicle charging station at time t;

is the discharge power of the electric vehicle charging station at time t; T is the length of the calculation cycle.

The determination of the electric power ramp constraint of the electric vehicle charging station includes: modeling the electric power ramp constraint of the electric vehicle charging station, and the charging power fluctuation of the electric vehicle charging station is kept within the acceptable range, as shown in formula (2):

分别表示电动汽车充电站作为可转移负荷在1个调度周期内可上、下爬坡功率的最大值。In the formula,

Respectively represent the maximum power of the electric vehicle charging station as a transferable load that can go up and down the slope in one dispatch cycle.

The determining of the SOC relationship between the electric vehicle charging station and the energy storage state of charge of the electric vehicle includes:

The SOC modeling of the energy storage state of charge of the electric vehicle charging station, the calculation formula of the SOC of the electric vehicle charging station is as formula (3), which is expressed as the ratio of the current energy storage power E _rem to the maximum power E _max that the energy storage battery can store; The charging and discharging power and SOC of the electric vehicle flexibly controlled within the time period satisfy the formula (4); among them, the relationship between the SOC of the electric vehicle charging station and the SOC of each electric vehicle at time 0 and time T is shown in formulas (5) and (6):

为第i个电动汽车的电池能够存储最大电量。In the formula, SOC(0) is the SOC value of the initial charging of the electric vehicle; SOC(T) is the SOC value that the user expects to reach at the end of charging; ΔT is a dispatch cycle; SOC ⁱ is the energy storage charge of the ith electric vehicle electrical status;

The battery of the i-th electric vehicle can store the maximum amount of power.

The process of establishing a power system model for the electric vehicle charging station and renewable energy consumption includes:

Establish a power system optimization calculation objective function considering electric vehicle charging station and renewable energy consumption;

Constraints of the objective function are determined, and the constraints include: load balance constraints and upper and lower limit constraints of tie line injection power.

The objective function, see formula (7):

In the formula, P _w (t) is the wind power output at time t, and P _pv (t) is the solar power output at time t.

The load balance constraint, see equation (8):

为每个时间断面的电动汽车充电站充电功率；In the formula, P _PCC (t) is the active power injected into the tie line at time t, and P _l (t) is the load power consumption at time t;

Charging power for electric vehicle charging stations for each time section;

The upper and lower limit constraints of the tie line injection power are shown in formula (9):

P _PCC, min≤P _PCC (t)≤P _PCC,max (9).

The calculation of the charging and discharging power of the electric vehicle battery and the compensation cost according to the charging power of the electric vehicle charging station at each time section includes:

According to the expected SOC value of the electric vehicle, the calling power of the ith electric vehicle at time t is obtained, as shown in formula (10):

为第i个电动汽车t时刻调用前的储能荷电状态，

为第i个电动汽车t时刻调用后的储能荷电状态，

为第i个电动汽车的电池能够存储最大电量；

为第i个电动汽车t时刻的调用功率；In the above formula:

is the stored state of charge of the i-th electric vehicle before the call at time t,

is the stored state of charge of the i-th electric vehicle after being called at time t,

The battery of the i-th electric vehicle can store the maximum power;

is the calling power of the i-th electric vehicle at time t;

见式(11)：Calculate the call compensation cost of the i-th electric vehicle according to the following formula

See formula (11):

为第i个电动汽车的单位容量补偿费用。In the formula,

Compensation fee for the unit capacity of the ith electric vehicle.

In a second aspect, the present invention provides an optimized computing device for the operation mode of an electric vehicle charging station, including:

memory for storing computer programs;

An optimized calculation method for executing the computer program to realize the operation of an electric vehicle charging station as described above.

In a third aspect, the present invention provides a computer storage medium, the computer storage medium stores a computer program, and when the computer program is executed by a processor, realizes the above-mentioned optimization calculation method for the operation mode of the electric vehicle charging station A step of.

The present invention has the following advantages and beneficial effects:

1. The present invention proposes an optimized calculation method, device and computer storage medium for the operation mode of an electric vehicle charging station, which optimizes the schedulability of the electric vehicle charging station and ensures that the electricity consumption remains unchanged within the scheduling period. Under the premise, through the transfer of charging and discharging power, the optimal control of electric vehicle charging stations can be realized, and the waste of renewable energy can be effectively reduced.

2. In the process of optimizing and calculating the combined operation of electric vehicle charging stations and renewable energy power generation, the present invention comprehensively considers the electricity consumption constraints of electric vehicle charging stations, the power consumption ramp constraint modeling, the energy storage state of charge SOC constraints, and the power system. Factors such as load balance constraints and tie line injection power constraints, the calculation results are more in line with the actual power system dispatching situation, and can provide the most intuitive judgment basis for power system dispatching operators.

Description of drawings

In order to facilitate the understanding and implementation of the present invention by those of ordinary skill in the art, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

FIG. 1 is a flow chart of the optimization calculation of the operation mode of the electric vehicle charging station of the present invention.

Detailed ways

The invention relates to an optimization calculation method, device and computer storage medium for the operation mode of an electric vehicle charging station. The invention considers the electric vehicle charging station as a flexible and controllable load to participate in the system operation, so as to realize the integration of renewable energy power generation and electric vehicle charging station. Coordinate operation. The constraints of the electric vehicle charging station control model of the present invention are composed of power consumption constraints, ramping power constraints and energy storage state-of-charge constraints, and the compensation cost of a single electric vehicle invocation is calculated based on the moment-by-moment invocation power.

Example 1

The present invention specifically includes the following steps:

Step 1: Determine the electric vehicle according to the pre-determined charging and discharging power relationship in the preset period of the electric vehicle charging station, the electric power ramp constraint of the electric vehicle charging station, and the energy storage state of charge SOC relationship between the electric vehicle charging station and the electric vehicle The expected EV SOC value at the end of charging;

Step 2: Calculate the charging power of the electric vehicle charging station for each time section according to the expected SOC value of the electric vehicle and the pre-built power system model of the electric vehicle charging station and the renewable energy consumption; The power system model of car charging station and renewable energy consumption is to take the electric car charging station as a controllable flexible load, with the goal of maximizing the power generation of renewable energy;

Step 3: According to the charging power of the electric vehicle charging station at each time section, calculate the charging and discharging power of the electric vehicle battery and the optimization calculation of the compensation cost.

Example 2

The specific implementation process of the present invention will be described below with reference to the optimal calculation flow chart of the operation mode of the electric vehicle charging station in FIG. 1 .

In the step 1, the relationship between the charging and discharging power in the preset period of the electric vehicle charging station is determined, including:

Step 1-1: Modeling the electricity consumption of the electric vehicle charging station, the electric vehicle charging station is used as a transferable load model, and the total electricity consumption before and after the charging power transfer of the electric vehicle charging station is the same, as shown in formula (1):

表示响应前t时刻电动汽车充电站的充电功率；

表示响应后t时刻电动汽车充电站的用电功率；

为t时刻电动汽车充电站的充电功率；

为t时刻电动汽车充电站的放电功率；T为计算周期长度。In the formula,

Represents the charging power of the electric vehicle charging station at time t before the response;

Represents the electric power of the electric vehicle charging station at time t after the response;

is the charging power of the electric vehicle charging station at time t;

is the discharge power of the electric vehicle charging station at time t; T is the length of the calculation cycle.

Step 1-2: Determine the power ramping constraints of the electric vehicle charging station, including: modeling the power ramping constraints of the electric vehicle charging station, the charging power fluctuation of the electric vehicle charging station should be kept within an acceptable range, see equation (2) :

分别表示电动汽车充电站作为可转移负荷在1个调度周期内可上、下爬坡功率的最大值，1个调度周期的时间长度通常为15分钟。In the formula,

Respectively represent the maximum power of the electric vehicle charging station as a transferable load that can go up and down in one dispatch period, and the time length of one dispatch period is usually 15 minutes.

Step 1-3: Determine the SOC relationship between the electric vehicle charging station and the energy storage state of charge of the electric vehicle, including: modeling the energy storage state of charge of the electric vehicle charging station, and the calculation formula of the SOC of the electric vehicle charging station is as formula (3), It is expressed as the ratio of the current energy storage energy E _rem to the maximum energy E _max that the energy storage battery can store. Equation (4) is satisfied for the electric vehicle charging and discharging power and SOC which are flexibly controlled during the charging period. Among them, the relationship between the SOC of the electric vehicle charging station and the SOC of each electric vehicle at time 0 and time T is shown in equations (5) and (6).

为第i个电动汽车的电池能够存储最大电量。In the formula, SOC(0) is the SOC value of the initial charging of the electric vehicle; SOC(T) is the SOC value that the user expects to reach at the end of charging; ΔT is a dispatch cycle; SOC ⁱ is the energy storage charge of the ith electric vehicle electrical status;

The battery of the i-th electric vehicle can store the maximum amount of power.

The process of establishing a power system model for the electric vehicle charging station and renewable energy consumption in the step 2 includes: establishing a power system optimization calculation objective function considering the electric vehicle charging station and renewable energy consumption; determining the objective function The constraints include: load balance constraints and upper and lower limit constraints of tie line injection power; and calculate the charging power of the electric vehicle charging station at each time section.

Step 2-1: Establish a power system optimization calculation objective function considering the electric vehicle charging station and renewable energy consumption, and determine the constraints of the objective function, the constraints include: load balance constraints and tie line injection power, Lower bound.

使计算周期内可再生能源发电量最大，所述目标函数，见式(7)。Calculate the charging power of the electric vehicle charging station for each time section

To maximize the renewable energy power generation in the calculation period, the objective function is shown in formula (7).

In the formula, P _w (t) is the wind power output at time t, and P _pv (t) is the solar power output at time t.

Step 2-2: Load balance constraints, see equation (8).

为每个时间断面的电动汽车充电站充电功率。In the formula, P _PCC (t) is the active power injected by the tie line at time t, P _l (t) is the load power consumption at time t,

Charging power for electric vehicle charging stations per time section.

Step 2-3: The upper and lower limits of the tie line injection power are restricted, see equation (9).

P _PCC,min ≤P _PCC (t)≤P _PCC,max (9)

此时实现了可再生能源发电与电动汽车充电站充放电的优化运行，实现可再生能源发电最大。Step 2-4: Finally, by using the mathematical model established by the above new method, optimize the calculation to obtain the charging power of the electric vehicle charging station for each time section

At this time, the optimal operation of renewable energy power generation and charging and discharging of electric vehicle charging stations is realized, and the maximum renewable energy power generation is realized.

Step 3: Calculate the charging and discharging power of the electric vehicle battery and the compensation cost according to the charging power of the electric vehicle charging station at each time section, including:

Step 3-1: Obtain the calling power of the ith electric vehicle at time t according to the SOC value of the electric vehicle calculated in step 1, see equation (10).

为第i个电动汽车t时刻调用前的储能荷电状态，

为第i个电动汽车t时刻调用后的储能荷电状态，

为第i个电动汽车的电池能够存储最大电量；

为第i个电动汽车t时刻的调用功率。In the above formula:

is the stored state of charge of the i-th electric vehicle before the call at time t,

is the stored state of charge of the i-th electric vehicle after being called at time t,

The battery of the i-th electric vehicle can store the maximum power;

is the calling power of the i-th electric vehicle at time t.

见式(11)。Step 3-2: Calculate the call compensation cost of the i-th electric vehicle according to the following formula

See equation (11).

为第i个电动汽车的单位容量补偿费用。In the formula,

Compensation fee for the unit capacity of the ith electric vehicle.

Example 3

Based on the same inventive concept, the embodiment of the present invention also provides an optimization calculation device for the operation mode of an electric vehicle charging station, the principle of which is similar to an optimization calculation method for the operation mode of an electric vehicle charging station, and the repetition is not repeated. Repeat.

The optimization computing device for the operation mode of the electric vehicle charging station includes:

memory for storing computer programs;

An optimized calculation method for executing the computer program to realize the operation mode of the electric vehicle charging station described in Embodiment 1 or 2.

Example 4

Based on the same inventive concept, an embodiment of the present invention further provides a computer storage medium, where a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the electric vehicle charging described in Embodiment 1 or 2 is implemented Steps in the calculation method for the optimization of the operation mode of the station.

Embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Those of ordinary skill in the art should understand that the discussion of any of the above embodiments is only exemplary, and is not intended to imply that the scope of the present disclosure, including the claims, is limited to these examples; under the spirit of the present invention, the above embodiments or There may also be combinations between technical features in different embodiments, steps may be carried out in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.

Embodiments of the present invention are intended to cover all such alternatives, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omission, modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. an optimization calculation method of electric vehicle charging station operation mode is characterized in that: comprise the following steps: According to the pre-determined charge-discharge power relationship in the preset period of the electric vehicle charging station, the power ramp constraint of the electric vehicle charging station, and the energy storage state of charge SOC relationship between the electric vehicle charging station and the electric vehicle, determine when the charging of the electric vehicle ends. Expected electric vehicle SOC value; According to the expected electric vehicle SOC value and the pre-built electric vehicle charging station and the power system model for renewable energy consumption, the charging power of the electric vehicle charging station for each time section is calculated; the electric vehicle charging station The power system model for the consumption of renewable energy is to use the electric vehicle charging station as a controllable flexible load, with the goal of maximizing the power generation of renewable energy; According to the charging power of the electric vehicle charging station in each time section, the charging and discharging power of the electric vehicle battery and the compensation cost are calculated. 2 . The method for optimizing the operation mode of an electric vehicle charging station according to claim 1 , wherein: said determining the relationship between the charging and discharging power in a preset period of the electric vehicle charging station comprises: electricity consumption of the electric vehicle charging station. 3 . The electric vehicle charging station is used as a transferable load model, and the total electricity consumption before and after the charging power transfer of the electric vehicle charging station is the same, as shown in formula (1):

In the formula,

Represents the charging power of the electric vehicle charging station at time t before the response;

Represents the electric power of the electric vehicle charging station at time t after the response;

is the charging power of the electric vehicle charging station at time t;

is the discharge power of the electric vehicle charging station at time t; T is the length of the calculation cycle. 3 . The method for optimizing the operation mode of an electric vehicle charging station according to claim 1 , wherein: said determining the electric power ramping constraint of the electric vehicle charging station comprises: the electric vehicle charging station using the electric power ramping constraint 3 . Modeling, the charging power fluctuation of the electric vehicle charging station is kept within the acceptable range, see equation (2):

In the formula,

Respectively represent the maximum power of the electric vehicle charging station as a transferable load that can go up and down the slope in one dispatch cycle. 4. The optimal calculation method for the operation mode of an electric vehicle charging station according to claim 1, wherein the determining the relationship between the electric vehicle charging station and the state-of-charge (SOC) relationship of the electric vehicle charging station comprises: The SOC modeling of the energy storage state of charge of the electric vehicle charging station, the calculation formula of the SOC of the electric vehicle charging station is as formula (3), which is expressed as the ratio of the current energy storage power E _rem to the maximum power E _max that the energy storage battery can store; The charging and discharging power and SOC of the electric vehicle flexibly controlled within the time period satisfy the formula (4); among them, the relationship between the SOC of the electric vehicle charging station and the SOC of each electric vehicle at time 0 and time T is shown in formulas (5) and (6):

In the formula, SOC(0) is the SOC value of the initial charging of the electric vehicle; SOC(T) is the SOC value that the user expects to reach at the end of charging; ΔT is a dispatch cycle; SOC ⁱ is the energy storage charge of the ith electric vehicle electrical status;

The battery of the i-th electric vehicle can store the maximum amount of power. 5. The optimal calculation method for the operation mode of an electric vehicle charging station according to claim 1, wherein the process of establishing a power system model of the electric vehicle charging station and the consumption of renewable energy comprises: Establish a power system optimization calculation objective function considering electric vehicle charging station and renewable energy consumption; Constraints of the objective function are determined, and the constraints include: load balance constraints and upper and lower limit constraints of tie line injection power. 6. The optimal calculation method for the operation mode of an electric vehicle charging station according to claim 5, characterized in that: the objective function is shown in formula (7):

In the formula, P _w (t) is the wind power output at time t, and P _pv (t) is the solar power output at time t. 7. The optimal calculation method for the operation mode of an electric vehicle charging station according to claim 5, wherein: the load balance constraint is shown in formula (8):

In the formula, P _PCC (t) is the active power injected by the tie line at time t; P _l (t) is the load power consumption at time t;

Charging power for electric vehicle charging stations for each time section; The upper and lower limit constraints of the tie line injection power are shown in formula (9): P _PCC, min≤P _PCC (t)≤P _PCC,max (9). 8 . The method for optimizing the operation mode of an electric vehicle charging station according to claim 1 , wherein: according to the charging power of the electric vehicle charging station in each time section, the electric vehicle battery charging and discharging power and compensation are calculated. 9 . costs, including: According to the expected SOC value of the electric vehicle, the calling power of the ith electric vehicle at time t is obtained, as shown in formula (10):

In the above formula:

is the stored state of charge of the i-th electric vehicle before the call at time t,

is the stored state of charge of the i-th electric vehicle after being called at time t,

The battery of the i-th electric vehicle can store the maximum power;

is the calling power of the i-th electric vehicle at time t; Calculate the call compensation cost of the i-th electric vehicle according to the following formula

See formula (11):

In the formula,

Compensation fee for the unit capacity of the ith electric vehicle. 9. An optimization computing device for the operation mode of an electric vehicle charging station, characterized in that: comprising: memory for storing computer programs; An optimized calculation method for executing the computer program to realize the operation mode of an electric vehicle charging station according to any one of claims 1-8. 10. A computer storage medium, wherein a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the operation mode of the electric vehicle charging station according to any one of claims 1-8 is realized The steps of the optimization calculation method.

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