KR102837224B1 - Virtual net metering system for transaction of remote solar surplus power and power transaction method of the same - Google Patents

Abstract

A virtual netting transaction system according to one embodiment of the present invention may include a data collection unit that collects power generation information of solar power plants and electricity consumption information of energy purchasers, a data storage unit that stores information collected by the data collection unit, a power calculation unit that calculates a recommended power purchase amount of the energy purchasers using the power generation information and the electricity consumption information stored in the data storage unit, and a transaction management unit that provides information on the recommended power purchase amount to a power company to enable a power netting transaction for the energy purchasers.

Description

{VIRTUAL NET METERING SYSTEM FOR TRANSACTION OF REMOTE SOLAR SURPLUS POWER AND POWER TRANSACTION METHOD OF THE SAME}

The present invention relates to a virtual netting transaction system and a transaction method thereof that enable even power consumers who cannot install solar power generation facilities to participate in power netting transactions.

Recently, the number of customers using the offset transaction system is increasing due to the increase in electricity rates.

Offset trading is a trading system in which the owner of a solar power generation facility consumes some of the electricity generated by the solar power generation facility, sends the remaining surplus electricity back to the power seller, and calculates the electricity bill based on the amount of electricity received from the power seller (power company) minus the amount of electricity sent back. Users of residential electricity subject to the progressive electricity rate system can mitigate the progressive tax through this offset trading system, thereby maximizing the effect of reducing electricity bills.

However, since the existing offset system can only be used by customers who install and use solar power generation facilities, many electricity consumers who cannot install solar power generation facilities due to complex reasons such as institutional (mortgage rights, surface rights, leases, etc.), environmental (prefabricated buildings, roof tiles, etc.), and economic (low- and middle-income classes, etc.) are unable to use the offset system. In addition, as indiscriminate renewable energy supply policies and projects are activated, solar power facilities are increasing, resulting in a growing surplus of solar power. Excessive facilities and reverse transmission of surplus power lower the stability of the power grid by increasing the frequency and generating overvoltage, and lead to national economic losses such as additional installation of transmission and distribution networks, making the utilization of surplus solar power more necessary.

The present invention aims to provide a virtual netting transaction system and a transaction method thereof that enable even power consumers who cannot install solar power generation facilities to participate in power netting transactions.

A virtual netting transaction system according to one embodiment of the present invention may include a data collection unit that collects power generation information of solar power plants and electricity consumption information of energy purchasers, a data storage unit that stores information collected by the data collection unit, a power calculation unit that calculates a recommended power purchase amount of the energy purchasers using the power generation information and the electricity consumption information stored in the data storage unit, and a transaction management unit that provides information on the recommended power purchase amount to a power company to enable a power netting transaction for the energy purchasers.

A virtual netting transaction method according to one embodiment of the present invention may include a step of collecting power generation of solar power plants and electricity consumption of energy purchasers, a step of predicting current month power generation and current month electricity consumption using the previous month's power generation of the solar power plants and the previous month's electricity consumption of the energy purchasers, a step of calculating a first recommended power purchase amount for the energy purchasers using the predicted power generation of the current month and the predicted electricity consumption of the current month, and a step of calculating a second recommended power purchase amount for the purchasers using the current month's actual power generation of the solar power plants and the current month's actual electricity consumption of purchasers among the energy purchasers who have applied for netting transaction.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

The present invention can save electricity bills by allowing power consumers who cannot install solar power generation facilities to participate in power offset transactions, and can increase accessibility to and acceptance of renewable energy by allowing them to directly experience the effects of using renewable energy.

In addition, the present invention can reduce the cost of expanding and constructing a power transmission network by enabling the trading of power produced from remote solar power, and can resolve the instability and uncertainty of the power grid caused by surplus power by constructing a local production and local consumption type power system that consumes local energy in the region rather than a centralized type.

FIG. 1 is a drawing exemplarily showing the overall configuration of a virtual net metering service using a virtual net metering (VNM) system according to one embodiment of the present invention.
Figure 2 is a drawing exemplarily showing the configuration of the virtual transaction system of Figure 1.
Figure 3a is a diagram exemplarily showing a data sheet for predicting electricity consumption.
Figure 3b is a diagram showing an example of a data sheet for predicting power generation.
Figure 4 is a flowchart exemplarily explaining a virtual netting transaction method according to one embodiment of the present invention.
FIG. 5 is a drawing exemplarily comparing the electricity bill reduction effect by transaction method of virtual netting transaction according to one embodiment of the present invention.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. When adding reference numerals to components in each drawing, it should be noted that the same components are given the same numerals as much as possible even if they are shown in different drawings. In addition, when describing embodiments of the present invention, if it is determined that a specific description of a related known configuration or function hinders understanding of the embodiments of the present invention, the detailed description thereof will be omitted.

FIG. 1 is a drawing exemplarily showing the overall configuration of a virtual netting transaction service using a virtual netting transaction system according to one embodiment of the present invention.

Referring to FIG. 1, a virtual netting transaction system (100) according to one embodiment of the present invention may be connected to solar power plants (12), energy buyers (14), and a power company (16) through a network. At this time, the solar power plants (12) and energy buyers (14) may be subscribers to the virtual netting transaction service according to the present embodiment.

Solar power plants (12) can produce solar energy using solar power generation facilities. Solar power plants (12) can have solar panels installed on the ground or on the roof or rooftop of a building, and can convert solar energy into photovoltaic power to produce electricity. Solar power plants (12) can include power plants of solar power generation business operators or power plants of power prosumers that consume part of the generated electricity and send back the unconsumed electricity (surplus electricity) to the power company (16). Such solar power plants (12) can become energy sellers.

Solar power plants (12) can provide power generation information and facility information of the power plants to the virtual netting transaction system (100). For example, solar power plants (12) can provide the RTU serial number, PV (Photovoltaic) voltage, PV current, PV output, grid voltage, grid current, current output, power factor, frequency, cumulative power generation, operating status (determination of failure), facility-related data (module capacity, azimuth, inclination, inverter capacity, company contact information, etc.) for the solar power plants to the virtual netting transaction system (100) through a remote terminal unit (RTU) or by direct input by an energy seller when signing up for a virtual netting transaction service.

Energy purchasers (14) can provide their electricity consumption information and personal information to the virtual netting system (100). For example, energy purchasers (14) can measure AMI serial numbers, real-time electricity consumption, hourly electricity consumption, etc. for the energy purchasers through a remote metering device (AMI: Advanced Metering Infrastructure) or by directly entering the information when signing up for the virtual netting service, and provide the measurement information to the virtual netting system (100). Energy purchasers (14) can be energy consumers who are not connected to the grid of solar power plants (12) and receive electricity from a power company (16).

The power company (16) supplies electricity to energy buyers (14) and can charge the energy buyers (14) an electricity rate for which an offset transaction has been made by linking with the virtual offset transaction system (100). That is, the power company (16) can charge the electricity rate based on the amount of electricity consumed by the energy buyers (14) minus the amount of electricity purchased by the energy buyers through the virtual offset transaction system (100). To this end, the power company (16) can provide customer information (offset information, customer number, account information, billing amount, contract type, current month's usage, current month's offset metering, etc.) about the energy buyers (14) to the virtual offset transaction system (100) and receive transaction information about the energy buyers (14) from the virtual offset transaction system (100).

The virtual netting system (100) can provide a virtual netting service that allows energy consumers (energy purchasers) (14) who do not directly install and operate solar power generation facilities to purchase electricity from remote solar power plants (12) and use the purchased electricity to make netting transactions with a power company (16). To this end, the virtual netting system (100) can collect information on power generation and facility status from solar power plants (12), collect electricity consumption information from energy purchasers (14), and manage the collected information by creating a database. The virtual netting system (100) can receive personal information about energy purchasers (14) when signing up for the virtual netting service and manage it together.

The virtual netting transaction system (100) can use information collected from solar power plants (12) and energy buyers (14) to predict the power generation of the power plants (12) and the electricity consumption of the energy buyers (14), calculate the electricity bills and the recommended electricity purchase amount of the energy buyers using the predicted information (power generation, electricity consumption), and then inform the energy buyers (14) of the calculated information. For example, the virtual netting transaction system (100) can predict the current month's power generation and electricity consumption based on the previous month's power generation and electricity consumption, and can calculate the current month's electricity bill, the recommended electricity purchase amount, and the electricity bill saved by purchasing the recommended electricity purchase amount based on the predicted current month's power generation and current month's electricity consumption, and inform the energy buyers (14) of the calculated information. At this time, the recommended purchase power amount is the power amount that can lower the electricity rate progressive level of energy buyers (14) as much as possible within the range of purchaseable power amount based on the predicted power generation amount, and may represent the power amount calculated by the virtual offset trading system (100) and recommended to energy buyers.

The virtual netting system (100) matches energy purchasers (purchasers) who have applied for energy purchase among energy purchasers (14) who have subscribed to the virtual netting service with solar power plants (12) and calculates the purchase amount of electricity that can be purchased by each purchaser. When the purchaser makes a final decision to purchase the calculated purchase amount of electricity, the virtual netting system (100) charges the purchaser (energy purchasers) a fee for the purchased amount of electricity and provides the purchase information to the power company (16) so that an netting transaction can be made between the energy purchasers and the power company (16) for the amount of electricity purchased. In other words, the power company (16) charges the energy purchasers (14) who have purchased electricity from solar power plants (12) through the virtual netting system (100) an electricity fee based on the amount of electricity consumed by the energy purchasers (14) minus the amount of electricity purchased through the virtual netting system (100).

FIG. 2 is a drawing exemplarily showing the configuration of the virtual netting transaction system of FIG. 1, and FIGS. 3a and 3b are drawings exemplarily showing a data sheet for predicting electricity consumption and a data sheet for predicting power generation in the virtual netting transaction system, respectively.

Referring to FIG. 2, FIG. 3a and FIG. 3b, the virtual currency trading system (100) may include a data collection unit (110), a data storage unit (120), a power calculation unit (130), a transaction management unit (140), a monitoring unit (150) and an external linkage unit (160).

The data collection unit (110) is connected to the remote terminal units (RTUs) of the solar power plants (12) through a network to collect power generation information and facility information of the power plants (12), and can store the collected information in the data storage unit (120) by classifying it by power plant. In addition, the data collection unit (110) is connected to the remote metering devices (AMI) of the energy purchasers (14) through a network to collect the electricity consumption information of the energy purchasers (14), and can store the collected information in the data storage unit (120) by classifying it by energy purchaser. In addition, the data collection unit (110) is connected to the power company (16) through a network to receive customer information about the energy purchasers (14) from the power company (16) and store it in the data storage unit (120). In addition, the data collection unit (110) can store the subscription information entered by subscribers (energy sellers, energy buyers) when signing up for the virtual netting transaction service, together with information about the solar power plant or energy buyer, in the data storage unit (120). In addition, the data collection unit (110) can collect information (e.g., weather information such as temperature, humidity, and weather) that can affect the power generation of solar power plants (12) through an external linkage unit (160) and store it in the data storage unit (120).

The data storage unit (120) can store information related to solar power plants (12) and information related to energy buyers (14) provided from the data collection unit (110). For example, the data storage unit (120) can store power generation information and facility information of solar power plants (12), and store electricity consumption information, subscription information, and customer information for energy buyers (14). In addition, the data storage unit (120) can receive and store weather information collected from an external linkage unit (160) through the data collection unit (110). The data storage unit (120) can sequentially store power generation information, electricity consumption information, and weather information according to the time of collection.

The power estimation unit (130) can predict the power generation amount of each power plant in the current month based on the power generation information and facility information of each power plant in the past (e.g., the previous month) stored in the data storage unit (120), and can predict the electricity consumption of each energy purchaser in the current month based on the electricity consumption information of each energy purchaser in the past. For example, the power estimation unit (130) can predict the electricity consumption of the current month using the electricity consumption of each energy purchaser (14) by time zone in the previous month, whether it is a public holiday, temperature, day of the week, season, and weather information, as in the data sheet of FIG. 3a. Since the electricity consumption is time series data that changes over time, SARIMA, which is a non-stationary time series analysis technique, can be used as an electricity consumption prediction model, and by reflecting seasonal factors here, stationarity can be secured.

In addition, the power estimation unit (130) can predict the current month's power generation by using the previous month's hourly power generation, PV voltage, PV current, PV output, current output, power factor, frequency, module capacity, module efficiency, azimuth, inclination, inverter capacity, temperature, humidity, and weather of the solar power plants (12), as in the data sheet of Fig. 3b. At this time, the power generation prediction can be made in the same way as the electricity consumption prediction.

The power estimation unit (130) can calculate the current electricity bill of the energy buyers (14), the recommended purchase power, and the electricity bill saved when purchasing the recommended purchase power and making an offsetting transaction based on the predicted power generation and electricity consumption. For example, the power estimation unit (130) can match the energy buyers (14) with solar power plants belonging to the same substation among solar power plants (12), and calculate the recommended purchase power based on the predicted power generation of the matched solar power plants and the predicted electricity consumption of the energy buyers. At this time, the recommended purchase power can represent the power amount that can lower the electricity rate progressive level of the corresponding energy buyers as much as possible within the range of the purchaseable power amount obtained by dividing the predicted power generation of the matched solar power plants by the number of the corresponding energy buyers.

In addition, the power calculation unit (130) can calculate the power purchase amount of the purchase applicants based on the actual power generation and actual electricity consumption of the current month stored in the data storage unit (110), the purchase application information of the purchase applicants who have applied (received) for energy purchase among the energy purchasers (14), and the preset purchase conditions. For example, when the power calculation unit (130) receives the transaction method (recommended purchase or desired purchase) and the desired power purchase amount from the purchase applicants who have applied for energy purchase among the energy purchasers (14), the power calculation unit (130) matches the purchase applicants with solar power plants belonging to the same substation among solar power plants (12), and calculates the power purchaseable amount, the recommended power purchase amount, and the desired power purchase amount by using the actual power generation and actual electricity consumption of the matched power plants and the purchase applicants and the desired power purchase amount entered by the purchase applicants.

At this time, the amount of power available for purchase is the maximum amount of power available for purchase from the matched solar power plants, and can be the value obtained by dividing the total power generation of the matched solar power plants by the number of purchase applicants (matched purchase applicants).

The recommended purchase power amount can be the power amount that the power calculation unit (130) calculates to lower the electricity rate progressive stage for the actual electricity consumption as much as possible within the range of the purchaseable power amount of the purchase applicants who have selected the recommended purchase, and can be used to indicate the recommended power amount for the purchase applicants. The desired purchase power amount can be the power amount that the purchase applicants who have selected the desired purchase directly decide on the desired power amount and then input through the monitoring unit (150).

The recommended purchase power amount and the desired purchase power amount can be calculated so as not to exceed the purchaseable power amount and the power amount received by the purchase applicant. The purchase power amount is the power amount that is finally decided to be purchased, and can be the calculated recommended purchase power amount and desired purchase power amount that satisfy all of the purchase conditions described above.

To this end, the power estimation unit (130) can calculate the recommended purchase power amount so that it does not exceed the available power amount and the power consumption. In addition, when purchase applicants input the desired purchase power amount through the monitoring unit (150), the power estimation unit (130) can check whether the input desired purchase power amount exceeds the available power amount and the power consumption.

The transaction management unit (140) can control the operations of the power calculation unit (130), the monitoring unit (150), and the external linkage unit (160) to conduct virtual netting transactions, and manage customer information, billing information, and netting information for virtual netting transaction service subscribers (12, 14). For example, the transaction management unit (140) can regularly inquire energy purchasers (14) through the monitoring unit (150) about whether to apply for virtual netting transactions, and can request purchase applicants to select a transaction method and input a desired purchase amount of electricity. In addition, the transaction management unit (140) can provide information received from energy purchasers (14) or purchase applicants through the monitoring unit (150) to the power calculation unit (130) so that the power calculation unit (130) can perform operations for the virtual netting transactions described above. In addition, the transaction management unit (140) can provide the purchase power amount calculated by the strategic amount calculation unit (130) to the power company (16) through the external linkage unit (160) so that the power company (16) can make a power offset transaction for the relevant purchase applicants, and can perform a bill settlement between the solar power plants (12) and the purchase applicants. In addition, the transaction management unit (140) can receive and manage the offset information from the power company (16), and can enable the virtual offset transaction service subscribers (12, 14) to check such offset information and bill settlement information through the monitoring unit (150).

The monitoring unit (150) can provide a function for virtual netting service subscribers (12, 14) to input information required for virtual netting transactions through the web or app and to search for virtual netting transaction information. For example, service subscribers (12, 14) can search for transaction status, current monthly netting amount, electricity bill savings statistics, electricity consumption status, etc. through the monitoring unit (150), and can input, search, change, etc. information required for virtual netting transaction services (personal information, transaction method selection, desired electricity purchase amount, etc.).

The external linkage (160) can be linked to the power company (16) through a network to share customer information, transaction information, and offset information about energy purchasers (14) with the power company (16). For example, the external linkage (160) can receive customer information about energy purchasers (14) from the power company (16), and when the purchase amount of power of purchase applicants is calculated, the information can be provided to the power company (16) so that an offset transaction of power can be made between purchase applicants and the power company (16) for the amount of power purchased. In addition, the external linkage (160) can receive offset information about the offset transaction from the power company (16).

Figure 4 is a flowchart exemplarily explaining a virtual netting transaction method according to one embodiment of the present invention.

Referring to FIG. 4, the data collection unit (110) of the virtual commerce system (100) can collect power generation information from solar power plants (12), electricity consumption information from energy purchasers (14), and weather information from an external linkage unit (160) in real time or periodically (e.g., hourly, daily, day of the week, etc.) through a network and store them in the data storage unit (120) (S410).

Next, the power calculation unit (130) can predict the current month's power generation and current month's electricity consumption by using the previous month's power generation of solar power plants (12) stored in the data storage unit (120) and the previous month's electricity consumption of energy purchasers (14) subscribed to the virtual netting transaction service (step S420).

For example, the power estimation unit (130) can apply the data sheet of FIG. 3a to the non-stationary time series analysis technique (SARIMA), which is a prediction model, to predict the electricity consumption for each of the energy purchasers (14). In addition, the power estimation unit (130) can apply the data sheet of FIG. 3b to the non-stationary time series analysis technique (SARIMA), which is a prediction model, to predict the power generation for each of the solar power plants (12). At this time, by reflecting not only the power generation information of the solar power plants (12) and the electricity consumption information of the energy purchasers (14), but also seasonal factors such as season, weather, temperature, and humidity, the stationarity of the predicted value can be secured.

Next, the power calculation unit (130) can predict the progressive level of energy purchasers (14) based on the predicted power generation and electricity consumption and calculate the amount of power (recommended purchase amount of power) required to lower the progressive level as much as possible (S430).

To this end, the power estimation unit (130) can match solar power plants belonging to the same substation with energy buyers, and then divide the total predicted power of the matched solar power plants by the number of energy buyers to obtain the power available for purchase. Then, the power estimation unit (130) can calculate how much of the predicted electricity consumption of the energy buyers must be deducted within the range of the power available for purchase to lower the progressive level.

For example, it is assumed that the predicted power generation of solar power plants belonging to the same substation is 450 KWh, there are three households (Buyer 1, Buyer 2, and Buyer 3) as energy buyers, and the predicted electricity consumption of Buyers 1 to 3 is 350 KWh, 250 KWh, and 450 KWh, respectively. Since the current progressive rate sections of residential electricity rates are Section 1: 200 KWh or less, Section 2: 201 to 400 KWh, and Section 3: 400 KWh or less, an offset transaction of 150 KWh is needed to lower the progressive level of Buyer 1, and an offset transaction of 50 KWh is needed to lower the progressive level of Buyer 2. In addition, Buyer 3 needs an offset transaction of 50 KWh to lower the progressive level by 1, and an offset transaction of 250 KWh is needed to lower it by 2 levels.

However, considering the fairness of energy buyers, the purchaseable power amount of each energy buyer can be applied equally. In such a case, the purchaseable power amount of each energy buyer can be 150KWh (= 450KWh / 3) which is the predicted power generation amount (450KWh) divided by the number of energy buyers (3). In this case, the purchaseable power amount cannot exceed the electricity consumption of the corresponding energy buyer.

Since the amounts of electricity (150KWh, 50KWh) required by Buyer 1 and Buyer 2 to lower the progressive level are within the range of purchasable electricity (150KWh) and do not exceed their electricity consumption (350KWh, 250KWh), the recommended purchase amounts of electricity for Buyer 1 and Buyer 2 can be 150KWh and 50KWh, respectively. On the other hand, in the case of Buyer 3, both the amounts of electricity required to lower the progressive level by one (50KWh) and the amounts of electricity required to lower it by two (250KWh) do not exceed his electricity consumption (450KWh), but the amount of electricity required to lower the progressive level by one (50KWh) is within the range of purchasable electricity (150KWh), and the amount of electricity required to lower it by two (250KWh) is outside the range of purchasable electricity (150KWh). Therefore, the recommended purchase amount of electricity for Buyer 3 could be 50KWh.

In addition, the power calculation unit (130) can calculate the current month's electricity bill based on the predicted electricity consumption and calculate the electricity bill saved when an offset transaction is made for the recommended purchase amount of electricity.

The transaction management department (140) can receive applications (first applications) by informing energy purchasers (14) of data calculated by the power calculation department (130) (recommended purchase power, current month's predicted power bill, and current month's saved power bill when purchasing the recommended purchase power bill, etc.) through the monitoring department (150) and asking whether they wish to participate in the virtual netting transaction.

When energy purchasers (14) who wish to participate are accepted (first acceptance) and the actual power generation of the current month is collected through the data collection unit (110) and stored in the data storage unit (120), the power calculation unit (130) can calculate the amount of power that can be purchased based on the actual power generation of the solar power plants (12) and the number of purchase applicants accepted for the first time (S440).

At this time, the amount of power available for purchase may be the value obtained by dividing the actual total power generation by the number of purchase applicants for solar power plants and purchase applicants belonging to the same substation. That is, in the above-described step S430, the amount of power available for purchase was calculated for all energy purchasers (14) who have subscribed to the virtual offset transaction service, but in step S440, the amount of power available for purchase may be calculated for energy purchasers who have actually applied for the virtual offset transaction.

After the purchase applicants are initially accepted, after a certain period of time (e.g., 5 days), the transaction management unit (140) can receive applications again (secondary applications) by informing the first purchase applicants of the amount of electricity available for purchase and asking about their participation in virtual netting transactions, transaction methods, and purchase amounts of electricity. The transaction method selection can be made by selecting one of the following: a method of purchasing the amount of electricity recommended by the virtual netting system (100) (recommended purchase) to lower the progressive electricity rate stage (recommended purchase) and a method of purchasing the amount of electricity (desired purchase) that the applicant wants (desired purchase). At this time, purchase applicants who have selected the desired purchase can be asked to input the desired purchase amount of electricity.

When the secondary application is completed, the power calculation department (130) can calculate the power purchase amount of the secondary application applicants so that the preset purchase conditions are satisfied (S450).

Since the purchase applicants at the time of the second application may be different from the purchase applicants at the time of the first application, the power calculation department (130) can first match the purchase applicants received at the second application with power plants belonging to the same substation and then calculate the purchaseable power amount using the total power generation of the matched power plants.

Once the purchasable power amount is calculated, the power amount calculation unit (130) can calculate the recommended purchase power amount of the purchase applicants who have selected the recommended purchase, as in the step S430 described above, so as not to exceed the purchaseable power amount and the power consumption (actual power consumption) of the purchase applicants. The recommended purchase power amount calculated in this way can be the purchase power amount that the purchase applicants ultimately purchase.

In addition, the power calculation unit (130) can check whether the input desired power purchase amount is within the range of the power available for purchase and whether it exceeds the power consumption of the purchase applicant for the purchase applicant who has applied for the desired purchase. If the input desired power purchase amount is within the range of the power available for purchase and does not exceed the power consumption, the power calculation unit (130) can calculate the desired power purchase amount as the power consumption of the purchase applicant. However, if the input desired power purchase amount is outside the range of the power available for purchase or exceeds the power consumption, the power calculation unit (130) can convey the fact to the transaction management unit (140). Then, the transaction management unit (140) can notify the purchase applicant of the fact through the monitoring unit (150) and request that the power purchase amount be adjusted so that it does not exceed the power available for purchase and the power consumption.

When the purchase applicant re-enters the purchase power amount, the power calculation unit (130) can check again whether the entered purchase power amount exceeds the purchaseable power amount and the power consumption amount, and if not, can calculate the desired purchase power amount as the purchase power amount.

Once the purchase power of the purchase applicants is calculated, the power calculation unit (130) can calculate the electricity bill reflecting the calculated purchase power (recommended purchase power, desired purchase power) and the electricity bill saved through the purchase of the power.

When the purchase power quantity is finally calculated and the electricity bill is calculated accordingly, the transaction management unit (140) can notify the purchase applicants of the results through the monitoring unit (150) so that they can check them. At this time, the transaction management unit (140) can also request the purchase applicants to make a final decision on whether to make an offset transaction according to the results.

The transaction management unit (140) can enable a power offset transaction by transmitting the calculated purchased power amount to the power company (16) through an external link unit (160) (S460).

For example, when the power company (16) receives purchase information about purchase applicants from the virtual netting transaction system (100), it can offset the amount of electricity purchased by the purchase applicants from the amount of electricity received by the purchase applicants and charge electricity rates only for the remaining amount of electricity received. When the netting process is completed, the power company (16) can provide the netting results to the external linkage unit (160).

The transaction management department (140) can charge purchase applicants a fee for the amount of electricity purchased through virtual netting transactions and perform fee settlement to pay the electricity sales price to solar power plants (12) (S470).

FIG. 5 is a drawing exemplarily comparing the electricity bill reduction effect by transaction method of virtual netting transaction according to one embodiment of the present invention.

Referring to Figure 5, assuming that the energy purchaser's monthly electricity usage (electricity consumption) is 500KWh, if the energy purchaser does not use the virtual offset transaction service, the 3rd stage of the progressive rate system will be applied and an electricity bill of 127,000 won may be charged.

However, if the energy purchaser purchases 100KWh through the recommended purchase among the virtual offset transaction methods according to this embodiment, the progressive stage can be lowered to level 2, so a cost of 89,270 won including the virtual offset transaction service cost can be charged. If the purchaseable power amount is large and 300KWh can be purchased, more costs can be saved by lowering the progressive stage to level 1.

If an energy buyer purchases only 50KWh through a wish purchase, although the progressive level is not lowered, the cost is charged at 111,510 won, which shows that the cost can be saved compared to not using the virtual offset transaction service. If the power purchase amount exceeds 100KWh through a wish purchase, the cost can be saved more than if 100KWh is purchased through a recommended purchase.

The transaction management department (140) can provide energy buyers with a comparison of the cost when not using the virtual offset transaction service and the cost according to the transaction method they used, as shown in Fig. 5, through the monitoring department (150).

The above description is merely an example of the technical idea of the present invention, and those skilled in the art will appreciate that various modifications and variations may be made without departing from the essential characteristics of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to explain it, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the rights of the present invention.

Claims (13)

Data collection department that collects power generation information from solar power plants and electricity consumption information from energy buyers;
A data storage unit that stores information collected from the above data collection unit;
A power calculation unit that calculates the recommended power purchase amount of the energy purchasers by using the power generation information and the power consumption information stored in the data storage unit; and
A virtual netting system including a transaction management unit that provides information on the recommended power purchase amount to a power company to enable a power netting transaction between the power company and the energy purchasers, receives the netting information from the power company, and performs billing settlement between the solar power plants and the energy purchasers for the netted power amount. In claim 1, the power calculation unit
A virtual netting transaction system that predicts the current month's power generation and current month's electricity consumption using the power generation of the solar power plants and the electricity consumption of the energy purchasers of the previous month stored in the data storage unit, and calculates the first recommended electricity purchase amount using the predicted power generation and predicted electricity consumption. In claim 2, the power calculation unit
A virtual offset trading system in which the above energy purchasers calculate the amount of electricity that can lower the progressive level of the above predicted electricity consumption as the first recommended electricity purchase amount. In claim 3, the power calculation unit
A virtual netting system that matches the above energy buyers with solar power plants belonging to the same substation among the above solar power plants, and calculates the first recommended power purchase amount based on the predicted power generation amount and the predicted electricity consumption of the matched solar power plants and the energy buyers. In claim 4, the power calculation unit
A virtual netting transaction system that calculates the purchaseable power quantity by dividing the total predicted power generation of the above-mentioned matched solar power plants by the number of energy purchasers, and calculates the first recommended power purchase quantity within a range that does not exceed the purchaseable power quantity and the predicted electricity consumption. In claim 1, the power calculation unit
A virtual netting transaction system that calculates a second recommended power purchase amount by using the actual power generation amount of the solar power plants stored in the data storage unit for the current month and the actual electricity consumption amount of the purchasers who have applied to purchase electricity among the energy purchasers for the current month. In claim 6, the power calculation unit
A virtual offset transaction system that calculates the amount of electricity that can lower the progressive level of the actual electricity consumption of the above purchase applicants as the second recommended electricity purchase amount. In claim 7, the power calculation unit
A virtual netting system that matches the above purchase applicants with solar power plants belonging to the same substation among the above solar power plants, and calculates the second recommended power purchase amount based on the actual power generation and actual electricity consumption of the matched solar power plants and the purchase applicants. In claim 8, the power calculation unit
A virtual netting transaction system that calculates the purchasable power quantity by dividing the total actual power generation of the above-mentioned matched solar power plants by the number of applicants for purchase, and calculates the second recommended power purchase quantity within a range that does not exceed the purchasable power quantity and the actual electricity consumption. In a virtual netting transaction method of a virtual netting transaction system for power netting transactions between a power company that receives power from solar power plants and energy purchasers that consume power supplied from the power company,
A step in which the data collection unit of the above virtual commerce system collects the power generation of the above solar power plants and the electricity consumption of the above energy purchasers;
A step in which the power calculation unit of the virtual netting transaction system predicts the current month's power generation and current month's electricity consumption by using the previous month's power generation of the solar power plants and the previous month's electricity consumption of the energy purchasers;
The step of calculating the first recommended power purchase amount for the energy purchasers by using the predicted power generation amount for the current month and the predicted electricity consumption amount for the current month by the power calculation department; and
The step of calculating the second recommended power purchase amount of the purchase applicants by using the actual power generation amount of the solar power plants in the current month and the actual electricity consumption amount of the purchase applicants who have applied for an offset transaction among the energy purchasers in the current month;
A step in which the transaction management unit of the virtual netting transaction system provides information on the second recommended power purchase amount to the power company to enable a power netting transaction between the power company and the energy purchasers and receives the netting information from the power company; and
A virtual netting transaction method including a step in which the above transaction management unit performs billing settlement between the above solar power plants and the above energy purchasers for the amount of electricity subject to netting transaction. In claim 10, the second recommended purchase power amount is
A virtual offset transaction method that can lower the progressive level of electricity rates for the actual electricity consumption of the above purchase applicants in the current month. In claim 11, the step of calculating the second recommended purchase power amount is
Step of matching solar power plants belonging to the same substation with purchase applicants;
A step for calculating the amount of electricity that can be purchased by matched purchase applicants using the actual power generation of the matched solar power plant; and
A virtual offsetting transaction method including a step of calculating an amount of electricity that can be lowered to a progressive level within a range that does not exceed the above purchasable amount of electricity and the actual electricity consumption of the purchase applicant. In claim 12,
The step of the above transaction management department receiving input of the desired purchase amount of electricity from the purchase applicants; and
A virtual offset transaction method further comprising a step of the power calculation unit checking whether the desired power purchase amount exceeds the purchasable power amount and the actual electricity consumption of the purchase applicant.