KR102672397B1 - System and method for agencying power trading system and method - Google Patents

Abstract

This technology discloses a power trading brokerage system and method. According to a specific implementation example of this technology, the sales price and sales volume are calculated in consideration of the consumer's response, and a network-based brokerage server is established to calculate the purchase amount in response to the consumer's electricity transaction price, thereby establishing P2P (Peer To) Peer) transactions can maximize prosumers' profit generation, and as P2P power transaction time increases through prosumers' energy storage scheduling and load adjustment, distribution line congestion can be alleviated, and the amount of power received from the grid is reduced. As power leaking out of the common connection point between the grid and the prosumer and the amount of power transmitted back are eliminated, voltage stability is improved and grid operation and power management can be performed stably.

Description

Power trading brokerage system and method {SYSTEM AND METHOD FOR AGENCYING POWER TRADING SYSTEM AND METHOD}

The present invention relates to a power transaction brokerage system and method. More specifically, in constructing a network-based brokerage server between multiple prosumers and multiple consumers, the sales price and sales volume are calculated by considering the response of the consumer from the prosumer's perspective. And, from the consumer's perspective, it is about a technology that allows the purchase quantity to be calculated in response to the prosumer's sales price decision.

Recently, as small-scale distributed power sources using solar power generation have increased, the term prosumer, a compound word of consumer and producer, has emerged, meaning a consumer who participates in production, and the entity that only consumes electricity has emerged. Through distributed power generation, the entity is transformed into an entity that sells surplus power remaining after self-consumption.

Initially, energy prosumers self-consume the electricity produced by customers who installed residential solar power and then offset the accumulated surplus power by producing electricity from small-scale distributed power sources through rate offset or the KEPCO Power Purchase Agreement (PPA) system. Electricity can be sold on the market.

However, when participating in the market through PPA, there are administrative costs related to information search and contracting, and the profit is reached a low limit as the front page is settled using the weighted average System Marginal Price (SMP).

However, as SMP prices have also continued to decline, prosumers' profits are still low when settling cash for accumulated surplus power.

Accordingly, the present applicant would like to propose a method of building a network-based brokerage server that calculates the sales price and sales volume in consideration of the consumer's response and calculates the purchase amount in response to the consumer's electricity transaction price.

Accordingly, this specification was derived through research funding support for the energy hub university cluster project project launched by Korea Electric Power Corporation in 2018 (task number: R18XA01).

The present invention calculates the sales price and sales volume in consideration of the consumer's response, and establishes a network-based brokerage server that calculates the purchase amount in response to the consumer's electricity transaction price, thereby enabling prosumers through P2P (Peer To Peer) transactions. We aim to provide a power trading brokerage system and method that can achieve profit generation.

The present invention seeks to provide a power trading brokerage system and method that enables efficient power operation, such as reducing peak demand and reducing power loss, as the voltage stability of the distribution system is improved.

The object of the present invention is not limited to the object mentioned above, and other objects and advantages of the present invention that are not mentioned can be understood from the following description and will be more clearly understood by the examples of the present invention. Additionally, it will be readily apparent that the objects and advantages of the present invention can be realized by means and combinations thereof as set forth in the claims.

The power trading brokerage system according to an embodiment of the present invention is

It includes an intermediary server that performs network-based power transactions between a number of prosumers who present sales prices and sales volumes and a number of consumers who calculate purchase amounts that maximize the efficiency of load power,

The mediation server is,

Derive the sales price and sales volume for each of the multiple prosumers, derive the purchase volume for each of the multiple consumers, and based on the derived sales price and sales volume for each prosumer and the purchase volume for each consumer, the game theory of P2P (Peer to Peer) One feature is that it is equipped to perform power trading through.

Preferably, the mediation server,

A sales price calculation unit that derives the sales price at an arbitrary point in time for each prosumer; A sales volume calculation unit that derives the sales volume of each prosumer at an arbitrary point in time; A purchase quantity derivation unit that derives the purchase quantity of each consumer; Based on the derived sales price and sales volume of each prosumer and the purchase volume of each consumer, the transaction participation rate of each prosumer is derived. Based on the derived transaction participation rate of each prosumer, the allocated sales volume of each prosumer is derived. The derived allocated sales volume is used to determine the prosumer's transaction participation rate. a sales price adjustment department that recalculates the sales price; And when the recalculated sales price converges to a predetermined equilibrium solution, it may include a power trading unit that calculates the adjusted sales price as the final sales price and performs power trading.

Preferably, the sales price calculation unit is,

One feature is that it is equipped to derive a sales price based on the purchase price from the system at an arbitrary time, the sales price to the system, a predetermined price update coefficient, the required demand of consumers, and the surplus power generation amount of each prosumer.

Preferably, the sales volume calculation unit is,

The load consumption preference, load consumption, and load adjustment amount of each consumer, the purchase amount from the prosumer's system, and the sales volume to the prosumer's system,

Prosumer's power generation of distributed power, charging amount of distributed power, total power generation, generation charge, discharge efficiency of distributed power, charging efficiency of distributed power, rated capacity of distributed power, final charge of distributed power, initial estimate of distributed power, distributed power It may be equipped to derive the sales volume based on at least one of a charging state variable, a discharge state variable of distributed power, a system purchase state variable, and a system sales state variable.

Preferably, the purchase amount derivation unit,

It may be equipped to derive the purchase amount based on the predetermined consumer's load consumption preference coefficient, load consumption, load adjustment amount, purchase amount from the system, purchase amount from the prosumer, prosumer's transaction participation rate, and load adjustment aversion coefficient.

Preferably, the sales price adjustment unit,

A transaction participation rate derivation module that derives the transaction participation rate of each prosumer based on each prosumer's previous transaction participation rate, sales volume, and sales price;

an allocated sales volume derivation module that derives the allocated sales volume of each prosumer based on the derived transaction participation rate of each prosumer and the total purchase volume of consumers; and

It may include a sales price recalculation module that recalculates the sales price of the prosumer based on the output allocated sales volume of each prosumer.

Preferably, the mediation server calculates the power change for each reference voltage pu (per unit) before and after the power transaction of the common connection point (PCC) between the utility that produces power and delivers it to the prosumer and the power change difference before and after the power transaction. A distribution system usage fee calculation unit that derives the distribution system usage fee based on may be further included.

The power trading brokerage method according to another embodiment of the present invention,

Power generation through P2P game theory using program routines and input variables set by computing means based on a network between multiple prosumers who present sales prices and sales volumes and multiple consumers who calculate purchase quantities that maximize the efficiency of load power. In the power transaction brokerage method for performing transactions,

A selling price calculation step of deriving a selling price for each of a plurality of prosumers based on the purchase price from the grid at a predetermined time, the selling price to the grid, the price update coefficient, the consumer's required demand, and the prosumer's surplus power generation;

For each of the plurality of consumers, load consumption preference, load consumption and load adjustment amount, purchase volume from each prosumer's grid and sales volume to the prosumer's grid, power generation amount from the distributed power source of each prosumer, charging amount from the distributed power source, and total power generation amount. , generated charge amount, discharge efficiency of distributed power source, charging efficiency of distributed power source, rated capacity of distributed power source, final charge amount of distributed power source, initial estimated amount of distributed power source, charging state variable of distributed power source, discharge state variable of distributed power source, grid purchase A sales volume calculation step of deriving sales volume based on at least one of a state variable and a system sales state variable;

A purchase quantity derivation step in which the purchase quantity is derived based on the load consumption preference coefficient, load consumption, and load adjustment amount of each consumer, the purchase amount from the system and the purchase amount from the prosumer, the prosumer's transaction participation rate, and the load adjustment aversion coefficient; and

Based on the sales amount and sales volume of each prosumer and the purchase volume of each consumer, the transaction participation rate of each prosumer is derived. Based on the transaction participation rate of each prosumer, the allocated sales volume of each prosumer is derived from the total purchase volume of each consumer. A selling price adjustment step may be included in which the selling price is recalculated based on the allocated sales volume.

Preferably, the selling price adjustment step is,

Deriving the transaction participation rate of each prosumer based on the previous transaction participation rate, sales volume, and sales price of each prosumer;

Deriving an allocated sales volume for each prosumer based on the derived transaction participation rate and the total purchase volume of the consumer;

recalculating the sales price of the prosumer based on the allocated sales volume; and

If the recalculated sales price is reached in a predetermined equilibrium year, it may include performing a power transaction at the final sales price.

According to the present invention, by establishing a network-based brokerage server that calculates the sales price and sales volume in consideration of the consumer's response and calculates the purchase amount in response to the consumer's electricity transaction price, through P2P (Peer To Peer) transactions. Prosumer profit creation can be maximized.

In addition, according to the present invention, as the P2P power transaction time increases through prosumer energy storage scheduling and load adjustment, distribution line congestion can be alleviated, the amount of power received from the grid is reduced, and the amount of power leaked from the common connection point between the grid and the prosumer is reduced. As power and back-transmitted power generation are eliminated, voltage stability is improved and system operation and power management can be performed stably.

On the other hand, the present invention has the advantage of reducing the usage fee of the distribution system related to electricity quality, which is calculated through voltage and reverse current analysis results for hourly load use, solar power generation, operation of energy storage devices, etc.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and serve to further understand the technical idea of the present invention together with the detailed description of the invention described later. Therefore, the present invention includes the matters described in such drawings. It should not be interpreted as limited to only .
1 is a configuration diagram of a power trading system to which an embodiment is applied.
Figure 2 is a detailed configuration diagram of the mediation server of the system of one embodiment.
Figure 3 is a detailed configuration diagram of the transaction participation rate calculation unit of the brokerage server in one embodiment.
Figure 4 is an example diagram showing a sales price calculated according to an embodiment.
Figure 5 is an example diagram showing the amount of electricity traded according to an embodiment.
Figure 6 is an exemplary diagram showing prosumer profits according to an embodiment.
Figure 7 is an example diagram showing the voltage of a common connection point (PCC) according to an embodiment.
Figure 8 is an exemplary diagram showing the voltage for each bus according to an embodiment.
Figure 9 is an overall flowchart showing the power trading brokerage process in another embodiment.

In one embodiment, a brokerage server that performs power transactions between multiple prosumers (sellers) and multiple consumers (consumers) is built on a network basis to maximize profits for each prosumer in terms of the sales price and sales volume of each prosumer. Calculate .

Each of the multiple consumers sharing a network-based brokerage server responds to the prosumer's price decision by determining the purchase quantity using a closed formula.

From the consumer's perspective, it is necessary to analyze the economic benefits of price competition for prosumers by considering the prosumer's response to the price decision. Accordingly, the mediation server uses a structural decision-making structure as a multi-leader-multi-follower Stackelberg game. This can be achieved by designing, which allows the behavioral characteristics of both prosumers and consumers based on the capabilities of these intermediary servers to converge to a unique equilibrium solution, maximizing the benefits of all participating prosumers and consumers. The series of processes by which a unique equilibrium solution is established in Stackelberg game theory is a well-known technique, so detailed explanations will be omitted. Below, closed-form formulas in one embodiment are provided for strategies corresponding to prosumers and consumers.

FIG. 1 is a configuration diagram of a power trading brokerage system applied to an embodiment, FIG. 2 is a detailed configuration diagram of the brokerage server shown in FIG. 1, and FIG. 3 is a detailed configuration diagram of the transaction participation rate calculation unit shown in FIG. 2. 1 to 3, the power trading brokerage system of one embodiment determines the sales volume and sales amount of each prosumer (P1 to PN), determines the purchase amount of consumers (C1 to CM) and the transaction participation rate of the prosumer, , the allocated sales volume of each prosumer is determined based on the transaction participation rate, the sales amount is recalculated based on the comparison result between the determined prosumer's allocated sales volume and surplus power generation, and when the recalculated sales amount converges to a unique equilibrium solution, the recalculated final It is configured to conduct electricity trading based on the sales price, and includes at least a sales price calculation unit (100), a sales volume calculation unit (200), a purchase quantity derivation unit (300), a sales price adjustment unit (400), and a power trading unit (500). It can contain one.

The sales price calculation unit 100 is the purchase price from the system at a predetermined time t. , selling price to the system , predetermined price update coefficient , Consumer demand and surplus power generation from prosumers. The selling price for prosumer j based on Derive and the derived sales price of prosumer j satisfies the following equation 1:

[Equation 1]

Here, the selling price to the system is set as a real-time price (RTP) that reflects the grid situation.

and the purchase price from the grid. is the market price ($/KWh) for the amount of electricity applied per transaction time, and is determined by applying the System Marginal Price (SMP), which is the wholesale price of electricity. For example, the purchase price from the grid is determined as the highest price among the effective power generation prices of each generator using the power generation cost of the central dispatch generator, the bid of the demand management business, the bid or power generation plan of the generator and electric storage device, and the demand forecast of the power system.

Referring to Equation 1, when the demand from buyers is greater than the surplus power generation of prosumers, the selling price When this is relatively high and, conversely, the surplus power exceeds the required demand, the selling price This gets lower.

And, the derived selling price of prosumer j is transmitted to the sales volume calculation unit 200.

The sales volume calculation unit 200 performs scheduling to maximize utility by comprehensively considering surplus power generation, load consumption, required demand, grid transaction price at the relevant time, and proposed transaction price, and then performs scheduling according to a predetermined schedule. Derive sales volume by time unit. Here, since the series of scheduling processes to maximize utility is a well-known technology, detailed description thereof will be omitted.

Here, sales volume The objective function for determining can be expressed as Equation 2 below, and the constraints are defined as Equation 3 below.

[Equation 2]

[Equation 3]

The calculated sales price and sales volume are transmitted to the purchase quantity derivation unit 300, and the purchase quantity derivation unit 300 determines the prosumer's purchase quantity according to the price and sales volume suggested by the prosumer. Here, unlike prosumers, it is assumed that consumers do not own distributed power sources such as solar power generation devices and ESS, and assuming that they purchase electricity through P2P transactions and from the grid, the purchase volume of consumer i is The objective function and constraints for calculating can be expressed in Equation 4 below.

[Equation 4]

And the sales price and sales volume of the prosumer and the purchase volume of the consumer are transmitted to the sales price adjustment unit 400. Here, transaction participation rate is defined as the required demand allocated to each individual prosumer out of the total purchase volume of all consumers. The allocated sales volume based on the derived transaction participation rate affects the selling price of the relevant prosumer.

The sales price adjustment unit 400 determines the transaction participation rate for the corresponding prosumer j at a predetermined time t. It is configured to derive the allocated sales volume of prosumer j based on the derived transaction participation rate, and recalculate the selling price of prosumer j using the derived allocated sales volume. Accordingly, the selling price adjustment unit 400 is configured as shown in FIG. 3. Likewise, it may include a transaction participation rate derivation module 410, an allocated sales volume derivation module 420, and a sales price recalculation module 430.

Here, the transaction participation rate derivation module 410 determines the transaction participation rate for the corresponding prosumer j at a predetermined time t. Derive and derived transaction participation rate can be expressed in the following equation 5.

[Equation 5]

Here, the transaction participation rate calculated from the previous power transaction before the predetermined unit time based on the predetermined time t and, update coefficient Wow, the purchase volume of consumer i and, sales volume of prosumer j am.

The transaction participation rate of this prosumer j is transmitted to the allocated sales volume derivation module 420, and the allocated sales volume derivation module 420 calculates the transaction participation rate of the corresponding prosumer j. and the total purchase volume of consumers. Determine the allocated sales volume of the corresponding prosumer j.

Then, the allocated sales volume of prosumer j is transmitted to the sales price recalculation module 430.

The selling price recalculation module 430 recalculates the selling price of prosumer j based on the allocated sales volume of prosumer j, and the recalculated selling price of prosumer j is the same as described above in the selling price calculation unit 100. Since it is similar, detailed description thereof will be omitted.

In addition, the sales price of prosumer j adjusted by the sales price recalculation module 430 is transmitted to the power trading department 500, and the power trading department 500 determines the selling price of prosumer j as Stackelberg. When convergence is reached to a unique equilibrium solution determined according to game theory, the recalculated selling price of prosumer j is set as the final selling price of prosumer j. In other words, the final selling price is derived by finding a converging equilibrium solution (Stackelberg equilibrium point) using an iterative policy based on a prediction model designed through game theory. Since the power transaction between the consumer and the prosumer j is made at the final selling price of the prosumer j, the problem of setting and distributing the selling price for multiple prosumers is solved by applying the Stackelberg game.

Meanwhile, during P2P power trading between prosumers and consumers, the profits of the utility that produces grid power and delivers it to at least one of multiple prosumers and multiple consumers may be lower, but P2P power trading between prosumers and consumers may reduce grid power distribution. Since it is done through system equipment, prosumers must pay a certain grid distribution usage fee to the utility.

Accordingly, the power transaction brokerage system of one embodiment may further include a distribution system usage fee calculation unit 600 that calculates the system distribution usage fee.

The distribution system usage fee calculation unit 600 calculates the distribution system usage fee based on the power change for each reference voltage pu (per unit) before and after power trading and the difference in power fluctuation before and after power trading. Derives the distribution system usage fee is calculated using tidal current analysis techniques. Accordingly, the distribution system usage fee can be derived from the following equation 6.

[Equation 6]

The degree of contribution to voltage stability is determined by the distribution system usage fee derived from the voltage fluctuation of this motion. Accordingly, the grid distribution fee that prosumers must pay, which affects voltage stability based on the amount of motion voltage fluctuation, is lowered.

Therefore, in one embodiment, the sales price and sales volume are calculated in consideration of the consumer's response (transaction participation rate), and a network-based brokerage server is built to calculate the purchase volume in response to the consumer's sales price, thereby creating P2P (Peer To Peer) Prosumer profit creation can be maximized through transactions.

In other words, the prosumer can increase or decrease the sales volume by adjusting the load according to the utility coefficient for his/her load consumption, so the prosumer's sales price for the net load and distributed power specifications shown in Table 1 below is shown in Figure 4. It's the same as what happened. In other words, referring to Figure 4, the sales price is similar to the existing grid purchase price (RTP) because the purchase volume is greater than the sales volume during times when there is no power generation, and from 8 a.m. to 19 p.m. when there is surplus power generation, the grid purchase price ( It can be seen that it is lower than the RTP), so prosumers must implement a strategy to increase sales volume.

[Table 1]

Also, referring to Figure 4, it can be seen that the prosumer with the largest surplus power generation offers a lower selling price than other prosumers.

And, referring to Figure 5, it can be confirmed that by adjusting the load usage of the prosumer, the sales volume exists at a time when there is no surplus power generation.

Accordingly, as shown in Figure 6, it can be seen that the profit of the prosumer is the highest for the prosumer with the largest amount of surplus power generation, and by adjusting the load usage of the prosumer according to the sales amount, the profit from electricity trading increases through the surplus power generation.

Meanwhile, when trading between a utility and a prosumer (P1 to PN) for P2P power trading, power transmitted back to the utility may occur during the morning hours when load usage is low and power generation is concentrated. For example, as distributed power sources such as solar power generation connected to the voltage distribution system increase, the possibility of reverse current generation occurring during power generation increases.

Accordingly, in one embodiment, the reverse transmission power of the prosumer can be derived by measuring the total power flowing into the substation of the system by an 18 bus radial distribution system installed at the point of common coupling (PCC) between the system and the prosumer. .

Prosumers can participate in transactions even in the early morning or evening when there is no power generation through distributed power scheduling and power generation control, and as transaction hours increase, distribution line congestion can be alleviated. Referring to Figure 7, it can be seen that the power leaking from the PCC of the distribution system to which the prosumer belongs is removed.

In addition, referring to FIG. 8, it can be seen that as the distributed power supply is charged during times of high power generation, the voltage for each bus is maintained within the maintenance standard of 0.95 pu to 1.05 pu, and thus the amount of power received from the system is reduced. By eliminating the reversely transmitted power generation, the voltage stability of the system is improved, and system operation and power management can be performed stably.

Figure 9 is an overall flowchart showing the operation of the mediation server shown in Figure 2, and with reference to Figure 9, the power transaction mediation process according to another embodiment of the present invention is explained.

Here, another embodiment presents a power trading brokerage process, which is implemented as software including processing routines and input variables set by computing means based on a network between a plurality of prosumers and consumers, and each function of the software is implemented through the network. By being performed on a computer, each of the above functions becomes a component and constitutes a mediation server.

The present invention derives the sales price and sales volume from the prosumer's perspective, derives the purchase volume from the consumer's perspective, derives the transaction participation rate based on the derived sales price, sales volume, and purchase volume, and then allocates prosumers based on the derived transaction participation rate. The sales volume is derived, the prosumer's selling price is adjusted based on the derived prosumer's allocated sales volume, and then the transaction is performed at the adjusted final selling price.

That is, through the sales price calculation step (S11), the sales price calculation unit 100 of one embodiment calculates the purchase price from the system at a predetermined time, the sales price to the system, the price update coefficient, and the consumer for each of the plurality of prosumers. The sales price is derived based on the required demand and the prosumer's surplus power generation. The derived sales price is transmitted to the sales volume calculation unit 200.

And, in the sales volume calculation step (S12), the sales volume calculation unit 200 of one embodiment determines the load consumption preference, load consumption amount, and load adjustment amount for each of the plurality of consumers, the purchase amount from each prosumer's system, and the prosumer's system. sales volume of each prosumer, the power generation amount of the distributed power source, the charging amount of the distributed power source, the total power generation amount, the generated charging amount, the discharge efficiency of the distributed power source, the charging efficiency of the distributed power source, the rated capacity of the distributed power source, the final charge amount of the distributed power source, and the distributed power supply amount. The sales volume is derived based on at least one of the initial estimate, the charging state variable of the distributed power source, the discharging state variable of the distributed power source, the system purchase state variable, and the system sales state variable.

The derived sales volume and sales price are transmitted to the purchase volume derivation unit 300.

In the purchase amount derivation step (S13), the purchase amount derivation unit 300 of one embodiment determines the load consumption preference coefficient, load consumption amount, and load adjustment amount of each consumer, the purchase amount from the system and the purchase amount from the prosumer, the prosumer's transaction participation rate, and the load. Purchase volume is derived based on the adjusted aversion coefficient.

And the purchase volume from the consumer's perspective and the sales price and sales volume from the prosumer's perspective are transmitted to the sales price adjustment unit 400.

The sales price adjustment unit 400 of one embodiment derives the transaction participation rate of each prosumer based on steps S14 to S17 and determines the allocated sales volume of each prosumer out of the total purchase amount of consumers based on the derived transaction participation rate of each prosumer. The sales price is recalculated based on the allocated sales volume of each prosumer, and then the sales price recalculation is repeated to derive the converging final sales price.

Then, the transaction coordination unit 500 performs a power transaction between the prosumer and the consumer at the final sales price in step S18.

Meanwhile, the distribution system usage fee calculation unit 600 calculates the standard voltage pu (per unit) before and after the power transaction at the common connection point (PCC) between the utility that produces power and delivers it to the prosumer through step S18. The distribution system usage fee is derived based on the power fluctuation and the difference in power fluctuation before and after power trading. The derived distribution system usage fee is paid by the prosumer to the utility.

Accordingly, one embodiment calculates the sales price and sales volume in consideration of the consumer's response, and establishes a network-based brokerage server that calculates the purchase amount in response to the consumer's power transaction price through P2P (Peer To Peer) transactions. Prosumer profit creation can be maximized.

In addition, in one embodiment, as the P2P power transaction time increases through the prosumer's energy storage scheduling and load adjustment, distribution line congestion can be alleviated, the amount of power received from the grid is reduced, and the power leaked from the common connection point between the grid and the prosumer is reduced. As excessive reverse-transmitted power generation is eliminated, voltage stability is improved and system operation and power management can be performed stably.

100: Sales price calculation unit
200: Sales volume calculation unit
300: Purchase amount derivation section
400: Sales price adjustment department
500: Power trading department
600: Distribution system usage fee calculation unit

Claims (10)

It includes an intermediary server that performs network-based power transactions between a number of prosumers who present sales prices and sales volumes and a number of consumers who calculate purchase amounts that maximize the efficiency of load power,
The mediation server is,
Derive the sales price and sales volume for each of the multiple prosumers, derive the purchase volume for each of the multiple consumers, and create a P2P (Peer to Peer) game based on the derived sales price and sales volume of each prosumer and the purchase volume of each consumer. Perform power trading through theory,
The mediation server further derives the distribution system usage fee from the busbar voltage stability, which determines the system distribution usage fee to be paid by the prosumer using a tide analysis technique. The distribution system usage fee is calculated based on each reference voltage pu (per unit) before and after the power transaction. It is equipped to derive the power change and the difference in power change before and after power trading,
The mediation server is,
Based on the derived sales price and sales volume of each prosumer and the purchase volume of each consumer, the transaction participation rate of each prosumer is derived. Based on the derived transaction participation rate of each prosumer, the allocated sales volume of each prosumer is derived. The derived allocated sales volume is used to determine the prosumer's transaction participation rate. It further includes a sales price adjustment unit that recalculates the sales price,
The transaction participation rate is the required demand allocated to each individual prosumer out of the total purchase amount of all consumers, and is the transaction participation rate calculated from the previous electricity transaction before a predetermined unit time based on a predetermined time t. Derived from the update coefficient, purchase volume of consumer i, and sales volume of prosumer j,
A power transaction intermediary system characterized in that the allocated sales volume is derived from the transaction participation rate of the corresponding prosumer j and the total purchase volume of the consumers.
The method of claim 1, wherein the mediation server:
A sales price calculation unit that derives the sales price at an arbitrary point in time for each prosumer;
A sales volume calculation unit that derives the sales volume of each prosumer at an arbitrary point in time;
A purchase quantity derivation unit that derives the purchase quantity of each consumer;
Based on the derived sales price and sales volume of each prosumer and the purchase volume of each consumer, the transaction participation rate of each prosumer is derived. Based on the derived transaction participation rate of each prosumer, the allocated sales volume of each prosumer is derived. The derived allocated sales volume is used to derive the transaction participation rate of each prosumer. a sales price adjustment department that recalculates the sales price; and
A power trading brokerage system comprising a power trading unit that performs power trading by calculating the adjusted selling price as the final selling price when the recalculated selling price converges to a predetermined equilibrium solution. The method of claim 2, wherein the sales price calculation unit is,
A power trading brokerage system characterized in that it is equipped to derive a selling price based on the purchase price from the grid at an arbitrary time, the selling price to the grid, a predetermined price update coefficient, the required demand of consumers, and the surplus power generation of each prosumer. . The method of claim 3, wherein the sales volume calculation unit,
The load consumption preference, load consumption, and load adjustment amount of each consumer, the purchase amount from the prosumer's system, and the sales volume to the prosumer's system,
Prosumer's power generation of distributed power, charging amount of distributed power, total power generation, generation charge, discharge efficiency of distributed power, charging efficiency of distributed power, rated capacity of distributed power, final charge of distributed power, initial estimate of distributed power, distributed power A power trading brokerage system characterized in that it is provided to derive sales volume based on at least one of a charging state variable, a discharge state variable of distributed power, a grid purchase state variable, and a grid sales state variable. The method of claim 4, wherein the purchase amount derivation unit,
Characterized in that it is equipped to derive the purchase amount based on the predetermined consumer's load consumption preference coefficient, load consumption, load adjustment amount, purchase amount from the system, purchase amount from prosumers, prosumer's transaction participation rate, and load adjustment aversion coefficient. Power trading brokerage system. The method of claim 5, wherein the sales price adjustment unit,
A transaction participation rate derivation module that derives the transaction participation rate of each prosumer based on each prosumer's previous transaction participation rate, sales volume, and sales price;
an allocated sales volume derivation module that derives the allocated sales volume of each prosumer based on the derived transaction participation rate of each prosumer and the total purchase volume of consumers; and
A power transaction brokerage system comprising a sales price recalculation module that recalculates the sales price of the prosumer based on the output allocated sales volume of each prosumer. The method of claim 1, wherein the mediation server:
Derive the distribution system usage fee based on the power fluctuation for each reference voltage pu (per unit) before and after power trading at the common connection point (PCC) between the utility that produces and delivers power to the prosumer and the prosumer, and the difference in power fluctuation before and after the power transaction. A power transaction brokerage system further comprising a distribution system usage fee calculation unit. Power generation through P2P game theory using program routines and input variables set by computing means based on a network between multiple prosumers who present sales prices and sales volumes and multiple consumers who calculate purchase quantities that maximize the efficiency of load power. In the power transaction brokerage method for performing transactions,
A selling price calculation step of deriving a selling price for each of a plurality of prosumers based on the purchase price from the grid at a predetermined time, the selling price to the grid, the price update coefficient, the consumer's required demand, and the prosumer's surplus power generation;
For each of the plurality of consumers, load consumption preference, load consumption and load adjustment amount, purchase volume from each prosumer's grid and sales volume to the prosumer's grid, power generation amount from the distributed power source of each prosumer, charging amount from the distributed power source, and total power generation amount. , generated charge amount, discharge efficiency of distributed power source, charging efficiency of distributed power source, rated capacity of distributed power source, final charge amount of distributed power source, initial estimated amount of distributed power source, charging state variable of distributed power source, discharge state variable of distributed power source, grid purchase A sales volume calculation step of deriving sales volume based on at least one of a state variable and a system sales state variable;
A purchase quantity derivation step in which the purchase quantity is derived based on the load consumption preference coefficient, load consumption, and load adjustment amount of each consumer, the purchase amount from the system and the purchase amount from the prosumer, the prosumer's transaction participation rate, and the load adjustment aversion coefficient; and
Based on the sales amount and sales volume of each prosumer and the purchase volume of each consumer, the transaction participation rate of each prosumer is derived. Based on the transaction participation rate of each prosumer, the allocated sales volume of each prosumer is derived from the total purchase volume of each consumer. It includes a selling price adjustment step of recalculating the selling price based on the allocated sales volume,
It further includes the step of deriving the distribution system usage fee from the busbar voltage stability, which determines the system distribution usage fee to be paid by the prosumer using a tide analysis technique,
The distribution system usage fee is designed to be derived from the power change for each reference voltage pu (per unit) before and after power trading and the difference in power change before and after power trading.
The transaction participation rate is the required demand allocated to each individual prosumer out of the total purchase amount of all consumers, and is the transaction participation rate calculated from the previous electricity transaction before a predetermined unit time based on a predetermined time t. Derived from the update coefficient, purchase volume of consumer i, and sales volume of prosumer j,
A power transaction brokerage method, characterized in that the allocated sales volume is derived from the transaction participation rate of the prosumer j and the total purchase volume of the consumer. The method of claim 8, wherein the sales price adjustment step is,
Deriving the transaction participation rate of each prosumer based on the previous transaction participation rate, sales volume, and sales price of each prosumer;
Deriving an allocated sales volume for each prosumer based on the derived transaction participation rate and the total purchase volume of the consumer;
recalculating the sales price of the prosumer based on the allocated sales volume; and
A power transaction brokerage method comprising the step of performing a power transaction at the final sale price when the recalculated sales price is reached in a predetermined balance year. A computer-readable recording medium on which a program for executing the power trading brokerage method of paragraph 8 or 9 is recorded.