Power trading arithmetic device, method, and program

Abstract

To provide a power transaction calculating apparatus, a power transaction calculating method, and a power transaction calculating program which can calculate contents of power transaction with considering both demand and supply.SOLUTION: A power transaction calculating apparatus D for calculating a plurality of procurement power amounts corresponding to a plurality of procurement sources in a power retailer selling power procured from the plurality of procurement sources to a plurality of power consumers and a power selling unit price upon selling power to the plurality of power consumers. The plurality of procurement power amounts and the power selling unit price are calculated so as to maximize an objective function using, as an explanatory variable, a retailer side profit amount that is a profit amount of the power retailer and is expressed as a function of a first variable including the plurality of procurement power amounts and th power selling unit price and a consumer side gross profit amount that is a total amount of profit amounts of the plurality of power consumers and is expressed as a function of a second variable including the power selling unit price.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a power trading calculation device, a power trading calculation method, and a power trading calculation program for obtaining the content of power trading.

Background Art

[0002] With the liberalization of the electricity retail market, companies in various industries have entered, and a wholesale electricity market where electricity is traded between the power generation sector and the retail sector, and a retail electricity market where electricity is traded between the retail sector and consumers have been formed, and electricity is being traded. In this electricity trading, a system for determining the optimal trading volume is disclosed, for example, in Patent Document 1. The optimal trading volume determination system disclosed in this Patent Document 1 is a system for determining the optimal trading volume in electricity trading, and includes a first storage unit that stores power generation cost calculation information for calculating the power generation cost associated with power generation by a power generation means according to the power generation amount, a second storage unit that stores trading amount calculation information for calculating a trading amount according to the trading volume by the electricity trading, and based on the power generation cost calculation information and the trading amount calculation information, a reduction amount that is the difference between the power generation cost according to the predicted value of the electricity demand and the power generation cost according to the amount of electricity obtained by subtracting the optimal trading volume from the predicted value of the electricity demand is calculated, and a profit amount calculation unit that calculates a profit amount that is the difference between the reduction amount and the expenditure amount that is the trading amount according to the optimal trading volume, and an optimal trading volume determination unit that determines the optimal trading volume related to the buy transaction so that the profit amount is maximized.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Incidentally, the optimal trading volume determination system disclosed in Patent Document 1 maximizes the profit on the power generation side. Although power consumers also participate in the market, Patent Document 1 does not consider power consumers.

[0005] The present invention has been made in view of the above circumstances, and an object thereof is to provide a power trading calculation device, a power trading calculation method, and a power trading calculation program capable of obtaining the content of power trading in consideration of supply and demand (both demand and supply).

Means for Solving the Problems

[0006] As a result of various studies, the present inventor has found that the above object can be achieved by the following present invention. That is, a power trading calculation device according to an aspect of the present invention is a power trading calculation device that obtains a plurality of procurement power amounts corresponding to a plurality of procurement sources and a selling electricity unit price when selling to a plurality of power consumers in a power retailer that sells power procured from a plurality of procurement sources. The retail-side profit amount, which is the profit amount of the power retailer, represented as a function of a first variable including the plurality of procurement power amounts and the selling electricity unit price, and the total profit amount of each of the plurality of power consumers, represented as a function of a second variable including the selling electricity unit price, are explanatory variables. The plurality of procurement power amounts and the selling electricity unit price are obtained so that the objective function is maximized. Preferably, the power trading calculation device is a function of a first variable including a plurality of procurement power amounts corresponding to a plurality of procurement sources and a selling electricity unit price when selling to a plurality of power consumers. The retail-side profit amount, which is the profit amount of the power retailer that sells the power procured from the plurality of procurement sources, and the total profit amount of each of the plurality of power consumers, represented as a function of a second variable including the selling electricity unit price, are explanatory variables. The plurality of procurement power amounts and the selling electricity unit price are obtained so that the objective function is maximized. Preferably, in the above power trading calculation device, the plurality of procurement power amounts and the selling electricity unit price are obtained under a predetermined constraint condition set for at least one of the plurality of procurement power amounts and the selling electricity unit price.

[0007] Such an energy trading calculation device calculates each amount of electricity procured and the electricity selling price so as to maximize an objective function with the retailer's profit amount and the demand-side total profit amount as explanatory variables, and therefore can determine the content of energy trading taking into account both the supply and demand of the energy retailer and the energy demander.

[0008] In another aspect, in the above-described energy trading calculation device, the objective function is expressed by an equation obtained by multiplying the retailer profit amount by the demand-side total profit amount.

[0009] Such an energy trading calculation device can determine the amount of energy procured and the electricity selling price that maximizes the objective function by differential calculation of the objective function.

[0010] In another aspect, in the above-mentioned energy trading calculation device, the retailer's profit amount is expressed by a formula obtained by subtracting from the electricity selling price the average procurement price at the multiple suppliers, the electricity transmission price for electricity transmission, and the electricity retailer's unit expense, and multiplying the result of the subtraction by the total amount of energy procured, and the average procurement price is expressed by a formula obtained by multiplying each of the multiple amounts of energy procured by the procurement price of each of the multiple suppliers, and then dividing the sum of the results by the total amount of energy procured. Preferably, in the above-mentioned energy trading calculation device, the expenses include operating expenses (such as labor costs and administrative costs) incurred by the electricity retailer in running its business and a renewable energy surcharge.

[0011] This makes it possible to provide an energy trading calculation device that includes the calculation formula of one specific example.

[0012] In another aspect, in the above-mentioned energy trading calculation device, the demand-side total profit amount is expressed by a formula obtained by multiplying the difference between the current electricity selling price and the electricity selling price calculated by maximizing the objective function by the electricity demand forecast amount of electricity of the electricity demander, and summing up the results of the multiplication for each of the plurality of electricity demanders, and the sum of the forecast amount of electricity demand of each of the plurality of electricity demanders is equal to the sum of the plurality of procurement amounts of electricity.

[0013] According to this, a power trading arithmetic device having an arithmetic formula of a specific example can be provided.

[0014] In another aspect, in the above-described power trading arithmetic device, the predicted power consumption amount of the power consumer is obtained from a plurality of demand prediction information representing the correspondence between temperature and power consumption amount, which is created in advance for each of a plurality of temperature ranges. The demand prediction information corresponding to the predicted temperature at the time of predicting the predicted power consumption amount is used, so that the power consumption amount corresponding to the predicted temperature is obtained.

[0015] Such a power trading arithmetic device uses a plurality of demand prediction information created in advance for each of a plurality of temperature ranges, so that the predicted power consumption amount can be appropriately obtained for each season.

[0016] A power trading arithmetic method according to another aspect of the present invention is a power trading arithmetic method executed by a computer for obtaining a plurality of procurement power amounts corresponding to the plurality of procurement sources and a selling electricity unit price when selling to the plurality of power consumers in a power retailer that sells power procured from a plurality of procurement sources to the plurality of power consumers. The method includes obtaining the plurality of procurement power amounts and the selling electricity unit price such that an objective function having, as explanatory variables, a retail-side profit amount that is the profit amount of the power retailer represented as a function of a first variable including the plurality of procurement power amounts and the selling electricity unit price, and a demand-side total profit amount that is the total amount of the profit amounts of the plurality of power consumers represented as a function of a second variable including the selling electricity unit price, is maximized.

[0017] A power trading calculation program according to another aspect of the present invention is a power trading calculation program for obtaining a plurality of procurement power amounts corresponding to the plurality of procurement sources and a selling electricity unit price when selling to the plurality of electricity consumers in an electricity retailer that sells electricity procured from a plurality of procurement sources to the plurality of electricity consumers. The program causes a computer to maximize an objective function having, as explanatory variables, a retail-side profit amount that is the profit amount of the electricity retailer represented as a function of a first variable including the plurality of procurement power amounts and the selling electricity unit price, and a demand-side total profit amount that is the total amount of each profit amount of the plurality of electricity consumers represented as a function of a second variable including the selling electricity unit price, so as to obtain the plurality of procurement power amounts and the selling electricity unit price.

[0018] Such a power trading calculation method and power trading calculation program obtain each procurement power amount and selling electricity unit price so that the objective function having the retail-side profit amount and the demand-side total profit amount as explanatory variables is maximized. Therefore, the content of the power trading can be determined in consideration of both the supply and demand of the electricity retailer and the electricity consumers.

Advantages of the Invention

[0019] The power trading calculation device, power trading calculation method, and power trading calculation program according to the present invention can obtain the content of the power trading in consideration of both supply and demand.

Brief Description of the Drawings

[0020]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Modes for Carrying Out the Invention

[0021] Hereinafter, one or more embodiments of the present invention will be described with reference to the drawings. However, the scope of the invention is not limited to the disclosed embodiments. In each figure, components denoted by the same reference numerals are the same components, and the description thereof will be omitted as appropriate. In this specification, when referring to components in general, reference numerals without subscripts are used, and when referring to individual components, reference numerals with subscripts are used.

[0022] The power trading arithmetic device in the embodiment is a device that obtains a plurality of procurement power amounts corresponding to the plurality of procurement sources and the selling electricity unit price when selling to the plurality of electricity consumers for an electricity retailer that sells the electricity procured from a plurality of procurement sources to the plurality of electricity consumers. This power trading arithmetic device obtains the plurality of procurement power amounts and the selling electricity unit price such that an objective function having, as explanatory variables, the retail-side profit amount, which is the profit amount of the electricity retailer represented as a function of a first variable including the plurality of procurement power amounts and the selling electricity unit price, and the demand-side total profit amount, which is the total amount of the profit amounts of the plurality of electricity consumers represented as a function of a second variable including the selling electricity unit price, is maximized. Hereinafter, such a power trading arithmetic device, as well as a power trading arithmetic method and a power trading arithmetic program implemented thereon, will be described in more detail.

[0023] FIG. 1 is a block diagram showing the configuration of the power trading arithmetic device in the embodiment. FIG. 2 is a diagram for explaining the objective function of the power trading arithmetic device.

[0024] The power trading arithmetic device D in the embodiment includes, for example, as shown in FIG. 1, a control processing unit 11, an input unit 12, an output unit 13, an interface unit (IF unit) 14, and a storage unit 15.

[0025] The input unit 12 is connected to the control processing unit 11, and is a device that inputs various commands such as commands instructing the start of an operation, for example, to the power trading arithmetic unit D, and various data necessary for operating the power trading arithmetic unit D, such as the current selling electricity price, transmission electricity price, and expense price, for example. It is a plurality of input switches, a keyboard, a mouse, etc. to which a predetermined function is assigned. The output unit 13 is connected to the control processing unit 11, and is a device that outputs commands and data input from the input unit 12 and various power procurement amounts, selling electricity prices, etc. obtained by the power trading arithmetic unit D according to the control of the control processing unit 11. For example, it is a display device such as a CRT display, an LCD (liquid crystal display device), and an organic EL display, a printing device such as a printer, etc.

[0026] Note that the input unit 12 and the output unit 13 may be constituted by a touch panel. When configuring this touch panel, the input unit 12 is a position input device that detects and inputs an operation position, such as a resistive film method or a capacitance method, for example, and the output unit 13 is a display device. In this touch panel, the position input device is provided on the display surface of the display device, one or a plurality of input content candidates that can be input to the display device are displayed, and when the user touches the display position where the input content to be input is displayed, the position is detected by the position input device, and the display content displayed at the detected position is input to the power trading arithmetic unit D as the user's operation input content. In such a touch panel, since the user can easily understand the input operation intuitively, a power trading arithmetic unit D that is easy for the user to handle is provided.

[0027] The IF unit 14 is connected to the control processing unit 11, and is a circuit that inputs and outputs data to and from external devices, for example, according to the control of the control processing unit 11. For example, it is an interface circuit of RS-232C using a serial communication method, an interface circuit using the Bluetooth (registered trademark) standard, and an interface circuit using the USB standard. Further, the IF unit 14 may be a communication interface circuit that transmits and receives communication signals to and from external devices, such as a data communication card or a communication interface circuit according to the IEEE802.11 standard.

[0028] The storage unit 15 is a circuit connected to the control processing unit 11 and stores various predetermined programs and various predetermined data according to the control of the control processing unit 11. The various predetermined programs include, for example, a control processing program. The control processing program includes, for example, a control program for controlling each part 12 to 15 of the power trading arithmetic device D according to the functions of the respective parts, a demand prediction program for predicting the required power amount of a power consumer as the predicted demand power amount, and a retail side profit amount, which is the profit amount of a power retailer represented as a function of a first variable including a plurality of procured (purchased) power amounts procured from a plurality of suppliers and the selling electricity unit price when selling electricity to a power consumer, and a power trading arithmetic program for obtaining the plurality of procured power amounts and the selling electricity unit price so that an objective function having, as explanatory variables, the total profit amount of each of the plurality of power consumers represented as a function of a second variable including the selling electricity unit price is maximized, etc. The various predetermined data include, for example, data necessary for executing these programs, such as the current selling electricity unit price, transmission unit price, and expense unit price input from the input unit 12. Such a storage unit 15 includes, for example, a ROM (Read Only Memory), which is a non-volatile memory element, an EEPROM (Electrically Erasable Programmable Read Only Memory), which is a rewritable non-volatile memory element, etc. And the storage unit 15 includes a RAM (Random Access Memory), etc., which serves as a working memory of the so-called control processing unit 11 for storing data generated during the execution of the predetermined program. Note that the storage unit 15 may be configured to include a hard disk device having a relatively large storage capacity.

[0029] The memory unit 15 functionally includes a demand prediction information storage unit 151 that stores a plurality of demand prediction information. The plurality of demand prediction information are a plurality of information representing the correspondence relationship between temperature and demand power amount, which are created in advance for each of a plurality of temperature ranges. The plurality of demand prediction information includes, for example, spring and autumn demand prediction information for a temperature of 15 [°C] or more and less than 22 [°C], summer demand prediction information for a temperature of 22 [°C] or more, and winter demand prediction information for a temperature of less than 15 [°C]. The plurality of demand prediction information may be created in advance for each of the plurality of electricity consumers. Such each demand prediction information is appropriately created based on, for example, a plurality of past performance data over a plurality of past years.

[0030] The control processing unit 11 is a circuit for controlling each of the units 12 to 15 of the power trading arithmetic device D according to the functions of the respective units, and obtaining the amount of power procured at each of a plurality of procurement sources and the selling unit price of the power retailer based on an objective function having the retail-side profit amount and the demand-side total profit amount as explanatory variables. The control processing unit 11 is configured to include, for example, a CPU (Central Processing Unit) and its peripheral circuits. When the control processing program thereof is executed, the control processing unit 11 functionally includes a control unit 111, a demand prediction unit 112, and a power trading arithmetic unit 113.

[0031] The control unit 111 controls each of the units 12 to 15 of the power trading arithmetic device D according to the functions of the respective units, and is in charge of the overall control of the power trading arithmetic device D.

[0032] The demand prediction unit 112 obtains the power demand amount corresponding to the predicted temperature as the predicted power demand amount by using the demand prediction information corresponding to the predicted temperature for predicting the power demand amount from among the plurality of demand prediction information stored in the demand prediction information storage unit 151. The predicted temperature for predicting the predicted power demand amount is input, for example, from the input unit 12. Alternatively, for example, the power trading arithmetic device D further includes a temperature sensor that measures the temperature, and the predicted temperature may be obtained from the temperature sensor. Alternatively, for example, each temperature sensor that is communicably connected to the power trading arithmetic device D via the IF unit 14 is arranged at each location of each power consumer 4 (the first to third power consumers 4-1 to 4-3 in the example shown in FIG. 2), and the predicted temperature may be obtained from each of these temperature sensors. In this case, the predicted power demand amount can be obtained for each power consumer 4. When the plurality of demand prediction information is created for each of the plurality of power consumers 4, it may be selected from the plurality of demand prediction information corresponding to the power consumer 4 for which the predicted power demand amount is to be predicted.

[0033] The power trading arithmetic unit 113 obtains the plurality of procurement power amounts procured (purchased) from a plurality of procurement sources and the selling electricity unit price when selling to a plurality of power consumers, and determines the plurality of procurement power amounts and the selling electricity unit price so that the objective function with the retail-side profit amount, which is the profit amount of the electricity retailer represented as a function of the first variable including the selling electricity unit price, and the total profit amount of each of the plurality of power consumers, which is represented as a function of the second variable including the selling electricity unit price, as explanatory variables is maximized.

[0034] The plurality of procurement sources 1 (1-i, i is a positive integer) can purchase power from power generation departments, wholesale markets, etc. For example, as shown in FIG. 2, for example, the first procurement source 1-1 such as a company-owned power plant, the second procurement source 1-2 such as a contracted power plant that has concluded a contract to receive power supply, and the third procurement source 1-3 such as a wholesale power exchange, etc. In the example shown in FIG. 2, i = 1, 2, 3.

[0035] The electricity retailer 3 is a company that purchases electricity from a plurality of suppliers 1 and sells (retails) it to a plurality of electricity consumers 4 (4-j, where j is a positive integer). The electricity retailer 3 supplies power from a plurality of suppliers 1 to a plurality of electricity consumers 4 via the distribution system of the power transmission company 2 that transmits and distributes electricity.

[0036] The retail-side profit ues is obtained by subtracting the average procurement unit price (average wholesale unit price) Pei at the plurality of suppliers 1, the power transmission unit price Pes for power transmission, and the expense unit price Pec of the electricity retailer 3 from the electricity selling unit price (retail price) Pem of the electricity retailer 3. av Then, the subtraction result (Pem - (Pei av - Pes - Pec)) is multiplied by the total procurement power amount me total and is expressed by the formula (ues = ((Pem - (Pei av - Pes - Pec)) × me total ). The expenses include the operating expenses (such as labor costs and office expenses) Pc and the renewable energy levy Pr that the electricity retailer 3 incurs to operate the business.

[0037] The average procurement unit price Pei av is expressed by the formula that divides the sum of the multiplication results (Σ(mei × Pei), where Σ represents the sum over i) obtained by multiplying each procurement power amount mei of the plurality of suppliers 1 by their respective procurement unit prices Pei by the total procurement power amount me total (= Σmei) (Pei av = Σ(mei × Pei) / me total ). In the example shown in Figure 2, Pei av =(me1 × Pe1 + me2 × Pe2 + me3 × Pe3) / me total .

[0038] Therefore, ues = ((Pem - ((Σ(mei × Pei) / Σmei) - Pes - Pec)) × Σmei), and the retail-side profit ues is expressed as a function of the first variable including the plurality of procurement power amounts mei and the electricity selling unit price Pem.

[0039] The required total profit amount on the demand side uj is expressed by a formula obtained by multiplying the difference (Pe0 - Pem) between the current electricity selling price Pe0 and the electricity selling price Pem obtained by maximizing the objective function by the predicted electricity demand amount Mej of the electricity consumer 4, and summing up the results of the multiplication for each of the plurality of electricity consumers 4 of j (uj = Σ((Pe0 - Pem) × Mej), where Σ represents the sum over j). In the example shown in FIG. 2, j = 1, 2, 3, and uj = ((Pe0 - Pem) × Me1 + (Pe0 - Pem) × Me2 + (Pe0 - Pem) × Me3).

[0040] Therefore, the required total profit amount on the demand side uj is expressed as a function of the second variable including the electricity selling price Pem when selling to the electricity consumer 4.

[0041] Here, according to the principle of simultaneous equal quantity for electricity, the sum ΣMej of the predicted electricity demand amounts Mej of each of the plurality of electricity consumers 4 of j is equal to the sum Σmei (= me total ) of the procurement electricity amounts mei of the plurality of i.

[0042] And in this embodiment, the objective function ut is expressed by a formula obtained by multiplying the retail side profit amount ues and the required total profit amount on the demand side uj (ut = ues × uj).

[0043] The power trading calculation unit 113 obtains the plurality of procurement electricity amounts mej and the electricity selling price Pem such that the objective function ut = ues × uj becomes maximum. For example, a known optimization method for determining whether the objective function ut increases or decreases by differentiating the objective function ut and obtaining the maximum value of the objective function ut is used. Alternatively, for example, for the objective function ut, for each of the plurality of procurement electricity amounts mej and the electricity selling price Pem, by solving a system of simultaneous equations of each partial differential equation = 0 obtained by treating one as a variable and the remainder as fixed and performing partial differentiation with respect to the variable, the maximum value (extreme value) and the plurality of procurement electricity amounts mej and the electricity selling price Pem that give it are obtained.

[0044] In addition, when obtaining the plurality of procurement power amounts mej and the selling electricity unit price Pem, predetermined constraint conditions may be set for the plurality of procurement power amounts mej and the selling electricity unit price Pem. That is, the power trading calculation unit 113 obtains the plurality of procurement power amounts mej and the selling electricity unit price Pem under a predetermined constraint condition set for at least one of the plurality of procurement power amounts mej and the selling electricity unit price Pem. For example, Pe0 - Pem > 0 is set as the constraint condition. As a result, the total profit amount uj on the demand side > 0, and the profit of the electricity consumers is guaranteed. Alternatively, for example, the constraint condition is set such that the procurement power amount mej > 0, j = 1, 2, ···. As a result, electricity will be procured from all procurement sources 1. Generally, renewable energy operators with a high procurement unit price Pei can also become procurement source 1, and the continuation of the business of the renewable energy operator can be expected.

[0045] These control processing unit 11, input unit 12, output unit 13, IF unit 14, and storage unit 15 can be configured by, for example, a computer such as a desktop type or a notebook type.

[0046] Next, the operation of this embodiment will be described. FIG. 3 is a flowchart showing the operation of the power trading calculation device.

[0047] When the power trading calculation device D with such a configuration has its power turned on, it executes the initialization of each necessary part and starts its operation. In the control processing unit 11, a control unit 111, a demand prediction unit 112, and a power trading calculation unit 113 are functionally configured by executing its control processing program.

[0048] In FIG. 3, when the input unit 12 receives an instruction to start an operation, the power trading operation device D causes the output unit 13 to display a message prompting the input of various data under the control of the control unit 111 of the control processing unit 11, acquires the various data from the input unit 12 and the IF unit 14 based on the input by the user (operator), and stores them in the storage unit 15 (S1). Based on the display of the message, the user inputs, for example, the predicted temperature when predicting the required power quantity, the procurement unit price Pei of each supplier 1, the power transmission unit price Pes, the expense unit price Pec of the power retailer 3, and the current power selling unit price Pe0 as the various data into the input unit 12.

[0049] Next, the power trading operation device D obtains the required predicted power quantity Mej of each power consumer 4 based on a plurality of required prediction information stored in the required prediction information storage unit 151 and the predicted temperature obtained in process S1 by the required prediction unit 112 of the control processing unit 11, and stores it in the storage unit 15 (S2).

[0050] Next, the power trading operation device D generates the objective function ut = ((Pem - ((Σ(mei × Pei) / Σmei) - Pes - Pec)) × Σmei) × Σ((Pe0 - Pem) × Mej), Σmei = ΣMej based on the various data Pei, Pes, Pec, Pe0 obtained in process S1 and the required predicted power quantity Mej obtained in process S2, and obtains the procurement power quantity mej and the power selling unit price Pem as the content of the power transaction so that this objective function ut is maximized, and stores them in the storage unit 15 (S3).

[0051] Next, the power trading operation device D outputs the procurement power quantity mej and the power selling unit price Pem obtained in process S3 as the content of the power transaction to the output unit 13 under the control of the control unit 111 of the control processing unit 11 (S4). Incidentally, if necessary, the content of the power transaction may be output to an external device via the IF unit 14.

[0052] Next, the power trading arithmetic unit D determines whether to end this process by the control unit 111 of the control processing unit 11 (S5). For example, the control unit 111 displays a message asking whether to end or continue on the output unit 13. When an end is input to the input unit 12 by the user, the control unit 111 determines that this process ends as a result of the determination (Yes), and ends this process. On the other hand, when a continuation is input to the input unit 12 by the user, the control unit 111 determines that this process does not end as a result of the determination (No), and returns the process to process S1.

[0053] As described above, the power trading arithmetic unit D and the power trading arithmetic method and power trading arithmetic program implemented thereon in the embodiment obtain each power procurement quantity mei and power selling unit price Pem so that the objective function ut having the retail-side profit amount ues and the demand-side total profit amount uj as explanatory variables is maximized. Therefore, the content of the power trading can be determined in consideration of both the supply and demand of the power retailer 3 and the power consumer 4. By considering not only the profit of the power supply side but also the profit of the power demand side, the power trading contract can be stably continued, and the market can be continuously formed.

[0054] The above power trading arithmetic unit D, power trading arithmetic method, and power trading arithmetic program can obtain each power procurement quantity and power selling unit price at which the objective function is maximized by differential calculation of the objective function.

[0055] Here, in the above description, the procurement source 1 is the first to third procurement sources 1-1 to 1-3 such as a company-owned power plant, a contracted power plant, or a wholesale power trading office. However, the company's power regulation equipment is included in the procurement source 1, and the control of the power regulation equipment will be introduced.

[0056] FIG. 4 is a diagram for explaining a power system including power regulation equipment. FIG. 5 is a flowchart showing the operation of controlling the power regulation equipment.

[0057] The power transmission and distribution system S shown in Fig. 4 includes a company-owned power plant 1-1 that generates electricity, a contracted power plant 1-2, a renewable energy power plant 1-4, a power plant of an existing power company (other power plant) 1-5, and a company-owned power regulation facility 1-6, a power grid NT that transmits and distributes electricity, a first consumer 4-1, a second consumer 4-2, a third consumer 4-3, and a general power consumer 5 that consume electricity, and first to seventh power meters PM-1 to PM-7 that measure this electricity.

[0058] The company's own power plant 1-1 is connected to the power grid NT via the first power meter PM-1. The measured value of the first power meter MP-1 is designated as me1. The contract power plant 1-2 is connected to the power grid NT via the second power meter PM-2. The measured value of the second power meter MP-2 is designated as me1. The renewable energy power plant 1-4 is connected to the power grid NT via the third power meter PM-3. The measured value of the third power meter MP-3 is designated as me4. The power plant 1-5 of the existing power generation company is connected to the power grid NT, and the total power value of the power plant 1-5 of the existing power generation company measured by a power meter (not shown) is designated as me5. The company's own power regulation facility 1-6 is connected to the power grid NT via the fourth power meter PM-4. The measured value of the fourth power meter MP-4 is designated as me6. The first consumer 4-1 is connected to the power grid NT via the fifth power meter PM-5. More precisely, the above means that "the electrical equipment (such as indoor wiring in homes and buildings, etc.) of the first consumer 4-1 is connected to the power grid NT via the fifth power meter PM-5", but hereinafter, for simplicity, it will be described in the same way. The measured value of the fifth power meter MP-5 is designated as Me1. The second consumer 4-2 is connected to the power grid NT via the sixth power meter PM-6. The measured value of the sixth power meter MP-6 is designated as Me2. The third consumer 4-3 is connected to the power grid NT via the seventh power meter PM-7. The measured value of the seventh power meter MP-7 is designated as Me3. The general power consumer 5 is connected to the power grid NT, and the total power value of the general power consumer 5 measured by a power meter (not shown) is designated as Me4. Each of the company's own power generation facility 1-1 and the company's own power regulation facility 1-6 is communicably connected to the control device CON of the electricity retailer 3, and the company's own power generation facility 1-1 and the company's own power regulation facility 1-6 and the control device CON of the electricity retailer 3 transmit and receive the respective power generation amounts (measured values) me1, me6 and the operation information representing the control commands. Each of the company's own power generation facility 1-1 and the company's own power regulation facility 1-6 is operated (controlled) based on each operation information.

[0059] The power system NT is operated so that the total power generation amount me1 + me2 + me4 + me5 + me6 and the total demand amount (total power consumption amount) Me1 + Me2 + Me3 + Me4 are balanced. However, if the supply-demand balance handled by the electricity retailer 3 collapses (me1 + me2 + me3 ≠ Me1 + Me2 + Me3), a load is imposed on the power system NT of the power transmission company 2, and as a result, the electricity retailer 3 is required to pay a penalty fee to the power transmission company 2. Therefore, in order to maintain the supply-demand balance handled by the electricity retailer 3, the power generation amounts of the in-house power adjustment facilities 1-6 are controlled by the control device CON.

[0060] The in-house power adjustment facilities 1-6 are, for example, engine generators that drive a generator by an engine, battery systems equipped with secondary batteries for charging and discharging, hydrogen systems that store and generate hydrogen, and the like. When the supply-demand balance collapses and me1 + me2 + me3 < Me1 + Me2 + Me3, the engine generator compensates for the insufficient power generation amount (= Me1 + Me2 + Me3 - (me1 + me2 + me3)) by power generation. When the supply-demand balance collapses and me1 + me2 + me3 < Me1 + Me2 + Me3, the battery system compensates for the insufficient power generation amount by discharging. When me1 + me2 + me3 > Me1 + Me2 + Me3, the battery system may be charged with the surplus power (= me1 + me2 + me3 - (Me1 + Me2 + Me3)). When the supply-demand balance collapses and me1 + me2 + me3 < Me1 + Me2 + Me3, the hydrogen system compensates for the insufficient power generation amount by generating power with hydrogen. In hydrogen power generation, for example, power generation is carried out by a fuel cell. Alternatively, for example, power generation is carried out by driving a turbine with the combustion energy of hydrogen. When me1 + me2 + me3 > Me1 + Me2 + Me3, the hydrogen system may generate hydrogen by electrolyzing water with the surplus power and store the generated hydrogen.

[0061] In such a power distribution system S, regarding the company's own power regulation facilities 1-6, in FIG. 5, the control device CON first obtains each measured value me1, me6, Me1-Me3 from each power meter PM-1, PM-4 to PM-7 at each point (S11). Note that the power quantity me2 procured at the contract power plants 1-2 and the power quantity me3 procured at the wholesale power trading office 1-3 are fixed values determined in advance, so they are not obtained.

[0062] Next, the control device CON determines whether the supply and demand balance (supply power quantity me1 + me2 + me3 + me6 = power demand quantity Me1 + Me2 + Me3) is maintained for the company (S12). As a result of this determination, if the supply and demand balance is maintained (me1 + me2 + me3 + me6 = Me1 + Me2 + Me3) (Yes), the control device CON maintains the power generation of the company's own power regulation facilities 1-6 as it is (S13), and then executes process S17. On the other hand, as a result of this determination, if the supply and demand balance is not maintained (me1 + me2 + me3 + me6 ≠ Me1 + Me2 + Me3) (No), the control device CON determines whether surplus power (supply power quantity me1 + me2 + me3 + me6 > power demand quantity Me1 + Me2 + Me3) is generated (S14). As a result of this determination, if the surplus power is generated (me1 + me2 + me3 + me6 > Me1 + Me2 + Me3) (Yes), the control device CON controls the company's own power regulation facilities 1-6 to reduce by a predetermined power quantity △W, thereby reducing the power generation output of the company's own power regulation facilities 1-6 (-△W) (S15), and then executes process S17. On the other hand, as a result of this determination, if the surplus power is not generated, that is, in the case of power shortage (me1 + me2 + me3 + me6 < Me1 + Me2 + Me3) (No), the control device CON controls the company's own power regulation facilities 1-6 to increase by a predetermined power quantity △W, thereby increasing the power generation output of the company's own power regulation facilities 1-6 (+△W) (S16), and then executes process S17.

[0063] In process S17, the control device CON determines whether it is the end of the control. As a result of this determination, if it is the end of the control (Yes), the control device CON ends this process. On the other hand, as a result of the determination, if it is not the end of the control (No), the control device CON returns the process to process S11.

[0064] In this way, the in-house power adjustment facilities 1-6 are controlled according to the supply-demand balance handled by the electricity retailer 3. Thereby, the load on the power grid NT of the power transmission company 2 can be avoided, and the payment of penalty fees can be avoided.

[0065] In order to represent the present invention, the present invention has been appropriately and sufficiently described through the embodiments while referring to the drawings above. However, it should be recognized that those skilled in the art can easily make changes and / or improvements to the above-described embodiments. Therefore, as long as the modified or improved forms implemented by those skilled in the art do not depart from the scope of the claims described in the claims, the modified or improved forms are construed to be included in the scope of the rights of the claims.

Explanation of Signs

[0066] D Power trading arithmetic unit 1 Control processing unit 2 Input unit 3 Output unit 4 Interface unit (IF unit) 5 Storage unit 11 Control unit 12 Demand prediction unit 13 Power trading arithmetic unit 51 Demand prediction information storage unit

Claims

1. An energy trading calculation device for an energy retailer that sells energy procured from a plurality of energy suppliers to a plurality of energy consumers, the energy trading calculation device calculating a plurality of energy procurement amounts mei corresponding to the plurality of energy suppliers i and a power selling price Pem when selling to the plurality of energy consumers j, the energy trading calculation device comprising: a demand forecast information storage unit that stores a plurality of pieces of demand forecast information representing correspondence relationships between temperatures and power demands for a plurality of temperature ranges; an input unit into which a predicted temperature when predicting a demand forecast power amount Mej, a procurement unit price Pei of each of the multiple i suppliers, a power transmission unit price Pes, an expense unit price Pec of the power retailer, and a current power selling unit price PeO are input; a demand forecasting unit that calculates a plurality of j forecasted amounts of power demand Mej for the plurality of j power consumers based on the plurality of pieces of demand forecast information stored in the demand forecast information storage unit and the forecasted temperatures input to the input unit; and an energy trading calculation unit that calculates the plurality of procurement amounts mei and the electricity selling price Pem based on the procurement unit price Pei of each of the plurality i of suppliers, the electricity transmission unit price Pes, the electricity retailer's unit expense price Pec and current electricity selling price Pe0 input to the input unit, and the plurality j of predicted demand amounts Mej of the plurality j of electricity consumers calculated by the demand prediction unit, so as to maximize an objective function ut=((Pem-((Σ(mei×Pei) / Σmei)-Pes-Pec))×Σmei)×Σ((Pe0-Pem)×Mej), Σmei=ΣMej; an output unit that outputs the amount of procured energy mei and the electricity selling price Pem calculated by the energy trading calculation unit as details of the energy trading, Power trading computing device.

2. 1. An electricity trading calculation method executed by a computer, in an electricity retailer that sells electricity procured from a plurality of i suppliers to a plurality of j electricity consumers, for calculating a plurality of i procured energy amounts mei corresponding to the plurality of i suppliers and a power selling price Pem when selling to the plurality of j electricity consumers, comprising: an input step of inputting the predicted temperature when predicting the demand forecast power amount Mej, the procurement unit price Pei of each of the multiple i suppliers, the power transmission unit price Pes, the cost unit price Pec of the power retailer, and the current power selling unit price Pe0; a demand forecasting step of calculating a plurality of j forecasted amounts of power demand Mej for the plurality of j power consumers based on demand forecast information representing a correspondence relationship between temperatures and power demand amounts for each of a plurality of temperature ranges and the forecast temperatures input in the input step; an energy transaction calculation step of determining the plurality of procurement amounts mei and the electricity selling prices Pem based on the procurement unit prices Pei of the plurality of i energy suppliers input in the input step, the electricity transmission unit price Pes, the electricity retailer's unit expense Pec and current electricity selling price Pe0, and the plurality of j predicted demand amounts Mej of the plurality of j energy consumers determined in the demand prediction step, so as to maximize an objective function ut=((Pem-((Σ(mei×Pei) / Σmei)-Pes-Pec))×Σmei)×Σ((Pe0-Pem)×Mej), Σmei=ΣMej; an output step of outputting the procured energy amounts mei and the electricity selling prices Pem calculated in the energy trading calculation step as details of the energy trading. Power trading calculation method.

3. An electricity trading calculation program for an electricity retailer that sells electricity procured from a plurality of i suppliers to a plurality of j electricity consumers, the program calculating a plurality of i procured energy amounts mei corresponding to the plurality of i suppliers and a power selling price Pem when selling to the plurality of j electricity consumers, the program comprising: An energy trading calculation program for causing a computer to function as the energy trading calculation device according to claim 1.

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