JP5886400B1 - Power market pricing system and method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a price forming system for an electric power market and its method capable of increasing the transparency of price and ensuring the adjustment power necessary for stable supply. [MEANS FOR SOLVING PROBLEMS] When a power generation company A and a customer D are participating in a wholesale power market, the frequency shift and tidal current of electric power traded between the power generation company A and the customer D are measured. The distribution equipment side computer 20 that immediately transmits the frequency shift and the tidal current, the frequency shift and the tidal current are received from the distribution equipment side computer 20, and the current power excess / deficiency is determined from the frequency shift and the tidal current. Calculate the market price of power based on the excess and deficiency, calculate the supply unit price and the demand unit price based on the market price, send the supply unit price to the power generation business side computer 10, and send the demand unit price to the terminal 42. And a system operation side computer 30 for transmission. Then, when calculating the market price based on the excess / deficiency amount, the system operation side computer 30 calculates the correction amount corresponding to the excess / deficiency amount, and adds the correction amount to the previously calculated market price to obtain the current price. Calculate the market price. [Selection] Figure 1

Description

  The present invention relates to a power market pricing system and method for forming a price of electric power to be bought and sold in a real-time wholesale power market (hereinafter referred to as “real-time market”) formed after complete liberalization of power.

  Currently, in power supply and demand adjustment, the grid operating organization (central power supply command center) adjusts the power supply capacity to meet the ever-changing demand. The power supply and demand adjustment after the complete liberalization of power is expected to balance supply and demand with the supply power procured using the market mechanism (power trading) in the real-time market, which is the wholesale power market. That is, power is bought and sold at a price formed by balancing supply and demand in the real-time market, and power supply and demand adjustment is performed.

  There is a system that predicts the selling price of electricity in such a real-time market. According to this system, when a power consumer and a power supplier conduct a power transaction, the amount and price of power to be bought and sold are determined based on strategic parameters related to the customer and the supplier, and these parameters are determined. Update based on the results of the power transaction. As a result, power transactions in the actual wholesale power market will be reproduced on the computer, so the market price in the virtual wholesale power market will predict the market price in the actual wholesale power market. (For example, refer to Patent Document 1).

JP 2007-200053 A

  However, even if the price of power in the real-time market is determined using the system described above, there are the following problems. In power supply and demand adjustment using the real-time market, it is not possible to participate in the market unless environmental monitoring such as market monitoring and bidding is done. For this reason, the market participation rate of consumers and power generation companies is low, and the real-time market is not deep. For this reason, fluctuations in market prices are large, and it is expected that the cost of power supply used for power supply and demand adjustment will increase.

  For example, the adjustment of the power supply / demand gap is performed by real-time transactions in the wholesale electricity market using a power source prepared by the grid operating organization and generating a peak power source according to demand. The peak power supply can be used as a total adjustment power, but the utilization rate is low and competition is difficult. For this reason, the peak power supply tends to be expensive. In real-time trading, the transaction volume and price are determined by buying and selling in the market, so the transaction content is highly transparent, but it is difficult to secure the adjustment necessary for stable supply.

  On the other hand, the price may be determined by contract regardless of the real-time market. In this case, there is a problem that the price is not transparent because the electric power is not bought and sold in the market but sold by contract.

  An object of the present invention is to solve the above-mentioned problems, and to provide a price forming system and method for an electric power market that makes it possible to increase the transparency of the price and secure the adjustment power necessary for stable supply. .

  In order to solve the above-mentioned problem, the invention of claim 1 is directed to the electric power sold and sold between the power generation company and the consumer when the power generation company and the customer participate in the wholesale power market. Measuring the frequency deviation and the tidal current, measuring means for immediately transmitting the measured frequency deviation and the tidal current, receiving the frequency deviation and the tidal current from the measuring means, and receiving the received frequency deviation and the tidal current Calculate the current power surplus and deficiency, calculate the market price of power based on the calculated surplus and deficiency, calculate the supply unit price and demand unit price based on the calculated market price, and calculate the calculated supply unit price And a processing unit that transmits to the consumer the unit price of demand that is transmitted to the power generation company, and the processing unit calculates the excess / deficiency when calculating the market price based on the excess / deficiency. Calculate the corresponding correction amount and add this correction amount to the previously calculated market price. Adding to calculate the current market price is the price formation system electricity market, characterized in that.

  In the invention of claim 1, the system includes a measuring unit and a processing unit. The measuring means measures the frequency shift and tidal current of power sold and sold between the power generation company and the consumer when the power generation company and the consumer participate in the wholesale power market. Send deviations and currents immediately. The processing means receives the frequency shift and the power flow, and calculates a current power excess / deficiency from the received frequency shift and power flow. Thereafter, the processing means calculates a market price of electric power based on the calculated excess / deficiency, and calculates a supply unit price and a demand unit price based on the calculated market price. Thereafter, the processing means transmits the calculated supply unit price to the power generation company and transmits the calculated demand unit price to the consumer. Then, when calculating the market price based on the excess / deficiency, the processing means calculates a correction amount corresponding to the excess / deficiency amount, and adds the correction amount to the previously calculated market price to obtain the current market price. Is calculated.

  According to a second aspect of the present invention, in the power market price forming system according to the first aspect, the processing means is configured to calculate a supply unit price and a demand unit price when the difference between the power demand and the supply increases over time. If the difference between the electricity demand and supply decreases over time, a correction amount is calculated to reduce the difference between the supply unit price and the demand unit price, and this value is added to the already calculated market price. The current market price is calculated by adding the correction amount.

  A third aspect of the present invention is the power market pricing system according to the first or second aspect, further comprising a device that is used by the consumer and capable of adjusting power consumption, the device having the processing means The power consumption is calculated based on the price difference between the calculated unit price of demand and the reference price and the time change of the price difference, and the power used to control this power consumption is controlled.

  The invention of claim 4 measures the frequency shift and tidal current of the electric power traded between the power generation company and the consumer when the power generation company and the consumer participate in the wholesale power market. The measurement means immediately transmits the measured frequency deviation and power flow, the processing means receives the frequency shift and power flow, and the current power surplus / deficiency is determined from the received frequency deviation and power flow. Calculated by the processing means, the processing means calculates the market price of electric power based on the calculated excess / deficiency, and calculates the supply unit price and the demand unit price based on the calculated market price, and calculates the supply The processing means transmits the unit price to the power generation company and the calculated demand unit price to the consumer, and when the processing means calculates the market price based on the excess / deficiency, it corresponds to the excess / deficiency Calculate the correction amount to be calculated, and add this correction amount to the previously calculated market price. Calculated to calculate the current market price is the power market pricing method characterized by.

  According to the invention of claim 1 and claim 4, when calculating the current market price, a correction amount corresponding to the excess / deficiency amount is calculated, and the current market price is calculated from the previously calculated market price and the calculated correction amount. Therefore, when determining the value in the wholesale power market, it is possible to present a highly transparent price according to the gap between supply and demand to consumers and power generation companies. Further, according to the inventions of claims 1 and 4, the demand and supply are adjusted instead of the peak power supply by presenting the market price corresponding to the supply and demand gap to the consumer and the power generation company. It can be used as power.

  According to the invention of claim 2, when the current market price is calculated, if the difference between power demand and supply changes over time, the correction amount calculated based on this change is added to the market price. It is possible to present highly transparent market prices according to the output gap.

  According to the invention of claim 3, since the consumer uses a device that performs power control in accordance with the price of power, the supply and demand of power is smoothly adjusted in the wholesale power market, and further, the price movement in the wholesale power market It is possible to stabilize and suppress the price range.

It is a block diagram which shows the price formation system of the electric power market by Embodiment 1 of this invention. It is a figure which shows a frequency shift. It is a figure which shows a tidal current. It is a figure which shows an example of used electric energy data. It is a flowchart which shows an example of a value determination process. It is a figure which shows the relationship between the excess and deficiency of electric power, and the frequency shift. It is a figure which shows the relationship between the difference of an actual demand and an actual supply, and the price of electric power. It is a block diagram which shows the price formation system of the electric power market by Embodiment 2 of this invention.

  Next, embodiments of the present invention will be described in detail with reference to the drawings.

(Embodiment 1)
A power market pricing system according to this embodiment is shown in FIG. The power market pricing system in FIG. 1 is installed in a power generation company computer 10 installed in a power generation company A, a distribution facility computer 20 installed in a distribution equipment company B, and a system operating organization C. And the smart meter 41 and the terminal 42 installed in the customer D. In this embodiment, the computers 10 to 30 and the smart meter 41 are connected to a network NW such as the Internet. Thereby, the computers 10 to 30 and the smart meter 41 are in a state in which data communication is possible. The terminal 42 is also connected to the network NW, but the connection of the terminal 42 may be either wired or wireless.

  In FIG. 1, a plurality of consumers are represented by a customer D, and a plurality of power generation companies are represented by a power generation company A.

  The power generation business side computer 10 of the power generation company A manages data related to the power generation business, for example, data such as the power generation amount of the base power source and the peak power source. The base power source is a power source for responding to a predetermined demand in the electricity used for the day, and the peak power source is a power source for responding to the rapidly increasing demand in the electricity used for the day. Further, when the power generation business side computer 10 receives various types of data from the distribution facility side computer 20 of the distribution facility operator B and the system operation side computer 30 of the system operation organization C via the network NW, the received data indicates. Display the contents and show them to the person in charge.

  The distribution facility side computer 20 of the distribution facility company B manages data related to transportation of electricity generated by the power generation company A. For example, the distribution equipment company B measures a frequency shift that is a deviation of the frequency of the transported electricity and a power flow every time a predetermined time elapses. The distribution facility computer 20 stores frequency shift and tidal current data measured by the distribution facility operator B. For example, as shown in FIG. 2, the distribution facility computer 20 stores data indicating a daily frequency change for a plurality of days. In FIG. 2, a predetermined frequency of the commercial power source, for example, 60 Hz, is set as the value “1”. Similarly, as shown in FIG. 3, the distribution facility side computer 20 stores data indicating changes in the daily tide for a plurality of days. In FIG. 3, the reference reverse power flow is set to the value “1” as in FIG. 2.

  In addition, the distribution facility computer 20 transmits the measured frequency shift and tidal current data to the system operation computer 30 of the system operation organization C in real time. That is, when the distribution facility computer 20 measures the frequency shift and the power flow, the distribution facility computer 20 immediately transmits data representing these to the system operation computer 30 via the network NW.

  Furthermore, in this embodiment, the distribution facility computer 20 receives power consumption data transmitted from, for example, the customer D as a consumer. The power consumption data of the consumer D is data indicating the amount of power used by the consumer D. Thereafter, the distribution facility side computer 20 stores the amount of power used for each predetermined time of each customer, for example, the amount of power used by the customer D every 30 minutes as data. An example of this data is shown in FIG. In the power consumption data, the instrument number of the smart meter 41 corresponding to the name and customer number of the customer D is stored. Further, in the power consumption data, the power consumption of the day is stored every 30 minutes corresponding to the instrument number. The distribution facility computer 20 stores such power consumption data for a plurality of years. Then, the distribution facility side computer 20 transmits the power consumption data for every 30 minutes on the current day to the system operation side computer 30 via the network NW.

  The smart meter 41 of the customer D is a watt hour meter that includes a computer and has a measurement function and a communication function. That is, the smart meter 41 measures the amount of power used by the customer D every predetermined time. The smart meter 41 transmits data indicating each measured power consumption, that is, power consumption data, to the distribution facility computer 20 of the distribution facility operator B via the network NW.

  The terminal 42 of the customer D is a device that has a communication function with the network NW and can display data to be transmitted / received, for example, a mobile phone terminal. When the terminal 42 receives various data from the grid operation side computer 30 of the grid operation organization C, the terminal 42 displays the contents indicated by the data.

  The system operation side computer 30 of the system operation organization C performs various processes in order to balance the supply and demand of electricity in a predetermined area. For example, the system operation side computer 30 edits each power consumption data received from the distribution facility side computer 20 of the distribution facility company B, and predicts the power demand of the day. Specifically, the amount of power used is totaled every 30 minutes, and the amount of power used, which is the result of the totalization, is checked to see how much it increases and decreases over time, and the power demand for the day is predicted.

  Further, the system operation side computer 30 determines the value in the real-time power transaction. That is, as a method for adjusting power, there are a method in which the grid operating organization C secures, for example, the power generation company A as a power source for adjustment, and a method in which the power is adjusted using a price function in the power wholesale market. is there. The system operation side computer 30 determines a value that can be adjusted by the price function when the former and the latter are mixed and when only the latter is present.

  For this purpose, the system operation side computer 30 performs a value determination process shown in FIG. When starting the value determination process, the system operation side computer 30 measures the frequency shift and the tidal current (step S1). In step S1, the system operation side computer 30 receives the frequency shift and tidal current data measured by the distribution facility side computer 20 of the distribution facility operator B via the network NW, and the frequency shift is determined by the received data. Investigate the tides.

  When step S1 ends, the grid operation side computer 30 calculates the excess or deficiency of power (step S2). In step S2, the grid operation side computer 30 makes a prediction based on the frequency shift and power flow obtained in step S1 and, in some cases, based on the power consumption data received from each customer's smart meter. The excess and deficiency of power is calculated in real time with reference to the power demand on that day.

  Specifically, if the current frequency is higher than the frequency shift obtained in step S1, that is, the reference frequency, the power is excessive, and if the current frequency is low, the power is insufficient. The relationship between the power excess / deficiency ΔP and the frequency shift Δf is shown by a relational expression f1 in FIG. As shown in the relational expression f1 in FIG. 6, the power excess / deficiency ΔP and the frequency shift Δf are in a substantially linear proportional relationship. The system operation side computer 30 uses such a relationship when calculating the excess or deficiency of power. Further, when the electric power flows in the direction coming from the customer, that is, when the electric power has a reverse power flow, the electric power is excessive. An excessive amount of power is calculated by this reverse power flow. The system operation side computer 30 uses these relationships when calculating the excess or deficiency of power. Furthermore, as described above, the grid operation side computer 30 calculates the power demand on the day predicted based on the power consumption data received from the smart meter of each consumer as necessary when calculating the excess or deficiency of power. Refer to As described above, the grid operation side computer 30 comprehensively calculates the excess or deficiency of power by referring to the prediction of the power demand on the current day from the frequency shift and the power flow, that is, by combining these. .

  Thus, the system operation side computer 30 calculates the excess / deficiency amount of power corresponding to the power supply / demand gap in real time in step S2.

When step S2 ends, the grid operation side computer 30 calculates the market price of power (step S3). In step S3, the system operation side computer 30 performs the following. When deciding the value of electricity, arranging items in descending order of impact on price,
(1) Price (C0) determined last time is the basis (2) Proportional to the n1 power of the difference between current actual demand and actual supply (ΔPr) • In the case of AC: ΔP∝Δf (frequency), For DC: ΔP∝ΔV (voltage)
・ Incentives need to be given as the difference between supply and demand widens (n1> 1)
(3) Proportional to correction by time change (Δt) of difference between actual demand and actual supply (Δ / Δt (ΔPr))
・ Strictly speaking, it is proportional to n-square, but approximated by 1. (4) Proportional to the difference between the planned and actual demand values (ΔPp). (5) If the load is stable, the real-time price (C1) is
The condition is that it approaches the spot price (Cs). Assuming that a, b, c, and d are proportional constants, the real-time price C1 is calculated from the above conditions (1) to (5).
C1 = C0 + a × ΔPr ⁿ¹ + b × Δ / Δt (ΔPr) + c × ΔPp
+ D × (Cs−C0)
It is shown by the relational expression. Here, the proportionality constants a, b, c, d, and n1 are obtained by regression analysis from data at a time when the configurations of the generator and the load are similar, and are updated periodically.

  For example, the condition (1) is indicated by the term “C0” in the relational expression. That is, for the real-time price C1, the grid operation side computer 30 is based on the price C0 determined last time.

The condition (2) is indicated by the term “a × ΔPr ⁿ¹ ” in the relational expression. In this term, the price of electric power is indicated by the curve relationship f2 in FIG. 7 with respect to the difference ΔPr between the actual actual demand and the actual supply. If the difference ΔPr becomes large and the price of power is indicated by a linear relationship f3, supply may be insufficient with respect to demand. At this time, a power failure may occur. For this purpose, as shown by ΔPr ⁿ¹ , the system operation side computer 30 calculates the correction amount by multiplying the proportional constant n1 to the power and further multiplying by the proportional constant a. With this correction amount, when the difference ΔPr increases, the system operation side computer 30 increases the price of the electric power indicated by the linear relationship f3. As a result, the demand for electric power is reduced to prevent a situation such as a power outage. The linear relationship f3 indicates a state in which the correction amount is linearly changed with respect to the difference ΔPr between the actual demand and the actual supply.

  The condition (3) is indicated by the term “b × Δ / Δt (ΔPr)” in the relational expression. As indicated by Δ / Δt (ΔPr), when the difference ΔPr between the actual demand and the actual supply increases with time, the system operation side computer 30 increases the value difference between the supply unit price and the demand unit price. Further, the correction amount is calculated by multiplying by the proportionality constant b. On the other hand, when the difference ΔPr between the actual demand and the actual supply becomes smaller with the passage of time, the system operation side computer 30 calculates a correction amount that reduces the value difference between the supply unit price and the demand unit price. That is, the above condition (3) takes into account the change in the difference between actual demand and actual supply over time.

  Further, the condition (4) is to calculate a correction amount proportional to the difference ΔPp between the planned value and the actual value of demand, and the condition (5) is that the real-time price C1 and The correction amount is calculated according to the difference from the spot price Cs.

  The system operation side computer 30 calculates the real-time price C1 by using such a relational expression and sets it as the real-time market price. The real-time price C1 is also a price calculated based on the power supply / demand gap mainly under the condition (2).

  Thereafter, the system operation side computer 30 calculates the supply unit price and the demand unit price, for example, taking into account the system maintenance cost, etc. based on the market price of electric power calculated in step S3, that is, the real-time price C1 (step S4). . The supply unit price is a price for a power generation company, and the demand unit price is a price for a consumer. When step S4 ends, the system operation side computer 30 transmits the calculated supply unit price to the power generation business side computer 10 of the power generation company A and the demand unit price to the terminal 42 of the consumer D via the network NW ( Step S5).

When step S5 ends, the system operation side computer 30 checks whether or not there is an instruction to interrupt processing (step S6). If there is no instruction to interrupt the processing in step S6, the system operation computer 30 determines that the right side C0 + a × ΔPr ⁿ¹ + b × Δ / Δt (ΔPr) + c × ΔPp of the previous relational expression.
+ D × (Cs−C0)
The value C0 is calculated from the real-time price C1 calculated in step S3.
C0 = C1
(Step S7), and the process returns to step S1. Thereby, the system operation side computer 30 repeats the same calculation, and calculates the next real-time price C1.

  On the other hand, when there is an instruction to interrupt the process in step S6, the system operation side computer 30 ends the value determination process.

  By such value determination processing, the grid operation side computer 30 transmits the supply unit price and the demand unit price based on the power supply-demand gap to the power generation company A and the customer D in real time.

  Next, a price forming method by the power market price forming system of this embodiment will be described. In this electricity market price formation system, the distribution facility side computer 20 of the distribution facility company B measures the frequency shift and the power flow and transmits them to the system operation side computer 30 of the system operation organization C in real time.

  Further, the smart meter 41 of the customer D measures the amount of power used every predetermined time and transmits it to the distribution facility computer 20 of the distribution facility operator B. When the distribution facility side computer 20 receives the power consumption data from each customer including the customer D, the distribution facility side computer 20 transmits the power consumption data for every predetermined time of the day to the system operation side computer 30 via the network NW. .

  The system operation side computer 30 of the system operation organization C uses the real time data of the frequency shift and the tidal current received from the distribution facility side computer 20 and, if necessary, the real time received from the distribution facility side computer 20. The value determination process is performed using the power consumption data. Thereby, the system operation side computer 30 calculates the market price of electric power, and further calculates the supply price and the demand price. Thereafter, the system operation side computer 30 transmits the real-time supply price to the power generation business side computer of each power generation business including the power generation business side computer 10 of the power generation business A. At the same time, the system operation side computer 30 transmits the real-time demand price to each customer terminal including the terminal 42 of the customer D.

  Thereby, each power generation company including the power generation company A can know the supply price with high transparency according to the demand supply gap, and each customer including the customer D also according to the gap between supply and demand. You can know demand prices with high transparency.

  Thus, according to this embodiment, when determining the value in the conventional real-time market, it is possible to present a highly transparent price according to the demand supply gap of the grid operator to the consumers and power generation companies. . In addition, if a method of presenting a highly transparent price according to the demand-supply gap of the grid operator is adopted, the pricing of power will be clarified, and by introducing equipment with a settling rate for the price of power. Since bidding is also possible, the market participation rate will increase, the market will become deeper, and it can be expected that the power procurement cost used for power supply and demand adjustment will be reduced when the real-time market is used as adjustment power. That is, when the power supply procurement cost is reduced, it is possible to secure the adjustment power necessary for stable power supply.

  The reason why the peak power source used when adjusting the power supply / demand gap is expensive is to prepare a power source with a low utilization rate. Similar to the adjustment of the peak power supply, by presenting the price according to the supply and demand gap to the consumers and the power generation companies, inexpensive demand and supply can be used as the adjustment power instead of the peak power supply.

  As described above, the first embodiment has been described. However, power supply is currently performed by alternating current. Therefore, the grid operation side computer 30 comprehensively calculates the excess and deficiency of power based on the frequency shift and the power flow. However, there is a possibility that the power supply will be DC in the future. In this case, the grid operation side computer 30 comprehensively calculates the excess or deficiency of power based on the voltage deviation and the power flow. In this way, the system according to this embodiment can respond immediately even when the system is changed to a direct current.

(Embodiment 2)
A power market pricing system according to this embodiment is shown in FIG. In this embodiment, components that are the same as or the same as those in the first embodiment described above are denoted by the same reference numerals, and description thereof is omitted.

In this embodiment, the consumer D includes smart devices 43 ₁ to 43 _n . The smart devices 43 ₁ to 43 _n are electric devices that include a computer inside for power control or the like and use electricity from the smart meter 41. The smart devices 43 ₁ to 43 _n generate and absorb heat, and the smart devices 43 ₁ to 43 _n include an air conditioner, a refrigerator, an electric stove, a storage battery, and the like. Since the smart device ₄₃ 1 ~ 43 _n are the same as such, the following description will smart device 43 ₁ as a representative example.

In this embodiment, the smart device 43 ₁ is a device capable of power control, performing power control as follows. In order to smoothly adjust the supply and demand of electric power in the electric power real-time market, stabilize the price movement in the electric power real-time market, and suppress the price range, it is necessary to introduce equipment with a settling rate for the electric power price. is there. Such a device is a smart equipment 43 _1. Smart devices 43 _1, such as air conditioning, many power usage is a device for generating or absorbing heat with adjustable load from the use of forms.

Specifically, the smart device 43 ₁ calculates the power consumption in order to perform power control. When the power consumption of the smart device 43 ₁ is P, the power consumption P is
P = a × ΔT + b × Δ / Δt (ΔT) + c × ΔY + d × Δ / Δt (ΔY)
It is shown by the relational expression. here,
ΔT: temperature difference between target T and current T Δ / Δt (ΔT): time change of ΔT ΔY: price difference between reference Y (*) and current Y Δ / Δt (ΔY): time change of ΔY a, b , C, d: proportional coefficients. The manufacturer and user of the device select the proportional coefficients a, b, c, and d. In the above relational expression, the reference Y (*) is
Reference Y (*) = m × Y (t) + (1−m) × Yc
Indicated by
Y (t): 24-hour price for each hour Yc: Average price for 24 hours m: Distribution ratio of Y (t) and Yc. Here, an example of Y (t) [function for hours] and Yc [constant] is an average value for the nearest three days close to the expected temperature. That is, Y (t) and Yc are the prices expected on the day, and when m = 1, the reference Y = current Y, and the influence of price fluctuations is not reflected. When m = 0, the price difference from the average price is reflected. Then, the smart device 43 _1, for example through the smart meter 41, by utilizing the demand bids received from the system operation side computer 30 of the system management institution C, and calculates the price Y (t) or the like.

In the above equation the smart device 43 ₁ is used, the power consumption P is a temperature difference [Delta] T, which corresponds to the time variation of the temperature difference [Delta] T. In addition to this, the power consumption P corresponds to the price difference ΔY and the time change of the price difference ΔY.

However, the smart device 43 ₁ is to generate and absorb the control heat in a short period, or cool or warm air and water. Because the air or water is the specific heat, for controlling the smart device 43 ₁ in a short time, because the air and water hardly response, there is little effect on the user. Incidentally, the smart meter 41 for power measurement, proceed to consider at 30 minute intervals, since the short period can not be handled, in this embodiment incorporates a mechanism to communicate directly with smart appliances 43 _1, the smart meter 41 Combined. Then, the smart device 43 ₁ performs power control such that the power consumption P calculated earlier.

Next, a method for adjusting the power used by the smart devices 43 ₁ to 43 _n will be described. The power Y used is
Y = Y0 * P0 * t0 + [Sigma] ((Y1-Y0) * P1 * t1), [P0 * t0 = [Sigma] (P1 * t1)]
It is shown by the relational expression. here,
Y0: price of the settlement unit of the smart meter 41 P0, t0: measured value and time of the smart meter 41,
Y1: Price of subdivided measurement unit P1, t1: Subdivided measurement value and time. Basically, the settlement is performed with the measured value (average value) of the smart meter 41, but the deviation from the average value is settled as a difference to effectively enable control in a short cycle.

Thus, according to this embodiment, the consumer D introduces the smart devices 43 ₁ to 43 _n having a settling rate with respect to the price of electric power. As a result, it is possible to smoothly adjust the supply and demand of electric power in the real-time market of electric power, further stabilize the price movement in the real-time electric power market, and suppress the price range. Furthermore, the smart devices 43 ₁ to 43 _n have a large amount of power consumption, and it is effective to introduce them into air conditioners, refrigerators, stoves, and storage batteries that generate and absorb heat that can adjust the load depending on the form of use.

In addition, as described above, the reason for the less coordination power in market transactions is that the hurdles to participate in the market are high. Similar to the hourly charge, this embodiment adjusts the amount of power according to the presented charge, and can be used by all customers. Furthermore, as with AFC (automatic frequency control) generators, by introducing smart devices 43 ₁ to 43 _n having a settling rate with respect to the price, they can be used as a stable adjustment force.

10 power generation business side computer 20 distribution facilities side computer 30 system operation side computer 41 smart meter 42 terminal ₄₃ 1 ~ 43 _n smart devices

Claims (4)

When a power generation company and a consumer are participating in the wholesale power market, the frequency deviation and power flow of power sold and sold between the power generation company and the consumer are measured, and the measured frequency deviation is measured. A measuring means that immediately transmits the tide and current,
Receiving the frequency shift and power flow from the measuring means, calculating the current power surplus and deficiency from the received frequency shift and power flow, calculating the market price of power based on the calculated surplus and shortage, Processing means for calculating a supply unit price and a demand unit price based on the calculated market price, transmitting the calculated supply unit price to the power generation company and transmitting the calculated demand unit price to the consumer;
With
When calculating the market price based on the excess / deficiency, the processing means calculates a correction amount corresponding to the excess / deficiency amount, and adds the correction amount to the previously calculated market price to obtain the current market price. calculate,
Electricity market price formation system characterized by that. The processing means increases the value difference between the unit price of supply and the unit price of demand when the difference between power demand and supply increases over time, and decreases the difference between power demand and supply over time. If so, calculate the correction amount to reduce the difference between the supply unit price and the demand unit price, and add the correction amount to the already calculated market price to calculate the current market price.
The price formation system of the electric power market of Claim 1 characterized by the above-mentioned. A device that can be used by the consumer and can adjust power consumption,
The device calculates power consumption based on a price difference between the demand unit price calculated by the processing means and a reference price, and a time change of the price difference, and controls power used to become the power consumption. ,
The price formation system of the electric power market according to claim 1 or 2. When a power generation company and a consumer are participating in the wholesale power market, the frequency deviation and power flow of power sold and sold between the power generation company and the consumer are measured, and the measured frequency deviation is measured. And the measurement means will immediately send
The processing means receives the frequency shift and the power flow, the processing means calculates the current power surplus and deficiency from the received frequency shift and power flow, and calculates the market price of power based on the calculated surplus and deficiency. Calculated by the processing means, the processing means calculates a supply unit price and a demand unit price based on the calculated market price, and sends the calculated supply unit price to the power generation company while the processing unit transmits the calculated demand unit price. Send to the consumer,
When the processing means calculates the market price based on the excess / deficiency amount, it calculates the correction amount corresponding to the excess / deficiency amount, and adds the correction amount to the previously calculated market price to calculate the current market price. To
A method for forming a price in the electric power market.

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