WO2023157314A1

WO2023157314A1 - Energy management system, energy management method, and program

Info

Publication number: WO2023157314A1
Application number: PCT/JP2022/007031
Authority: WO
Inventors: 良幸伊藤
Original assignee: 日本碍子株式会社
Priority date: 2022-02-21
Filing date: 2022-02-21
Publication date: 2023-08-24
Also published as: JPWO2023157314A1; JP7279270B1; JP2023121751A

Abstract

A computer system controller according to the present invention comprises: a demand management module that manages the power demand of consumers; a procurement management module that manages the procurement of power by retailers; a storage battery management module for power procured by retailers; and a power generation management module that manages a power generation device of a retailer. The demand management module predicts the power demand pattern of the consumer. The power generation management module predicts the power generation pattern of the power generation device. The procurement management module calculates a power procurement pattern of retailers on the basis of the power demand pattern and the power generation pattern and determines power procurement shortages on the basis of the power procurement pattern. The storage battery management module sets the operation pattern of the storage battery such that the storage battery can perform discharging and charging to compensate for a shortage in power procurement, and on the basis of the operation pattern, operates the storage battery when the procurement management module procures power.

Description

ENERGY MANAGEMENT SYSTEM, ENERGY MANAGEMENT METHOD AND PROGRAM

The present invention relates to energy management that manages the supply of electricity procured by electricity retailers to consumers.

Electricity retailers procure electricity from power producers and wholesale electricity markets, and if they have their own power generation facilities such as solar power generation, biomass power generation, gas cogeneration, etc. The procured power is supplied to consumers. Efforts have also been made to reduce power procurement costs by incorporating storage batteries into energy management systems that manage power transactions of electricity retailers.

As an energy management system of this kind, Patent Document 1 describes the prediction of the amount of power demand for each consumer (factory, company, general household), the prediction of the assumed output amount of PV50 (photovoltaic power generation device), and the power market It is disclosed that the profitability of the electricity retail business is evaluated by predicting the price of

In addition, in Patent Document 2, in a storage battery connected to a power generation system that uses natural energy, by analyzing the past power price and power generation amount, it is possible to appropriately charge and discharge while satisfying the predetermined upper limit of the charge amount. A method for controlling timing is disclosed.

JP 2018-206027 A JP 2015-156195 A

In the past, household storage batteries were used as storage batteries in the energy management systems of electric power retailers. Due to the above and the complexity of battery control, the use of domestic storage batteries has not been practical. On the other hand, even if an attempt was made to use a large-output, large-capacity industrial storage battery, the energy management system could not achieve power transaction control while utilizing the characteristics of this. Therefore, the object of this application is to provide an invention related to energy management that enables industrial storage batteries to be effectively used to control retail transactions of electric power.

The invention for achieving the above object is an energy management system for managing the supply of electric power procured by an electric power retailer to consumers, comprising a controller and a memory, wherein the controller records in the memory a computer system that executes a customized energy management program, wherein the controller includes a demand management module that manages the power demand of the consumer, a procurement management module that manages power procurement by the retailer, and the retail business a storage battery management module that manages an industrial storage battery that charges power procured by a retailer and discharges the charged power to the consumer; and a power generation management module that manages the power generator of the retailer. , the demand management module predicts a power demand pattern of the consumer; the power generation management module predicts a power generation pattern of the power generation device; and the procurement management module predicts the power demand pattern and the power generation pattern. Based on this, a power procurement pattern by the retailer is calculated, a shortage of power procurement is determined based on the power procurement pattern, and the storage battery management module performs discharge to compensate for the shortage of power procurement and discharge for the discharge. An operation pattern of the storage battery is set so that the storage battery can perform charging, and the storage battery is operated when the procurement management module procures power based on the operation pattern.

Further, the invention of the method according to the present application is an energy management method for managing the supply of electric power procured by an electric power retailer to consumers, wherein a computer system that implements the method controls the power demand of the consumers. , manages procurement of power by the retailer, charges the power procured by the retailer, and manages an industrial storage battery that discharges the charged power to the consumer, and the retailer managing a power generation device of a business operator, predicting a power demand pattern of the consumer, predicting a power generation pattern of the power generation device, and procuring power by the retailer based on the power demand pattern and the power generation pattern A pattern is calculated, a shortage of power procurement is determined based on the power procurement pattern, and an operation pattern of the storage battery is determined so that the storage battery can perform discharging to compensate for the shortage of power procurement and charging for the discharging. Then, based on the operation pattern, the storage battery is operated when power is procured.

Furthermore, the invention of the program according to the present application is a program for enabling a computer to realize energy management for managing the supply of electric power procured by an electric power retailer to consumers, wherein the computer is configured to control the electric power demand of the consumers. a procurement management function for managing the procurement of power by said retailer; and charging the power procured by said retailer and discharging the charged power to said consumer. and a power generation management function that manages the power generation device of the retailer. The demand management function predicts the power demand pattern of the consumer, and the power generation management function predicts the power generation pattern of the power generation device, the procurement management function calculates the power procurement pattern by the retailer based on the power demand pattern and the power generation pattern, and based on the power procurement pattern Determining a shortage of power procurement, the storage battery management function sets an operation pattern of the storage battery so that the storage battery can discharge and charge for the discharge to compensate for the shortage of power procurement, and sets the operation pattern. , the storage battery is operated when the procurement management function procures electric power.

According to the invention of this application, it is possible to realize energy management in which industrial storage batteries can be effectively used to control retail transactions of electric power.

1 is a block diagram of a power handling system of a retail electricity supplier; FIG. FIG. 2 is a block diagram of a plurality of modules for power transaction management implemented by a controller of a computer system (energy management system) of the power handling system executing an EMS program recorded in a memory; 4 is a flow chart relating to an example of energy management by a controller; FIG. 4 is a waveform diagram showing daily fluctuations in combined demand, which is the sum of predicted power demands of all consumers; FIG. 10 is a waveform diagram showing a predicted one-day variation in photovoltaic power generation; FIG. 4 is a waveform diagram showing daily fluctuations in the amount of electric power to be procured by a retail electricity supplier; FIG. 7 is a diagram showing a power shortage in the waveform diagram of FIG. 6 ; FIG. 4 is a waveform chart showing daily fluctuations in the spot price of electricity in the electricity trading market. It is an example of a charging/discharging pattern of a storage battery. FIG. 4 is a waveform diagram showing an example of a storage battery operation pattern derived by a storage battery management module; 7 is a graph showing variations in SOC and battery temperature as a result of simulation; 10B is a waveform diagram according to a modified example of the operation pattern of FIG. 10A; FIG. FIG. 10C is a graph showing variations in SOC and battery temperature in simulation results according to the modified example of FIG. 10C. 1 is a graph illustrating a first type of pattern of a plurality of types of synthetic demand patterns; 1 is a graph showing a first type of pattern among a plurality of types of solar power generation patterns; It is a graph which shows the pattern of the amount of electric power which needs to be procured. FIG. 11C is a graph showing a power shortage in the pattern of FIG. 11C; FIG. FIG. 11B is an operation pattern of a storage battery corresponding to a combination of the type of FIG. 11A and the type of FIG. 11B. FIG. 5 is a graph illustrating a second type of pattern of the plurality of types of synthetic demand patterns; FIG. FIG. 4 is a graph showing a second type of pattern among the plurality of types of solar power generation patterns; FIG. It is a graph which shows the pattern of the amount of electric power which needs to be procured. FIG. 12C is a graph showing a power shortage in the pattern of FIG. 12C; FIG. FIG. 12B is an operation pattern of a storage battery corresponding to a combination of the type of FIG. 12A and the type of FIG. 12B. FIG. 4 is a block diagram showing that the storage battery is composed of a plurality of storage battery units; FIG. 4 is a block diagram showing ranking of multiple units;

Next, an embodiment of the present invention will be described. FIG. 1 is a block diagram showing an outline of an electric power handling system 10 of a retail electric power company as an electric power retailer. The electric power handling system 10 supplies electric power 10A procured by a retail electric power company from a power generation company 20 and electric power 10E procured from an electric power trading market 21 to electric power consumers 22, 24, and 26 (10B-10D). . The power trading market 21 may be the Japan Electric Power Exchange (JEPX). Consumers include public facilities 22 such as schools, government offices, and hospitals, factories 24, disaster prevention base facilities 26, etc., and are not particularly limited in number or type.

　12 indicates a photovoltaic power generation device as a self-consumption type renewable energy power generation device managed and operated by a retail electric power company, and 14 indicates an industrial storage battery managed and operated by a retail electric power company. As an industrial storage battery, a NAS battery (sodium sulfur battery) is suitable as a stationary secondary battery that can exhibit a large output of megawatt class and can store a large amount of power for 6 to 7 hours. .

The NAS battery exhibits an endothermic reaction during charging and an exothermic reaction during discharging. The optimum temperature for the battery reaction is 280-340 degrees Celsius. The NAS battery is kept in the temperature range by the heater, and when the temperature exceeds the temperature range, the discharge operation of the battery may be suppressed. It is also possible to have a function of supplying power from the industrial storage battery 14 to the disaster prevention base facility 26 in the event of a power failure.

　16 is an energy management system (EMS) for electricity procurement, electricity retailing, and management of electricity retailers, and is equipped with a computer system. A controller (processor such as a CPU) of the computer system 16 implements a plurality of modules for power transaction management by executing the EMS program recorded in the memory. The memory may be of a non-portable type such as a hard disk or SSD. Note that the computer system 16 may be constructed on a cloud that connects to a plurality of electricity retailers.

As shown in FIG. 2, as a plurality of modules, a demand management module 16A that manages power demand of each of a plurality of consumers 22, 24, and 26, and a procurement module 16A that manages power procurement from the power generator 20 and JEPX 21 There are a management module 16B, a storage battery management module 16C that manages the storage battery 14, and a power generation management module 16D that manages the photovoltaic power generation device 12. FIG. A "module" is a technical function achieved by a controller executing a program. You can paraphrase it. A plurality of modules, as described later, cooperate with each other to implement power trading. It should be noted that the module may be realized by dedicated hardware.

The demand management module 16A manages consumer information such as names and industries of each of a plurality of consumers, and also manages time-series data of power demand of each consumer. The procurement management module 16B manages the formulation of power procurement plans between the power generator 20 and the power trading market 21, management of contract information, execution of procurement, and the like. The storage battery management module 16C monitors battery status information such as the temperature of the storage battery, the number of equivalent cycles, SOC, and SOH, and controls charging and discharging of the storage battery, based on the time-series information from the sensor provided in the storage battery 14. do. The power generation management module 16D manages device information of the photovoltaic power generation device 12, power generation information, and the like.

Next, an example of energy management by the controller will be explained using the flowchart in FIG. The controller executes this flowchart at a fixed time every day to formulate a power procurement plan for the next day. The demand management module 16A refers to the power demand management table recorded in the memory. In the management table, time-series data of actual power demand is recorded for each of a plurality of consumers. The power management module 16A predicts the next day's power demand for each of a plurality of consumers using a technique called time series analysis (S200). This method is an analysis method that creates a model from numerical sequences recorded over time and makes future predictions.

The demand management module 16A adds the predicted demands for each of the multiple consumers, and calculates a combined demand that is the sum of the predicted power demands of all consumers (S202). FIG. 4 shows the pattern of synthetic demand, ie, the daily variation of synthetic demand.

Next, the power generation management module 16D refers to the time-series information of the photovoltaic power generation recorded in the management table of the memory, and predicts the power of the photovoltaic power generation for the next day in the same manner as the power demand prediction (S204). . FIG. 5 shows the predicted power generation pattern of photovoltaic power generation, that is, the fluctuation of photovoltaic power generation for one day.

The procurement management module 16B calculates the difference between the combined demand forecast pattern (Fig. 4) and the solar power generation forecast pattern (Fig. 5) (S206). This difference is the fluctuation pattern of the amount of electric power to be procured by the electricity retailer, that is, the necessary procurement amount. This pattern is shown in FIG.

Next, the procurement management module 16B compares the content of the contract with the power generation company with the pattern of power to be procured (FIG. 6), and checks whether the amount to be procured is excessive or short of the contract ( S208). Therefore, the procurement management module 16B refers to the memory and reads the contract information. The contract between the electricity retailer and the power generator is defined by kW (value of peak power), kWh (maximum value of power consumption), and supply pattern (fluctuation pattern of power consumption).

When the procurement management module 16B determines that there is no excess or deficiency (S208: No), it concludes that there is no need to change the current operation pattern of the storage battery 14, and ends the flowchart. On the other hand, when the procurement management module 16B determines that there is an excess or deficiency (S208: Yes), the required procurement amount (FIG. 6) is within the scope of the contract with the power generation company in order to change the operation pattern of the storage battery 14. , that is, if the power to be procured (FIG. 6) cannot be secured, the shortage is covered by discharging from the storage battery 14. is calculated (S210). In FIG. 7, the power amount 62 exceeding the supply upper limit 60 from the power generation company is the power amount that is insufficient among the procurement amount.

Procurement of the shortfall of power from power producers through non-contractual transactions is generally more costly than procurement from the market, and will affect future contracts with power producers. may prefer to procure from the market.

The procurement management module 16B obtains the forecast information of the power price in the market for the next day, and formulates a plan to procure power during the time period when the price is low and to charge the storage battery to the discharged capacity (S212). . In FIG. 8, 72 is the lowest price time slot, the procurement management module 16B procures extra power during this time slot 72, and the storage battery management module 16C sets an operation pattern for charging the storage battery 14 with that power. set.

Since the storage battery has an output value limit, if the required charging capacity cannot be achieved only by charging during the time period 72 when the power transaction price is the lowest, the procurement management module 16B A plan for charging even in the next lowest time zone 70 is created. Therefore, the storage battery management module 16C operates the storage battery so as to charge and discharge in the pattern shown in FIG. That is, the storage battery management module 16C operates the storage battery 14 so as to charge the battery in the

time slots

70 and 72 and discharge the charged power amount in the time slot 62 when the power is insufficient.

The storage battery management module 16C sets an operation pattern associated with charging and discharging of the storage battery based on the plan created by the procurement management module 16B. Next, the storage battery management module 16C performs a simulation based on this operation pattern to check whether or not the storage battery has restrictions or restrictions that prevent this operation pattern from being realized (S214). Therefore, the storage battery management module 16C refers to the storage battery status information table in the memory, reads the output, temperature, SOC, SOH, and equivalent cycle number of the storage battery, and checks the feasibility of the operation pattern based on these. do.

For example, when the temperature of the storage battery exceeds the upper limit value, or when it is assumed that the temperature of the storage battery exceeds the upper limit value due to discharge, the storage battery management module 16C determines that it is necessary to restrict the operation of the storage battery ( S214: Yes), in order to avoid a further rise in the temperature of the storage battery due to discharge, the parameters are reviewed so as to limit or suppress the operation pattern of the storage battery (S218), and discharge of the storage battery is canceled or Control the operation of the storage battery by, for example, reducing the amount of discharge. Reasons for restricting the operation of the storage battery include the temperature rise of the storage battery 14, the degree of deterioration of the storage battery, and the lack of capacity of the storage battery. The storage battery management module 16C automatically reviews the output (kW) and discharge time (h) of the storage battery according to the type of restriction (temperature, capacity). The electricity retailer may set which parameter, output or time, should be reviewed with priority.

Concretely explain the operation restrictions of the storage battery. FIG. 10A shows the operating pattern of the storage battery derived by the storage battery management module 16C, that is, the charging/discharging timing. The storage battery management module 16C refers to the number of equivalent cycles, SOH, and SOC, and performs a driving simulation based on this driving pattern. FIG. 10B shows variations in SOC 302 and battery temperature 304 as a result of simulation. In FIG. 10B, although the SOC is 100% or less and charging is possible, the battery temperature (T ° C.) 304 exceeds the upper limit value 304T of the battery temperature in the region of its maximum value (304A) as it discharges. ,It is shown that.

When the storage battery management module 16C determines this excess temperature, it limits the parameters of the operation pattern (FIG. 10A) of the storage battery, and performs the operation simulation again based on the limited parameters. Therefore, the storage battery management module 16C limits the output (kW) and/or the discharge time (h), which are operation control parameters of the storage battery. For example, the storage battery management module 16C removes the discharge capacity in the range indicated by reference numeral 300 in FIG. 10A as shown in FIG. 10C, corrects the operation pattern so as to suppress the discharge power amount (S218), and then performs the simulation again. FIG. 10D shows the results of the simulation. FIG. 10D shows that the maximum value 304A of the storage battery temperature, which is an attribute of the storage battery, is less than the upper limit 304T. The storage battery management module 16C repeats operation pattern correction and operation pattern simulation until the attribute of the storage battery falls within the limits. In this way, the storage battery management module 16C controls the discharging mode of the storage battery so that the temperature of the storage battery 14 is within the above-described optimum temperature range. In addition, the storage battery management module 16C can suppress the charge amount as indicated by the dashed line 310 in FIG. 10C in accordance with the restriction on the discharge amount (FIG. 10A: 300).

The procurement management module 16B changes the power procurement plan so that the power that cannot be discharged can be procured from the market. If the storage battery 14 does not have enough chargeable capacity, the storage battery management module 16C may limit the charging and then discharge, or the procurement management module 16B may procure from the market the amount of power that is not discharged. .

Thus, in S216, the storage battery management module 16C determines the operating pattern for charging and discharging the storage battery 14. The storage battery management module 16C operates the storage battery on the next day based on this operation pattern.

In the explanation of the flowchart mentioned above, we explained the case where the power procurement amount (kW) required by the consumer exceeds the upper limit of supply from the power generation company, but the necessary power procurement amount (Fig. 5) is If there is a portion below the supply lower limit from the source (S208: Yes), the storage battery management module 16C sets an operation pattern for charging the difference (excess) between the two, and the procurement management module 16B sets this The charged power should be sold to the market during the time zone when the market price is the highest.

The controller executes the flowchart of FIG. 3 before the market bidding time on the day before power is procured. If there is a difference between the predicted value and the forecasted value, the flowchart may be executed every 30 minutes on the day to correct this difference and power may be procured at the trading price in the early market instead of the spot market. Note that the charge capacity is a value obtained by dividing the discharge capacity by the charge/discharge efficiency of the storage battery.

Next, a second embodiment of the present invention will be described. In the above-described embodiment, it was explained that the shortage of procurement amount is supplemented by utilizing the storage battery, but this embodiment is characterized in that the EMS 16 determines whether or not the storage battery can be utilized.

In step S208 (FIG. 3) described above, when the procurement management module 16B detects the shortage 62 (FIG. 7), the procurement management module 16B reports the cost and the shortage to the market when the shortage is compensated for by charging and discharging the storage battery. It compares the cost with the cost when it is procured from , and decides to execute the method with the lower cost. The procurement management module 16B calculates the operating cost of the storage battery as follows. A procurement unit price is a unit price for procuring power from the power trading market 21 .

(Procurement unit price during charging x discharge amount x charging/discharging efficiency) + (Auxiliary power consumption x procurement unit price)
The charge/discharge efficiency varies depending on the degree of deterioration of the storage battery. The procurement management module 16B calculates the latest charging/discharging efficiency based on the time-series data of the storage battery. Auxiliary electric power is electric power procured mainly for devices, heaters, and fans as means for maintaining the temperature of the storage battery at the reaction optimum temperature described above. The procurement unit price is an integrated value for one day.

The procurement management module 16B calculates the cost of procuring the shortfall from the market as follows.
(Procurement unit price x Procurement volume) + (Auxiliary power consumption x Procurement unit price)
Even when the storage battery is not used, auxiliary electric power is necessary to keep the storage battery warm with the heater. When the storage battery is discharged, the amount of electric power for the auxiliary equipment may be reduced due to heat generation. The procurement management module 16B also calculates the decrease in the amount of electric power for auxiliary equipment and compares the costs.

When the procurement management module 16B selects a storage battery, it executes step S210 and subsequent steps in the flowchart of FIG. On the other hand, when the procurement management module 16B selects procurement, a plan is made to compensate for the shortage of power by procuring power, and the flow chart of FIG. 3 ends.

Next, a third embodiment of the present invention will be described. In the above-described embodiment, in order for the computer system 16 to obtain the operation pattern (FIG. 9) of the storage battery 14, the prediction of the combined demand (FIG. 4) and the prediction of the photovoltaic power generation (FIG. 5) were calculated. (FIG. 3: S200-S204), in this embodiment, the computer system 16 categorizes the combined power demand pattern and the photovoltaic power generation pattern, respectively, and classifies the type of combined power demand pattern and the photovoltaic power generation pattern. The calculation load of the computer system 16 is reduced by selecting the operation pattern of the storage battery 14 based on the combination with the type. In particular, when using a NAS battery that can store a large amount of power for 6 to 7 hours, the load on the computer system 16 (calculation load, maintenance load, etc.) can be further reduced by simplifying the operation pattern.

First, an example of categorization of a composite power demand pattern and a photovoltaic power generation pattern will be described. The computer system 16, for example, predicts the forecast pattern of the combined power demand,
(summer/winter (high demand season), spring/autumn (off-season)) x (weekdays, holidays)
The forecast pattern of photovoltaic power generation is
It is classified into 9 types of (sunny, cloudy, rainy) x (summer, spring/autumn, winter).

The demand management module 16A refers to the time-series information on power demand stored in the consumer database in the memory, and classifies the patterns of combined demand for one day into four types. The demand management module 16A averages a plurality of patterns of synthetic demand for each type to form a representative pattern (composite demand) for each type, and stores this in the management table of the memory.

Furthermore, the power generation management module 16D refers to the time-series information of the photovoltaic power generation stored in the photovoltaic power generation database in the memory, and classifies the power generation pattern of the day into each of nine types. The power generation management module 16D averages a plurality of patterns for each type to form a representative pattern (photovoltaic power generation) for each type, and stores this in a memory management table. The demand management module 16A and the power generation management module 16D may update their representative pattern settings periodically, for example, once a month.

Furthermore, the storage battery management module 16C sets a storage battery operation pattern in advance for each of 36 combinations of the combined demand pattern type and the photovoltaic power generation pattern type, and stores this in a memory management table. Once the combination of the synthetic demand pattern type and the photovoltaic power generation pattern type is determined, the required procurement pattern is determined. Once the required procurement pattern is determined, it is possible to determine the time periods in which there will be a shortfall in the procurement volume according to the terms of the contract with the power producer.

The storage battery management module 16C determines the timing of discharging from the storage battery 14 during the period of time when the shortage occurs, while the timing of charging the shortage may be the time period when the market price of electricity is low (see FIG. 8). ). Since it is known that trends in the market transaction price of electricity follow similar patterns depending on the season and weather, the procurement management module 16B controls charging for each combination of the type of synthetic demand pattern and the type of solar power generation pattern. can determine the timing of

Therefore, the storage battery management module 16C can preset a storage battery operation pattern consisting of charging and discharging timings of the storage battery 14 for each combination of the combined demand pattern type and the photovoltaic power generation pattern type.

The procurement management module 16B performs statistical processing on the time-series data of the market transaction price pattern of electricity for each combination of the synthetic demand pattern type and the photovoltaic power generation pattern type, and represents the market price for each combination. A regular pattern is created and periodically updated in the memory of the computer system 16 .

The combination of the synthetic demand pattern type and the solar power generation pattern type, and the allocation of the storage battery operation pattern will be explained based on the diagram. FIG. 11A shows a pattern of a type in which the season is a high demand period (summer/winter) and the classification of holiday weekdays is "weekdays" among a plurality of types of synthetic demand patterns. FIG. 11B shows a pattern of cloudy weather and summer season among the plurality of types of photovoltaic power generation patterns. When the photovoltaic power generation pattern is subtracted from the composite demand pattern, the pattern (prediction) of the amount of power that needs to be procured is calculated as shown in FIG. 11C.

The procurement management module 16B, in step S208 in FIG. 3 described above, and as shown in FIG. 7, when it determines that the power pattern in FIG. Select and read the storage battery operation pattern (FIG. 11E) corresponding to the combination of the type of [high demand period (summer/winter), weekday] and the type of photovoltaic power generation pattern [cloudy, summer], It is set in the storage battery management module 16C.

FIG. 12A shows a pattern of a type in which the season is "between seasons (spring/autumn)" and the classification of holiday weekdays is "weekdays" among multiple types of synthetic demand patterns. FIG. 12B shows a pattern of a type in which the weather is "sunny" and the season is "spring" among the plurality of types of photovoltaic power generation patterns. By subtracting the photovoltaic power generation pattern from the composite demand pattern, the power pattern (forecast) that needs to be procured is calculated as shown in FIG. 12C. When the procurement management module 16B determines that there is a shortage (62 in FIG. 12D) in the power pattern in FIG. The pattern (FIG. 12E) is read and set in the battery management module 16C.

Next, the operation of this embodiment will be described. Based on the calendar information, the demand management module 16A retrieves the type of synthetic demand pattern (FIGS. 11A, 12A) from memory. Next, the power generation management module 16D reads the type of solar power generation pattern (FIGS. 11B and 12B) from memory based on the calendar information and the weather information. Note that the type may be set by the electricity retailer instead of the calendar information.

Next, the procurement management module 16B determines the required procurement quantity (FIGS. 11C, 12B) based on the combination of the type of synthetic demand pattern and the type of solar power generation pattern (FIGS. 11A and 11B, FIGS. 12A and 12B), respectively. 12C) is calculated. The procurement management module 16B compares the required procurement amount with the upper limit value 60 to determine whether there is a power shortage 62 (FIGS. 11D and 12D).

When the procurement management module 16B determines that there is no shortage 62, it ends the operation of setting the operation pattern of the storage battery 14. Conversely, when it determines that there is a shortage 62, the procurement management module 16B accesses the memory to determine the type of the combined demand pattern and the sunlight. The operation pattern (FIGS. 11E, 12E) of the storage battery 14 corresponding to the combination with the type of power generation pattern (FIGS. 11A and 11B, FIGS. 12A and 12B) is selected and read out.

The procurement management module 16B sets the selected operation pattern in the storage battery management module 16C. Battery management module 16C then optimizes the operating pattern. That is, the storage battery management module 16C corrects the operation pattern based on storage battery attributes such as the degree of deterioration of the storage battery, temperature, and charge/discharge efficiency, and/or when there is a plan to charge/discharge the storage battery for other purposes. After taking this in and adjusting the amount of discharge, the amount of charge, and/or the timing of charge/discharge to optimize the operation pattern, the storage battery 14 is operated based on the operation pattern.

Next, a fourth embodiment of the present invention will be described. This embodiment is characterized in that the storage battery consists of a plurality of units, and the rated output and rated capacity of the storage battery are apportioned to each of the plurality of units based on the operation history of each of the plurality of units. If the operation history (equivalent cycle number, SOH, etc.) differs for each of the multiple units, in order to improve the conversion efficiency of the multiple units as a whole and avoid operational restrictions, multiple units according to the operation history of each of the multiple units of the unit operation must be apportioned.

FIG. 13 is a functional block diagram of this embodiment, and the storage battery 14 includes a plurality of storage battery units (1 to X). The storage battery management module 16C of the EMS 16 collects time-series data of battery information for each of a plurality of units. Record updates. The storage battery management module 16C utilizes the number of equivalent cycles and SOH, which are indicators of battery soundness, as the operation history. The storage battery management module 16C reads the equivalent cycle number and SOH of each of the plurality of units at predetermined timings, and calculates an index for comparing the soundness of the storage battery for each unit. For example, the index is less than or equal to "1" and greater than "0", and the closer to "1", the healthier the unit is, for example, the less deteriorated. For the sake of convenience, this index is called the soundness factor. The storage battery management module 16C calculates health coefficients for each of a plurality of units at a predetermined timing, and updates and records the results in a memory management table.

A unit with a higher soundness coefficient can produce more capacity (kWh) with an output (kW) in a low-loss region, so the storage battery management module 16C operates by combining multiple units in descending order of the soundness coefficient. Therefore, the storage battery management module 16C accesses the management table at predetermined timings to read the soundness coefficients of each of the plurality of units. Next, the storage battery management module 16C ranks the plurality of units in descending order of health factor. FIG. 14 is an example of this ranking.

The storage battery management module 16C multiplies the rated output of each unit by the health factor for each unit and the rated capacity of each unit by the health factor for each unit for a plurality of units in order from the unit with the highest soundness factor. The plurality of units are selected in ranking order until the cumulative total of all the units exceeds the rated value of the storage battery. Next, the storage battery management module 16C sets a plan for the charging/discharging operation pattern of each of the plurality of units selected in this manner, and operates the plurality of units in combination based on the operation pattern during operation of the storage battery. In this way, the storage battery management module 16C preferentially operates a unit with a high soundness factor, thereby averaging the operation history of the entire plurality of units, improving the conversion efficiency of the plurality of units as a whole, and It is possible to reduce the risk of restrictions on the operation of

In addition, the storage battery management module 16C arranges the plurality of units in descending order of health coefficients, and uses units with high health coefficients (close to "1") for base discharge (discharge of large capacity). Units with low health factors (close to '0') may be used for fine-tuning discharge. Avoid penalties due to the difference between the plan (prediction) and the actual performance because units with low soundness coefficients (close to "0") are not included in the operation pattern and are used to adjust the supply-demand gap (deviation in supply-demand forecast) for the day. can be done. Furthermore, by reducing the frequency of use of units with low soundness coefficients (close to "0"), it is possible to prolong the life of the unit and, as a result, delay the timing of equipment renewal.

The present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Also, part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Moreover, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

Claims

An energy management system that manages the supply of electricity procured by an electricity retailer to consumers,
A computer system having a controller and a memory, wherein the controller executes an energy management program recorded in the memory,
The controller is
a demand management module that manages the power demand of the consumer;
a procurement management module that manages procurement of electricity by the retailer;
a storage battery management module that manages an industrial storage battery that charges power procured by the retailer and discharges the charged power to the consumer;
a power generation management module that manages the retailer's power generation equipment;
with
the demand management module predicts power demand patterns of the consumer;
The power generation management module predicts a power generation pattern of the power generation device,
The procurement management module calculates a power procurement pattern by the retailer based on the power demand pattern and the power generation pattern, determines a shortage of power procurement based on the power procurement pattern,
The storage battery management module sets an operation pattern of the storage battery so that the storage battery can discharge to compensate for the shortage of power procurement and charge for the discharge, and based on the operation pattern, the procurement management module operates the storage battery when procuring power,
Energy management system.
The procurement management module includes:
Procure the difference between the power demand of the consumer and the power generation amount of the power generation device from a power generation business operator,
Of the difference, procure from the power trading market the shortfall that cannot be procured from the power generation business operator;
The energy management system according to claim 1.
The storage battery management module executes an operation simulation of the storage battery based on the operation pattern, and limits the operation pattern when the attribute of the storage battery exceeds a predetermined limit value.
The energy management system according to claim 2.
the procurement management module procures electricity from the electricity market based on the operating pattern restrictions;
The energy management system according to claim 3.
The storage battery is a sodium-sulfur battery with an exothermic reaction during discharge,
The storage battery management module controls the discharge mode of the storage battery so that the temperature of the storage battery is within an optimum temperature range.
The energy management system according to claim 3 or 4.
The procurement management module includes:
When determining the shortage of power procurement,
The power procurement cost from the power trading market when supplementing the power shortage by charging/discharging from the storage battery, and the power procurement cost when the power shortage is procured from the power trading market without using the storage battery. and compare
When the former power procurement cost is lower than the latter power procurement cost, the operation pattern of the storage battery is formulated by the storage battery management module.
The energy management system according to any one of claims 1 to 5.
The procurement management module calculates the power procurement cost including the power for the auxiliary power amount of the storage battery.
The energy management system according to claim 6.
the demand management module selects a power demand pattern of the consumer from the memory;
The power generation management module selects a power generation pattern of the power generation device from the memory,
The procurement management module selects an operation pattern of the storage battery from the memory based on the power demand pattern and the power generation pattern.
The energy management system according to any one of claims 1-7.
The storage battery is composed of a plurality of units,
The storage battery management module
selecting a predetermined number of units from among the plurality of units based on the operation history of each of the plurality of units;
Combining the predetermined number of units and operating based on the operation pattern,
The energy management system according to any one of claims 1 to 8.
The storage battery is composed of a plurality of units,
The storage battery management module
calculating the soundness factor of each of the plurality of units based on the operation history of each of the plurality of units;
While setting the operation pattern by combining the plurality of units with the high health factor, units with the low health factor are not included in the operation pattern,
The energy management system according to any one of claims 1 to 8.
An energy management method for managing the supply of electric power procured by an electric power retailer to consumers, the computer system implementing the method comprising:
managing the power demand of the consumer;
manage the procurement of electricity by said retailer;
manages an industrial storage battery that charges power procured by the retailer and discharges the charged power to the consumer;
manage the retailer's power generation equipment;
Predicting the power demand pattern of the consumer,
Predicting the power generation pattern of the power generation device,
calculating a power procurement pattern by the retailer based on the power demand pattern and the power generation pattern, and determining a shortage of power procurement based on the power procurement pattern;
An operation pattern of the storage battery is set so that the storage battery can discharge to compensate for the shortage of power procurement and charge for the discharge, and the storage battery is operated when power is procured based on the operation pattern. do,
Energy management method.
A program that enables a computer to realize energy management for managing the supply of electricity procured by an electricity retailer to consumers, the computer comprising:
a demand management function that manages the power demand of the consumer;
a procurement management function for managing power procurement by the retailer;
A storage battery management function that manages an industrial storage battery that charges power procured by the retailer and discharges the charged power to the consumer;
a power generation management function that manages the retailer's power generation device;
to realize
The demand management function predicts the power demand pattern of the consumer,
The power generation management function predicts a power generation pattern of the power generation device,
The procurement management function calculates a power procurement pattern by the retailer based on the power demand pattern and the power generation pattern, determines a shortage of power procurement based on the power procurement pattern,
The storage battery management function sets an operation pattern of the storage battery so that the storage battery can discharge to compensate for the shortage of power procurement and charge for the discharge, and based on the operation pattern, the procurement management function operates the storage battery when procuring power,
program.