JP2023163578A - Virtual power storage management system, and virtual power storage management method - Google Patents

Abstract

To provide a virtual power storage management system for adjusting power demand based on an instruction from a system, using a plurality of physical battery energy storage systems (BESS), and virtual BESS integrally controlled with those systems as a group.SOLUTION: A virtual power storage management system 100 comprises a virtual BESS control part 14 for determining a charging/discharging command by selecting applicable power transaction needs based on average SOC (State Of Charge) of physical BESS arranged in a management area; a dispersed BESS control part 21 for determining standby SOC of each physical BESS from the charging/discharging command, based on a property of each physical BESS arranged in the management area; and a BESS control part 31 for controlling SOC of the physical BESS based on the standby SOC from the dispersed BESS control part 21 while transmitting a battery state based on individual operation data of the physical BESS to the dispersed BESS control part.SELECTED DRAWING: Figure 1

Description

The present invention relates to a virtual power storage management system and a virtual power storage management method.

In order to suppress CO ₂ emissions, it is necessary to increase the proportion of renewable energies such as solar power generation and wind power generation instead of fossil fuels as energy sources for electricity generation. When thermal power generators are disconnected from the grid, the ability to supply regulating power to stabilize the grid against fluctuations in demand decreases. On the other hand, each renewable energy generator may be equipped with a battery to alleviate fluctuations in its own power generation value. If this battery capacity can be used as a regulating force, it can contribute to grid stability.

In addition, energy resource aggregation businesses that utilize energy resources owned by power consumers, such as solar power generation and cogeneration, are attracting attention. The aggregation business utilizes a system called a virtual power plant (VPP), which bundles each energy resource using advanced energy management technology using IoT and functions as if it were a single power plant.

Patent Document 1 describes that, as a control device in a virtual power plant, individual battery energy storage systems (BESS) having a relatively low state of charge (SOC) to individual battery energy storage systems (BESS) having a relatively low state of charge (SOC) are used as a control device in a virtual power plant. was programmed to adjust each individual BESS's charging rate to have the charging rate balanced by transmitting to the BESS's via an identified subset of transmission lines that have a lower load scale. A control device is disclosed.

US Patent No. 1,056,803

Patent Document 1 does not disclose an operating method when the types of batteries arranged in each BESS are different. In addition, there are no disclosures regarding the operation methods for each energy generation, specifically when newly manufactured and installed BESS and BESS that make secondary use of used batteries used in electric vehicles, etc. coexist. Not yet. Since the optimal SOC for a standby state differs depending on the battery type and generation, there is a problem that an optimal standby state cannot be achieved only by balanced charging rates. In addition, there is a problem in that energy loss occurs when appropriate balancing (equilibrium) charging and discharging is performed between power storage systems.

The present invention was made in order to solve the above-mentioned problems, and uses a plurality of physical BESSs and a virtual BESS (Virtual BESS; VBESS) that integratedly controls them as a group, based on commands from the system. An object of the present invention is to provide a virtual power storage management system and a virtual power storage management method that can adjust power supply and demand.

In order to achieve the above object, the virtual power storage management system of the present invention uses a plurality of physical BESSs and a virtual BESS that integrally controls them as a group to control power supply and demand based on grid commands that are commands from the grid. A virtual power storage management system for adjusting a standby SOC, which is a standby SOC (State of Charge) of each physical BESS, based on the characteristics of each physical BESS controlled by the virtual power storage management system. A distributed BESS control unit to determine and a battery state based on individual operation data of the physical BESS are transmitted to the distributed BESS control unit, and the SOC of the physical BESS is controlled based on the standby SOC from the distributed BESS control unit. The present invention is characterized by having a BESS control unit. Other aspects of the present invention will be explained in the embodiments described below.

According to the present invention, power supply and demand can be adjusted based on commands from the grid using a plurality of physical BESSs (Battery Energy Storage Systems) and a virtual BESS (VBESS) that is integrated and controlled as a group.

1 is a diagram illustrating an example of a virtual power storage management system according to an embodiment. FIG. 3 is a diagram showing details of a distributed BESS control unit. FIG. 3 is a control block diagram of a distributed BESS control unit. It is an example of the control block diagram of a physical calculation part. FIG. 3 is a diagram showing changes in performance over time in BESSs with different characteristics and usage histories. FIG. 7 is a diagram showing a battery deterioration state when the standby SOC of a comparative example is equalized. It is a figure which shows the battery deterioration state when standby SOC of this invention is distributed. It is a figure showing the problem and the effect when applying the technology of the present invention.

Embodiments for implementing the present invention will be described in detail with reference to the drawings as appropriate.
FIG. 1 is a diagram illustrating an example of a virtual power storage management system 100 according to an embodiment. The virtual power storage management system 100 is a virtual power storage management system for adjusting power supply and demand based on commands from the grid using a plurality of physical BESSs and a virtual BESS (VBESS) that integrally controls these as a group. be. Note that the physical BESS is used to distinguish it from a virtual BESS (VBESS), and refers to an actual BESS.

The virtual power storage management system 100 is composed of a first tier L1, a second tier L2, and a third tier L3. The first layer L1 is a layer mainly targeted at VPP operators (virtual power plant operators) and resource aggregators. The second layer L2 is a layer mainly targeted at resource aggregators, and is a layer that centrally manages a plurality of BESSs distributed in each region. The third layer L3 is a layer mainly targeted at battery owners (consumers) who own one or more BESSs (physical BESSs). Owner, etc. In the figure, there are two second management sections in the L2 layer below the L1 layer, and two third management sections in the L3 layer below that, but there is no limit to the number of branches; However, there may be three or more. Furthermore, the dividing boundary between the plurality of management units existing in the same layer may be based on physical constraints (division by region or owner) or functional constraints (such as the scale of current handled).

Note that the first layer L1, the second layer L2, and the third layer L3 may be managed by different administrators, or may be managed by the same administrator.

The first management unit 10 exchanges transaction permission responses with the transaction market 200. In addition to the first management department 10, power transmission and distribution companies 310, retail companies 320, power generation companies 330, etc. participate in the trading market 200, and power transactions are carried out according to the power supply and demand needs of these companies. Ru. For example, when each business has a surplus of electricity, BESS owners and managers charge the BESS, and conversely, when there is a shortage of electricity, the BESS discharges electricity from the BESS in order to stabilize the power grid. carry out transactions. Here, the first management unit 10 of the first layer L1 selects the power trading needs that can be met based on the SOC of the virtual BESS obtained by averaging the SOC of the individual physical BESS, and transfers the power trading needs to the lower layers (L2, L3 layer). It has the function of issuing charge/discharge commands.

The second management unit 20 of the second hierarchy L2 has a function of determining the SOC in the standby state of each physical BESS, considering the characteristics (life span, input/output) of the physical BESSs arranged in the third hierarchy L3, and It has a function of distributing charging and discharging patterns of each physical BESS based on discharge commands.

The third management unit 30 of the third layer L3 diagnoses the battery condition (SOC, remaining life, resistance, allowable power amount, etc.) from the operation data (time series data of voltage, current, and temperature) of the battery owner's BESS, It has a function of collectively transmitting the information to the second layer L2.

The details of each management section will be explained below.
The first management unit 10 serves as a processing unit, and includes a transaction management unit 11 that manages transactions with the transaction market 200, and a menu of power trading services (for example, frequency adjustment, peak shift, and peak cut) that can be provided by the virtual BESS. a service management unit 12 that manages the correspondence between the power trading service and the virtual BESS used, a service resource management unit 13 that manages the correspondence between the power trading service and the virtual BESS used, and a virtual BESS control unit 14 that issues control commands, etc. to the distributed BESS control unit 21 of the second management unit 20. .

The database 17 of the first management unit 10 stores various information in the processing unit, including SLA (Service Level Agreement) information 171, which is the default conditions of the power trading service and service and maintenance conditions for each contract conclusion; Transaction service information 172, which is a menu of power trading services that can be provided by VBESS, service resource information 173, which is the correspondence between the power trading service and the virtual BESS used, and the total SOC (total) of the physical BESS existing in the third layer L3. There is virtual BESS_SOC information 174, which is information about the total electrical capacity Ah that is actually charged, with respect to the exchangeable electrical capacity Ah.

The second management unit 20 considers the characteristics (SOC, remaining life, resistance, allowable power, etc.) of the physical BESSs arranged in the third management unit 30, and determines the standby SOC of each BESS until a charging/discharging command arrives. The distributed BESS control unit 21 distributes and controls the charging and discharging patterns of each BESS when a charging/discharging command arrives, and the distribution information of the SOC of the physical BESS managed by each distributed BESS control unit (SOC is 0% of the entire physical BESS) The electric capacity of the BESS in the range from △% is xxAh, etc.).

The third management unit 30 includes a BESS control unit 31 that collects information from the BESS 32, which is a physical BESS owned by the battery owner, and the life diagnosis unit 321 of the BESS 32 that is under the management of the battery owner, and transmits the information to the second management unit 20. , has physical BESS_SOC information 37 which is SOC information of BESS owned by the battery owner. In addition to the battery body, the BESS 32 includes a life diagnosis section 321 and SOH information 322. The life diagnosis unit 321 is a part that diagnoses the remaining life of each individual BESS, and diagnoses the battery condition (remaining life, resistance) from the operation data (time series data of voltage, current, and temperature) of the battery owner's BESS 32. . Note that SOH is an abbreviation for State of Health, and is an index representing the state of health or deterioration. The ratio of battery capacity (Ah) remaining after a certain period of time to the initial battery capacity (Ah) is SOHQ or SOHC, and the ratio of increase in resistance (Ω) after a certain period of time to initial resistance (Ω) is SOHR. It is customary to express it as a percentage.

Here, the relationship between the virtual BESS control unit 14, the distributed BESS control unit 21, and the BESS control unit 31 will be explained.
(2nd layer L2 → 1st layer L1)
The virtual BESS control unit 14 receives, from the distributed BESS control unit 21, SOC information of the entire physical BESS under the management of the distributed BESS control unit 21.
(1st layer L1 → 2nd layer L2)
The virtual BESS control unit 14 determines an appropriate current distribution command to the L2 layer in response to transaction needs, and transmits it to the distributed BESS control unit 21.
(3rd layer L3 → 2nd layer L2)
The BESS control unit 31 transmits the battery status such as SOH and SOC information of the physical BESS owned by the battery owner to the distributed BESS control unit 21.
(2nd layer L2 → 3rd layer L3)
The distributed BESS control unit 21 determines the SOC and current distribution command for equalizing the lifespan of the physical BESSs managed by one distributed BESS control unit 21, and transmits the determined SOC and current distribution command to the BESS control unit 31. .

FIG. 2A is a diagram showing details of the distributed BESS control unit 21. FIG. 2A shows the relationship with the physical BESS managed by one distributed BESS control unit 21 in FIG. The distributed BESS control unit 21 includes a standby SOC/current distribution determination unit 211 and a physical model calculation unit 212. Here, current distribution is shown as an example of a charge/discharge distribution command for distributing a charge/discharge command to a virtual BESS to a charge/discharge pattern of each physical BESS.

FIG. 2B is a control block diagram of the distributed BESS control unit 21.
The physical model calculation unit 212 analyzes the assumed current distribution pattern, extracts deterioration accelerating factors (for example, current, center SOC, ΔSOC, temperature) that affect battery deterioration, and uses the specified current distribution pattern to extract deterioration acceleration factors that affect battery deterioration. Predict the deterioration of a battery when it is repeatedly charged and discharged. There are several methods for predicting battery deterioration, including a method of predicting from an empirical formula for the target battery and a method of predicting from a physical model formula that takes into account the deterioration of each material inside the battery. In the latter, the extracted deterioration acceleration factor is inserted into the equation (deterioration prediction formula) that indicates the time dependence of the parameter that indicates the deterioration of each material to predict the change over time of each deterioration parameter, and the predicted future deterioration parameter value is calculated. Calculate battery performance (capacity, resistance) from , predict SOH, etc., and obtain information on remaining BESS life.

The standby SOC/current distribution determining unit 211 instructs the BESS control unit 31 to instruct current distribution and standby SOC for the physical BESS managed by the distributed BESS control unit 21 based on the life prediction data from the physical model calculation unit 212.

The feature of this embodiment is that the standby SOC is not uniformly set, but the standby SOC is given to each physical BESS in consideration of the materials used for the batteries in each physical BESS and the remaining life of each BESS. be. For example, BESS_A is a command for a higher standby SOC, and BESS_B is a command for a lower standby SOC. Furthermore, BESS_C is set as an intermediate standby SOC compared to BESS_A and BESS_B. Furthermore, the standby SOC can be changed according to changes in the performance of each BESS over time.

FIG. 3 is an example of a control block diagram of the physical model calculation unit 212. A physical model calculation unit 212 included in one of the embodiments of the present invention includes an input 51, an internal deterioration parameter calculation block 52 (a deterioration parameter rate map reference unit 521, a deterioration parameter calculation unit 522), a capacitance and an internal resistance. calculation block 53, SOH calculation block 54, and output 55.

(Processing S1)
The input 51 analyzes an assumed current distribution pattern, extracts feature quantities that influence battery deterioration (for example, current, center SOC (standby SOC), ΔSOC, temperature) and uses the extracted characteristics as input.

(Processing S2)
In the internal deterioration parameter calculation block 52, each deterioration parameter is calculated by inputting the feature amount of the input 51 into the equation (deterioration prediction formula) that shows the time dependence of the parameter (deterioration parameter) that shows the deterioration of each material inside the battery. Predict changes over time. Here, the deterioration parameters are not limited, but include the utilization efficiency of the active material used for the positive electrode and negative electrode (m _p , m _n ), the amount of lithium ion deactivation due to film formation on the surfaces of the positive electrode and negative electrode (δ _p , δ _m ), The ohmic resistance (R _o ) of the battery member, the resistivity (a _p , _an ) of the positive electrode and negative electrode materials, etc. can be increased. Further, the expression expressing the time dependence of the deterioration parameter is not limited to one. An example is shown in equation (1).

ここで、t：時間、
a₀、a_n、k_n (n：1～Nの整数、Nは任意)：電池の劣化加速因子に依存した値である。ここでのa₀、a_n、k_nも、電池の稼働条件(電流、中心SOC、ΔSOC、T_batt)に依存する値であり、それを関数として表記したものがg、h、l関数となる。その関数の形は電池の種類によって変わってくる。
a₀＝g(I、SOC、ΔSOC、T_batt),
a_n＝h(I、SOC、ΔSOC、T_batt),
k_n＝l(I、SOC、ΔSOC、T_batt)
である。なお、Iは電流、SOCは中心ＳＯＣ（待機ＳＯＣ）、ΔSOCは充放電時のSOC幅、T_battは電池温度である。

Here, t: time,
a ₀ , a _n , k _n (n: an integer from 1 to N, N is arbitrary): Values depending on the battery deterioration acceleration factor. Here, a ₀ , a _n , and k _n are also values that depend on the operating conditions of the battery (current, center SOC, ΔSOC, and T _batt ), and their expression as functions is g, h, and l functions. Become. The shape of the function varies depending on the type of battery.
a ₀ = g(I, SOC, ΔSOC, T _batt ),
a _n = h(I, SOC, ΔSOC, T _batt ),
k _n = l(I, SOC, ΔSOC, T _batt )
It is. Note that I is the current, SOC is the center SOC (standby SOC), ΔSOC is the SOC width during charging and discharging, and T _batt is the battery temperature.

The form of the formula for the g, h, and l functions is the product α×(I^β)×(SOC^γ)×(ΔSOC^δ)×exp(-η/T _batt ) of the powers of each factor, or the simple It can also be expressed in a linear form (α + β × I + γ × SOC + δ × ΔSOC + η × T _batt ). Here, α, β, γ, δ, and η are coefficients (specific values are determined by fitting).

(Processing S3)
The capacity and internal resistance calculation block 53 calculates battery performance (capacity, resistance) from the future deterioration parameter values predicted in process S2, and the SOH calculation block 54 calculates remaining life information of the SOH.

FIG. 4 is a diagram showing changes in performance over time in BESSs with different characteristics and usage histories. The performance here includes power storage capacity (Ah), input/output power amount (W, Wh), and the like. FIG. 4 shows the characteristics and effects of one form of BESS charge/discharge management performed in the second layer L2.
The distributed BESS control unit 21 in FIGS. 1 and 2A executes charging and discharging management according to a menu of power trading services (eg, frequency adjustment, peak shift, peak cut). Examples of charge/discharge management include battery state management for enabling charge/discharge of BESS for multi-use energy management, and BESS selection in consideration of requested load patterns. Here, multi-use energy management refers to energy management for collectively receiving transactions with different requests such as peak cut and frequency adjustment in the figure. It is difficult to handle complex charge/discharge patterns to meet this demand with one type of homogeneous BESS group, but it can be handled by integrated management of a heterogeneous BESS group with different input/output characteristics and standby SOC.

The distributed BESS control unit 21 in FIGS. 1 and 2A is characterized in that it does not set the standby SOC equally, but takes into consideration the lifespan of each physical BESS and instructs the standby SOC to each physical BESS. . For example, BESS_A is a command for a higher standby SOC, and BESS_B is a command for a lower standby SOC. Furthermore, BESS_C is set as an intermediate standby SOC compared to BESS_A and BESS_B. Therefore, BESS_A can utilize a large amount of storage capacity for discharging. BESS_B can use a large amount of storage capacity for charging, so BESSA can respond to power shortages in the grid, and BESSB can respond to power surplus needs, accepting a wide range of charging and discharging instructions. becomes possible.

In addition, in the embodiment of the present invention, in the secular change chart 40 in FIG. By concentrating the current while increasing the SOC and relatively relaxing the current flowing to others, it is possible to maintain a balance with other BESS deterioration degrees. The deterioration rate of BESS_A, where the load is relatively concentrated, increases, and as a result, it is equalized. By equalizing the deterioration state in this way, battery maintenance and replacement can be carried out efficiently, and opportunities for charging and discharging transactions for BESS owners can be increased.

In this embodiment shown in FIG. 4, BESS_C maintains the standby SOC relatively low and performs current distribution for charging and discharging while suppressing deterioration. equalization of deterioration can be achieved. If the BESS_C is a used battery that was obtained cheaply and used at a high standby SOC, it will deteriorate quickly and will eventually need to be replaced frequently. On the other hand, by taking life into consideration and using it at a lower standby SOC as in this embodiment, a long life is possible. In this way, by adopting this embodiment, it is possible to efficiently reuse cheap used batteries, which are expected to be generated in large quantities in the future, and to effectively utilize resources and reduce the CO2 required for recycling/remanufacturing. Not only can it contribute to improving environmental value such as reducing emissions, but it can also reduce the TCO (Total Cost Ownership) of BESS owners through the distribution of inexpensive used batteries.

FIG. 5 is a diagram showing the battery deterioration state when the standby SOC of the comparative example is equalized. FIG. 6 is a diagram showing a battery deterioration state when the standby SOC of the present invention is distributed.

In the case of the comparative example shown in FIG. 5, the standby SOC/current distribution determining unit 211 uniformly controls the standby SOC. When the positive electrode material used in BESS_A is an NCM (Li(Ni-Mn-Co) ₂ : nickel cobalt manganese oxide) battery, storage deterioration is severe due to standby at a high SOC. On the other hand, when BESS_B is an LFP (LiFePO ₄ : lithium iron phosphate) battery with a low positive electrode potential, the voltage change is small with respect to the SOC, and storage deterioration is unlikely even at a high SOC. When BESS_C is an LMO (LiMnO ₂ : lithium manganese oxide) battery, battery deterioration is particularly likely to occur near SOC 50% (predetermined value). Even if deterioration state diagnosis and prediction are carried out in each BESS, the information is not managed all at once, so a particular BESS will have a long lifespan, but BESS deterioration in other batteries will be noticeable, and this The TCO for BESS owners who own this will be greatly reduced.

In the case of the present embodiment shown in FIG. 6, the standby SOCs are intentionally distributed based on life prediction. That is, the standby SOC/current distribution determining unit 211 performs imbalance control on the standby SOC. If BESS_A is an NCM (nickel cobalt manganese oxide) battery, it is on standby at a low SOC (~10%) with little deterioration. Therefore, deterioration of the battery during standby can be suppressed. If BESS_B is an LFP (lithium iron phosphate) battery, it is resistant to storage deterioration even at high SOC, so it is on standby at high SOC (~80%). When BESS_C is an LMO (lithium manganese oxide) battery, it is not on standby near SOC 50% (predetermined value), but on standby at a high SOC (up to 60%). Therefore, deterioration of the battery can be suppressed. Although this embodiment uses three different BESSs for simplicity, the number of BESSs to be handled may be greater than this. By comprehensively considering the deterioration trends for the standby SOCs of many different types of BESSs and the deterioration trends due to the distributed charging/discharging current, the second management department can respond to various charging and discharging commands from the first management department. The degree of deterioration of BESS managed below can be made uniform.

FIG. 7 is a diagram showing the problem and the effect when applying the technology of the present invention. In Figure 7, issues and solutions are shown for each target audience.
For BESS owners, if uniform control is performed without considering the deterioration characteristics of each battery, there is a possibility that a specific cell will deteriorate, resulting in a loss of business opportunities for the BESS owner who owns the cell. Therefore, in this embodiment, deterioration is suppressed by using an SOC distribution that is unequal according to the deterioration characteristics of each battery. Low SOC standby products are difficult to discharge, but can handle charging. In response to the discharge command, trade opportunities can be maintained by having other batteries handle the discharge.

For BESS suppliers/owners, if battery life is not taken into account, the EoL (End of life) of each BESS will vary, and maintenance and replacement will be required each time. Therefore, in this embodiment, the EoL of the BESS can be adjusted in a planned manner, which enables planned maintenance.

In the case of a VPP operator/aggregator, if all standby SOCs are available, the voltage may easily exceed the allowable range due to extremely rapid charging or rapid discharging, which may result in loss of business opportunities. occurs. Therefore, in this embodiment, receptivity to market demands can be improved by allocating high-speed charging to BESSs that are on standby at a low SOC and high-speed discharging to BESSs that are on standby at a high SOC.

The virtual power storage management system of this embodiment has the following features.
(1) A virtual system that uses multiple physical BESSs (Battery Energy Storage Systems) and a virtual BESS (VBESS) that integrates and controls them as a group to adjust the power supply and demand based on grid commands, which are commands from the grid. A distributed BESS control unit that is a power storage management system and determines a standby SOC (State of Charge) of each physical BESS based on characteristics of each physical BESS controlled by the virtual power storage management system. 21, and a BESS control unit 31 that transmits the battery status based on individual operation data of the physical BESS to the distributed BESS control unit and controls the SOC of the physical BESS 32 based on the standby SOC from the distributed BESS control unit 21. . According to this, power supply and demand can be adjusted based on commands from the grid using a plurality of physical BESSs 32 and a virtual BESS that is integrated and controlled as a group. Here, the average SOC (SOC of the virtual BESS) can be defined, for example, as a ratio of the total dischargeable capacity to the total battery capacity of each physical BESS managed by the virtual power storage system.

(2) The virtual power storage management system further selects the charge/discharge needs that can be handled based on the total dischargeable capacity and the total chargeable capacity of the physical BESS32 controlled by the virtual power storage management system, and The distributed BESS control unit 21 has a virtual BESS control unit 14 that determines charging and discharging commands for each physical BESS, and the distributed BESS control unit 21 determines charging and discharging distribution commands for each physical BESS based on the charging and discharging commands and the characteristics. A charging/discharging distribution command for the physical BESS 32 managed by the BESS control unit 31 is issued to the physical BESS 32 .

(3) The distributed BESS control unit 21 determines a standby SOC and a charging/discharging distribution command for equalizing the lifetimes of the physical BESSs 32 managed by the virtual power storage management system. The distributed BESS control unit 21 instructs the BESS control unit 31 to perform SOC and current distribution in order to equalize the lifetimes of the physical BESSs 32 that it manages. As a result, the EoL (End of life) of the BESS can be adjusted in a planned manner, so planned maintenance can be performed.

(4) The distributed BESS control unit 21 can individually set the standby SOC of the physical BESS 32 based on the allowable range (current, voltage) of each physical BESS 32 and the history of past system commands.

(5) The distributed BESS control unit 21 can determine the standby SOC based on the assumed charge/discharge distribution command.

(6) The distributed BESS control unit 21 has a physical model calculation unit 212 that predicts the lifespan of the physical BESS 32, and the physical model calculation unit 212 calculates the characteristic quantity ( Example: Current, voltage (center SOC), ΔSOC, temperature) are extracted (see process S1), and the extracted features are converted into a formula (deterioration prediction formula) that indicates the time dependence of parameters that indicate deterioration of each material inside the battery. It is possible to predict the change over time of each deterioration parameter by inputting the number of deterioration parameters (see process S2), calculate battery performance (capacity, resistance) from the predicted future deterioration parameter values, and obtain remaining life information (process (See S3).

(7) The distributed BESS control unit 21 sets a standby SOC different from the predetermined value when the battery used for the physical BESS 32 is likely to become inactive due to standby at a predetermined SOC. Thereby, deterioration of the battery can be suppressed.

(8) The distributed BESS control unit 21 sets a standby SOC higher than the predetermined value when the battery used for the physical BESS 32 is unlikely to deteriorate due to standby at an SOC higher than the predetermined value. Thereby, deterioration of the battery can be suppressed.

(9) If the battery used in the physical BESS 32 is likely to deteriorate due to standby at an SOC higher than a predetermined value, the distributed BESS control unit 21 sets a standby SOC lower than the predetermined value.

(10) When the physical BESS 32 to manage includes a used battery, the distributed BESS control unit 21 controls the standby SOC and charging/discharging to suppress the rate of performance deterioration of the used battery and equalize the lifespan of the multiple BESSs to manage. Issue a distribution command.

(11) A virtual power storage management method for adjusting power supply and demand based on commands from the grid using a plurality of physical BESSs (Battery Energy Storage Systems) and a virtual BESS that integrally controls them as a group, , a virtual BESS control step that selects a charge/discharge transaction need that can be handled based on the total dischargeable capacity and total chargeable capacity of physical BESSs placed in the management area and determines a charge/discharge command; A distributed BESS control step that determines the standby SOC of each physical BESS based on the characteristics of each physical BESS placed in the physical BESS and assumed charge/discharge commands, and a distributed BESS control step that controls the battery status based on individual operation data of the physical BESS. and a BESS control step for controlling the SOC of the physical BESS based on the standby SOC from the distributed BESS control step. According to this, power supply and demand can be adjusted based on commands from the grid using a plurality of physical BESSs 32 and a virtual BESS that is integrated and controlled as a group. Here, the total dischargeable capacity of the physical BESSs placed in the management area refers to the battery capacity of the physical BESSs (the amount of electricity that can be discharged between the upper limit voltage and lower limit voltage of each BESS, which is set in advance for product safety). ) and the average SOC. Further, the total chargeable capacity can be expressed as the difference between the total battery capacity of the physical BESS and the total dischargeable capacity.

In the present embodiment, in (1) above, the configuration includes the virtual BESS control unit 14, the distributed BESS control unit 21, and the BESS control unit 31, but the configuration is not limited thereto. For example, an energy storage management system that uses multiple physical BESSs (Battery Energy Storage Systems) and BESSs that are integrated and controlled as a group to adjust power supply and demand based on commands from the grid, and is located in a managed area. The distributed BESS control unit 21 determines the standby SOC of each physical BESS from the charging/discharging command based on the characteristics (life, input/output) of each physical BESS 32, and the individual operating data (voltage, current, temperature) of the physical BESS 32. BESS control that diagnoses the battery condition (remaining life, SOC) from the time-series data of It is good also as a structure which has the part 31. According to this, it is possible to adjust the power supply and demand based on a command from the grid using a plurality of physical BESSs 32 and a BESS that is integrated and controlled as a group.

10 First management unit 11 Transaction management unit 12 Service management unit 13 Service resource management unit 14 Virtual BESS control unit 17 Database 20 Second management unit 21 Distributed BESS control unit 211 Standby SOC/current distribution determination unit 212 Physical model calculation unit 27 Distributed BESS_SOC information 30 Third management department (BESS holder)
31 BESS control unit 32 BESS (physical BESS)
37 Physical BESS_SOC information 51 Input 52 Internal deterioration parameter calculation block 53 Capacity and internal resistance calculation block 54 SОH calculation block 55 Output 100 Virtual power storage management system 171 SLA information 172 Transaction service information 173 Service resource information 174 Virtual BESS_SOC information 200 Transaction market 310 Power transmission and distribution company 320 Retail company 321 Life diagnosis section 322 SOH information 330 Power generation company 521 Deterioration parameter rate map reference section 522 Deterioration parameter calculation section BESS Battery Energy Storage System
L1 1st layer L2 2nd layer L3 3rd layer SOC State Of Charge
SOH State of Health
VBESS Virtual BESS (Virtual BESS)

Claims (11)

This is a virtual power storage management system that uses multiple physical BESSs (Battery Energy Storage Systems) and a virtual BESS that integrates and controls them as a group to adjust power supply and demand based on grid commands, which are commands from the grid. hand,
a distributed BESS control unit that determines a standby SOC that is a standby SOC (State of Charge) of each physical BESS based on the characteristics of each physical BESS controlled by the virtual power storage management system;
a BESS control unit that transmits a battery state based on individual operation data of the physical BESS to the distributed BESS control unit, and controls the SOC of the physical BESS based on the standby SOC from the distributed BESS control unit. A virtual power storage management system characterized by: The virtual power storage management system further selects the charge/discharge needs that can be handled based on the total dischargeable capacity and the total chargeable capacity of the physical BESSs controlled by the virtual power storage management system, and It has a virtual BESS control unit that determines BESS charging and discharging commands,
The distributed BESS control unit determines a charge/discharge distribution command to each physical BESS based on the charge/discharge command and the characteristics, and instructs the BESS control unit to instruct the physical BESSs managed by the BESS control unit. The virtual power storage management system according to claim 1, wherein the charge/discharge distribution command is issued. 3. The distributed BESS control unit determines the standby SOC and the charging/discharging distribution command for equalizing the lifetimes of the physical BESSs managed by the virtual power storage management system. Virtual power storage management system. The virtual system according to claim 1, wherein the distributed BESS control unit individually sets the standby SOC of the physical BESS based on an allowable range of each physical BESS and a history of the past system commands. Power storage management system. The virtual power storage management system according to claim 2, wherein the distributed BESS control unit determines the standby SOC based on the assumed charge/discharge distribution command. The distributed BESS control unit includes a physical model calculation unit that predicts the lifespan of the physical BESS,
The physical model calculation unit includes:
Extracting feature quantities that affect battery deterioration from the assumed charge/discharge distribution command,
Predicting changes over time in each deterioration parameter by inputting the extracted feature amounts into a deterioration prediction formula that indicates the time dependence of parameters that indicate deterioration of each material inside the battery,
The virtual power storage management system according to claim 2, wherein remaining life information is obtained by calculating battery performance from predicted future deterioration parameter values. 2. The distributed BESS control unit sets a standby SOC different from the predetermined value when the battery used in the physical BESS is likely to deteriorate due to standby at a predetermined SOC. virtual power storage management system. The distributed BESS control unit sets a standby SOC higher than the predetermined value when the battery used for the physical BESS is unlikely to deteriorate due to standby at an SOC higher than the predetermined value. A virtual power storage management system as described. The distributed BESS control unit sets a standby SOC lower than the predetermined value when the battery used for the physical BESS is likely to deteriorate due to standby at an SOC higher than the predetermined value. A virtual power storage management system as described. When the physical BESS to be managed includes a used battery, the distributed BESS control unit controls the standby SOC and the charging/discharging system for suppressing the rate of performance deterioration of the used battery and equalizing the lifetimes of the plurality of BESSs to be managed. The virtual power storage management system according to claim 2, wherein the virtual power storage management system issues a distribution command. A virtual power storage management method for a virtual power storage management system for adjusting power supply and demand based on commands from the grid using multiple physical BESSs (Battery Energy Storage Systems) and a virtual BESS that integrally controls them as a group. And,
a distributed BESS control step of determining a standby SOC of each physical BESS based on the characteristics of each physical BESS controlled by the virtual power storage management system;
a BESS control step of transmitting a battery state based on individual operation data of the physical BESS to the distributed BESS control step, and controlling the SOC of the physical BESS based on the standby SOC from the distributed BESS control step. A virtual power storage management method characterized by:

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