CN117314598B

CN117314598B - Energy storage equipment lease capacity adjustment method and device and storage medium

Info

Publication number: CN117314598B
Application number: CN202311617725.0A
Authority: CN
Inventors: 刘才源
Original assignee: Shenzhen Haichen Energy Storage Technology Co ltd; Xiamen Hithium Energy Storage Technology Co Ltd
Current assignee: Shenzhen Haichen Energy Storage Technology Co ltd; Xiamen Hithium Energy Storage Technology Co Ltd
Priority date: 2023-11-30
Filing date: 2023-11-30
Publication date: 2024-03-12
Anticipated expiration: 2043-11-30
Also published as: CN117314598A

Abstract

The application provides a method, a device and a storage medium for adjusting leasing capacity of energy storage equipment. According to the method, whether the area where the energy storage equipment is located is suitable for using the capacity lease adjustment mode or not is determined by setting the first economic benefit evaluation model and the second economic benefit evaluation model, and under the condition that the capacity lease adjustment mode is started, the economic benefit of the energy storage equipment is improved by leasing part or all of the capacity of the energy storage equipment and selling electricity at the wave crest and storing electricity at the wave trough.

Description

Energy storage equipment lease capacity adjustment method and device and storage medium

Technical Field

The present disclosure relates to the field of shared energy storage technologies, and in particular, to a method, an apparatus, and a storage medium for adjusting leasing capacity of an energy storage device.

Background

The renewable energy industry is rapidly evolving. The permeability of renewable energy sources in a power distribution network is continuously improved, and a series of risks and challenges are brought, so that the stable, reliable and efficient operation of a power system is threatened. However, with the gradual expansion of the installation scale of each industry, the energy storage industry gradually exposes the disadvantages of lack of overall planning, low utilization rate, single business mode, limited profit level and the like, which is unfavorable for the development of the market. Therefore, the operation mode of energy storage is reasonably improved, and the utilization rate of the energy storage is improved at the same time, so that the coordinated development of renewable energy sources and the energy storage industry is promoted.

The energy storage device generally creates benefits in the form of wave crest electricity selling and wave trough electricity storing, but the profit mode is too single, and when electricity prices in the electric power market fluctuate, the profit rate of the energy storage device can be influenced, so that a mode of sharing energy storage appears in the market.

The shared energy storage is leased by a capacity leasing method to provide a more flexible novel energy storage supply. As an innovative form of energy storage, the shared energy storage has the advantages of promoting new energy consumption, flexible and efficient operation and scheduling, controllable safety quality and more remarkable economic benefit, and has wide development prospect in an electric power system.

In the conventional renting of the energy storage device, only the capacity and the power of the device are generally considered, and the influence of factors such as electricity price information of the area where the device is located, charge and discharge times and power of the device is ignored. This makes the economic benefit assessment of the energy storage device inaccurate and comprehensive, and also affects the competitiveness of the device in the electricity market.

Disclosure of Invention

The method, the device and the storage medium for adjusting the leasing capacity of the energy storage equipment can accurately evaluate economic benefit rates under different target states, and can more flexibly adjust the leasing capacity of the energy storage equipment, so that the economic benefit of the energy storage equipment is improved, and the intelligence and pertinence of equipment on one side of the energy storage equipment are improved.

In a first aspect, the present application provides a method for adjusting rental capacity of an energy storage device, the method being applied to an energy storage system, the energy storage system including a plurality of energy storage devices, the method comprising:

receiving lease order information, wherein the lease order information comprises a lease period and lease capacity;

acquiring service data of the plurality of energy storage devices and electricity price information of areas where the plurality of energy storage devices are located, wherein the service data of the plurality of energy storage devices at least comprise energy capacity, power capacity or charge-discharge power of the energy storage devices, and the electricity price information comprises peak electricity price and trough electricity price;

inputting business data of a first energy storage device in the plurality of energy storage devices and electricity price information of an area where the first energy storage device is located into a preset first economic benefit evaluation model to obtain economic benefit rate of the first energy storage device in a first target state, wherein the first economic benefit evaluation model is used for evaluating economic benefit obtained by the energy storage device in a wave trough electricity storage peak electricity selling mode, and the first target state is used for representing a state that the energy storage device only carries out wave crest electricity selling and wave trough electricity storage;

acquiring a limit value of charge and discharge times of the first energy storage device in the lease period;

Inputting business data of the first energy storage device, a limit value of charge and discharge times of the first energy storage device in the lease period, electricity price information of an area where the first energy storage device is located, lease period and lease capacity into a preset second economic benefit evaluation model to obtain the economic benefit rate of the first energy storage device in a second target state; the second economic benefit evaluation model is used for evaluating the economic benefit obtained by the energy storage equipment through a target mode, the second target state is used for representing the state that the energy storage equipment leases part or all of the capacity, the target mode comprises a mode of selling electricity and leasing the capacity through a wave trough Chu Dianbo peak, or the target mode comprises a mode of leasing the capacity;

and under the condition that the economic benefit rate of the first energy storage equipment in the second target state exceeds the economic benefit rate of the first energy storage equipment in the first target state, sending a positive message corresponding to the lease order information, and starting a capacity lease adjustment mode, wherein the capacity lease adjustment mode is a mode for adjusting the configuration and/or the leased capacity of the energy storage equipment when the energy storage equipment is leased next time according to the condition of lease return.

According to the energy storage equipment lease capacity adjustment method, the business data of the energy storage equipment and the electricity price information of the area where the business data are located are input into the preset economic benefit evaluation model, so that the economic benefit rate in different target states is evaluated, whether to start the capacity lease investment return adjustment capacity lease adjustment mode is determined according to the comparison result of the economic benefit rate, a new profit way is provided for the energy storage equipment, the economic benefit rate of the energy storage equipment is improved, and further the intelligence and pertinence of equipment on one side of the energy storage equipment are improved.

In a further alternative embodiment of the first aspect, the method further comprises:

under the condition that a capacity lease adjustment mode is started, determining the actual economic benefit rate of the first energy storage equipment in the lease period based on the actual charge and discharge times of the first energy storage equipment in the lease period, service data of the first energy storage equipment in the lease period, electricity price information of an area where the first energy storage equipment is located and the lease capacity;

and comparing the actual economic benefit rate with the economic benefit rate of the first energy storage device in the first target state to adjust the capacity lease adjustment mode of the first energy storage device.

In yet another optional implementation manner of the first aspect, the comparing the actual economic benefit rate with the economic benefit rate of the first energy storage device in the first target state to adjust the capacity lease adjustment mode of the first energy storage device includes:

when the actual economic benefit rate exceeds the economic benefit rate of the first energy storage equipment in a first target state, and the actual charge and discharge times of the first energy storage equipment in the lease period are higher than a preset first threshold value, increasing the charge and discharge power of the first energy storage equipment in the next lease;

when the actual economic benefit rate exceeds the economic benefit rate of the first energy storage equipment in a first target state, and the actual charge and discharge times of the first energy storage equipment in the lease period are not higher than a preset first threshold value, increasing the lease capacity of the first energy storage equipment when the next lease is carried out;

determining whether the first energy storage equipment participates in the next capacity lease according to the actual charge and discharge times of the first energy storage equipment in the lease period when the actual economic benefit rate does not exceed the economic benefit rate of the first energy storage equipment in the first target state and the difference value of the two is smaller than a preset second threshold value;

If the actual charge and discharge times of the first energy storage device in the lease period exceeds the preset first threshold value, determining that the first energy storage device does not participate in the next capacity lease;

if the actual charge and discharge times of the first energy storage device in the lease period do not exceed the preset first threshold value, the charge and discharge power and/or lease capacity of the first energy storage device in the next lease are increased;

and under the condition that the actual economic benefit rate does not exceed the economic benefit rate of the first energy storage equipment in the first target state and the difference value of the actual economic benefit rate and the first energy storage equipment is larger than a preset second threshold value, determining that the first energy storage equipment does not participate in the next capacity lease.

In yet another optional implementation manner of the first aspect, after the determining the actual economic benefit rate of the first energy storage device in the lease period based on the actual charge and discharge times of the first energy storage device in the lease period, the service data of the first energy storage device in the lease period, the electricity price information of the area where the first energy storage device is located, and the lease capacity, the method further includes:

determining a deviation value of the actual economic benefit rate and the economic benefit rate of the first energy storage device under the second target state, which is output by the second economic benefit evaluation model;

And updating a second economic benefit evaluation model based on the actual charge and discharge times of the first energy storage device in the lease period and the actual economic benefit rate under the condition that the deviation value exceeds a preset third threshold value.

under the condition that the first energy storage equipment does not participate in the next capacity lease, determining whether the electricity price information of the area where the first energy storage equipment is located changes or not;

and under the condition that the electricity price information of the area where the first energy storage equipment is located is changed, determining whether to start a capacity lease adjustment mode of the first energy storage equipment.

In a further optional implementation manner of the first aspect, the starting the capacity lease adjustment mode includes:

acquiring the electricity consumption condition of a user in the area where the first energy storage equipment is located;

and determining the initial lease capacity of the first energy storage equipment according to the electricity consumption condition and the electricity price information of the user in the area where the first energy storage equipment is located, so that the first energy storage equipment performs capacity lease according to the initial lease capacity in the lease period and/or the next lease.

acquiring the actual lease capacity of the first energy storage device in the lease period;

determining a lease capacity adjustment coefficient of the first energy storage device according to the initial lease capacity and the actual lease capacity of the first energy storage device;

determining a target lease capacity of the first energy storage device according to the lease capacity adjustment coefficient;

and adjusting the lease capacity of the first energy storage device when the next lease is carried out according to the target lease capacity.

In a second aspect, an embodiment of the present application provides an energy storage device lease capacity adjustment apparatus, where the apparatus at least includes a receiving unit, a first obtaining unit, a first input unit, a second obtaining unit, a second input unit, and a transmitting unit. The energy storage device lease capacity adjustment apparatus is configured to implement the method described in any one of the embodiments of the first aspect, wherein the descriptions of the receiving unit, the first obtaining unit, the first input unit, the second obtaining unit, the second input unit, and the sending unit are as follows:

the receiving unit is used for receiving lease order information, wherein the lease order information comprises a lease period and lease capacity;

The first acquisition unit is used for acquiring service data of a plurality of energy storage devices and electricity price information of areas where the plurality of energy storage devices are located, wherein the service data of the plurality of energy storage devices at least comprise energy capacity, power capacity or charge and discharge power of the energy storage devices, and the electricity price information comprises peak electricity price and trough electricity price;

the first input unit is used for inputting business data of a first energy storage device in the plurality of energy storage devices and electricity price information of an area where the first energy storage device is located into a preset first economic benefit evaluation model to obtain economic benefit rate of the first energy storage device in a first target state, wherein the first economic benefit evaluation model is used for evaluating economic benefit obtained by the energy storage device in a wave trough electricity storage peak selling mode, and the first target state is used for representing a state that the energy storage device only carries out wave crest electricity selling and wave trough electricity storage;

the second acquisition unit is used for acquiring the limit value of the charge and discharge times of the first energy storage device in the lease period;

the second input unit is used for inputting the service data of the first energy storage device, the limit value of the charge and discharge times of the first energy storage device in the lease period, the electricity price information of the area where the first energy storage device is located, the lease period and the lease capacity into a preset second economic benefit evaluation model so as to obtain the economic benefit rate of the first energy storage device in a second target state; the second economic benefit evaluation model is used for evaluating the economic benefit obtained by the energy storage equipment through a target mode, the second target state is used for representing the state that the energy storage equipment leases part or all of the capacity, the target mode comprises a mode of selling electricity and leasing the capacity through a wave trough Chu Dianbo peak, or the target mode comprises a mode of leasing the capacity;

The sending unit is used for sending a positive message corresponding to the lease order information and starting a capacity lease adjustment mode when the economic benefit rate of the first energy storage device in the second target state exceeds the economic benefit rate of the first energy storage device in the first target state, wherein the capacity lease adjustment mode is a mode for adjusting the configuration and/or the leased capacity of the energy storage device in the next lease according to the lease return condition.

In a third aspect, embodiments of the present application provide an energy storage system comprising a processor, a memory, and a communication interface; a memory having a computer program stored therein; the communication interface is for transmitting and/or receiving data when the processor executes a computer program, the energy storage system being operable to perform the method described in the first aspect or any of the possible implementations of the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having a computer program stored therein, which when executed on at least one processor, implements the method described in the foregoing first aspect or any of the alternatives of the first aspect.

In a fifth aspect, the present application provides a computer program product comprising a computer program for implementing the method described in the first aspect or any of the alternatives of the first aspect, when said program is run on at least one processor.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description of the embodiments or the drawings used in the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

The drawings that are used in the description of the embodiments will be briefly described below.

Fig. 1 is a schematic architecture diagram of an energy storage system according to an embodiment of the present disclosure;

Fig. 2 is a schematic structural diagram of an energy storage device according to an embodiment of the present application;

fig. 3 is a flow chart of a method for adjusting leasing capacity of an energy storage device according to an embodiment of the present application;

FIG. 4 is a flow chart of a method for determining rental capacity allocated by an energy storage device, provided in an embodiment of the present application;

fig. 5 is a flowchart of a method for adjusting a capacity lease adjustment mode of a first energy storage device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a leasing capacity adjusting device of an energy storage device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an energy storage system according to an embodiment of the present application.

Detailed Description

Embodiments of the present application will be described in detail below with reference to the accompanying drawings.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

The following describes a system architecture applied to the embodiment of the present application. It should be noted that, the system architecture and the service scenario described in the present application are for more clearly describing the technical solution of the present application, and do not constitute a limitation on the technical solution provided in the present application, and those skilled in the art can know that, with the evolution of the system architecture and the appearance of the new service scenario, the technical solution provided in the present application is also applicable to similar technical problems.

Referring to fig. 1, fig. 1 is a schematic architecture diagram of an energy storage system according to an embodiment of the present application, where the energy storage system 10 includes a plurality of energy storage devices 101, and wherein:

the energy storage system 10 is a collective term of the energy storage device cluster, and optionally, the energy storage system 10 includes components such as an energy management system, a data management system, an inverter, and the like, in addition to the plurality of energy storage devices 101.

Optionally, the energy storage system 10 is communicatively connected to a cloud server, which may be used as a main body for analysis and calculation of the energy storage system 10.

Alternatively, an independent physical server may be disposed in the energy storage system 10, or a server cluster or a distributed system formed by a plurality of physical servers, through which the energy storage system 10 may execute the method provided in the embodiments of the present application.

Optionally, a first economic benefit evaluation model is provided in the energy storage system 10, where the first economic benefit evaluation model is trained in advance according to historical data.

Optionally, a second economic benefit evaluation model is provided in the energy storage system 10, where the second economic benefit evaluation model is trained in advance according to historical data.

Optionally, a plurality of data storage warehouses are provided in the energy storage system 10, and the plurality of data storage warehouses are used for storing information required by the energy storage device.

Optionally, the energy storage system 10 may obtain service data of the plurality of energy storage devices 101 through communication connection with the plurality of energy storage devices 101.

Optionally, the energy storage system 10 may obtain the electricity price information of the area where the plurality of energy storage devices are located through the electricity price list or the network information issued by the electric power office.

Optionally, a capacity lease adjustment mode is set in the energy storage system 10, and in the case of starting the capacity lease adjustment mode, the energy storage system 10 adjusts the configuration of the energy storage device and/or the capacity of the lease according to the condition of lease report.

The energy storage device 101 includes a photovoltaic power generation module, an inverter module, and a battery module; the energy storage device 101 is further connected with a household appliance load module and a mains supply module, and referring to fig. 2, fig. 2 is a schematic structural diagram of the energy storage device, where:

The photovoltaic power generation module is used for converting solar energy into electric energy, and then the generated electric energy is selectively transmitted to the household appliance load module, the commercial power module and the storage battery module after passing through the inverter module.

The household appliance load module comprises various appliances connected with the mains supply in individual families, and generally has three energy supply modes, namely: mains supply power supply, storage battery module power supply and photovoltaic power generation module power supply.

The storage battery module is used for storing direct current transmitted by the inverter module.

The utility power module is connected with a utility power network and is mainly used for supplying power to the household appliance load module and/or the storage battery module.

Optionally, the energy storage device 101 is communicatively connected to the cloud server.

It should be noted that, the energy storage device 101 includes a plurality of energy storage devices, where the plurality of energy storage devices may belong to different areas, and in this embodiment, the first energy storage device is one or more of the plurality of energy storage devices of the energy storage device 101, and if the first energy storage device is a plurality of the plurality of energy storage devices, the first energy storage device may be two energy storage devices that belong to different areas.

Referring to fig. 3, fig. 3 is a flowchart of an energy storage device lease capacity adjustment method provided in an embodiment of the present application, where the energy storage device lease capacity adjustment method may be implemented based on an energy storage system in a system architecture schematic shown in fig. 1, but may also be implemented based on other architectures, and the method includes, but is not limited to, the following steps:

step S301: lease order information is received.

Wherein the lease order information includes lease period and lease capacity; the lease period represents the duration of the capacity of the leased energy storage device, for example, the lease period is one month, if the lease order is achieved, the lease capacity of the corresponding energy storage device is reserved for one month, and the operation is performed according to the requirement of a customer during the period of one month, wherein the operation process comprises photovoltaic power generation, power storage, power discharge or power selling and the like; the lease capacity represents a lease capacity of the leased energy storage device, for example, if the lease capacity in the lease order information is 100 kw hours, it is determined that the total capacity of the energy storage device receiving the lease order information is 500 kw hours, during the lease, a part of the energy storage device corresponding to 100 kw hours is operated by a transmitting end (user) transmitting the lease order information, and in addition, the rest of the part of the energy storage device corresponding to 400 kw hours is operated by the energy storage system.

Optionally, the rental order information includes, in addition to a rental period and a rental capacity, power of the rental device, and specifically, in a part of a rental scenario, the customer needs power of the rented energy storage device in addition to the capacity of the rented energy storage device, in this case, it is determined that the energy storage device receiving the rental order needs to generate, discharge or store power with the power required by the customer, and such a process may have a certain influence on economic benefits of the energy storage device, so that the rental order information includes, in addition to the rental period and the rental capacity, information that affects economic benefits obtained by renting the energy storage device.

The rental order information may be sent by a mobile terminal of the customer, or may be sent by the customer operating on one of the plurality of energy storage devices, where it is noted that a port or a page for sending the same or similar to the rental order information is provided in any one of the plurality of energy storage devices for use by the customer.

Step S302: and acquiring service data of the plurality of energy storage devices and electricity price information of the area where the plurality of energy storage devices are located.

The service data of the energy storage devices at least comprise energy capacity, power capacity or charge-discharge power of the energy storage devices, and the electricity price information comprises peak electricity price and trough electricity price.

It should be noted that, the electricity price information of the areas where the plurality of energy storage devices are located may be different from each other, and the peak electricity price is higher than the trough electricity price, further, the electricity price information includes a selling price, and the selling price is related to the peak and the trough of the local electricity demand.

The service data of the plurality of energy storage devices comprises the service data of the first energy storage device.

Step S303: and inputting the business data of the first energy storage device in the plurality of energy storage devices and the electricity price information of the area where the first energy storage device is located into a preset first economic benefit evaluation model to obtain the economic benefit rate of the first energy storage device in a first target state.

The first energy storage device is configured to characterize the energy storage devices participating in the present lease, so the first energy storage device may be one or more of the plurality of energy storage devices, specifically, the specific number of the first energy storage device may be determined according to the lease capacity in the lease order information, for example, if the lease capacity is 800 kw-hours and the total capacity of a single energy storage device is 500 kw-hours, then the present lease task cannot be completed by a single energy storage device, and it is required to divide the present lease task into two or even more energy storage devices to complete, for example, divide the present lease capacity into 800 kw-hours task into two energy storage devices which belong to different areas, and the lease capacities corresponding to the two energy storage devices are 400 kw-hours respectively, and of course, it is also possible to divide the lease capacity corresponding to one energy storage device into 300 kw-hours, and further, for example, divide the present lease capacity into 800 kw-hours task into two or more energy storage devices which belong to the same area.

Furthermore, in order to reduce the workload and cost loss of mass model calculation, the plurality of energy storage devices are screened to screen the energy storage devices with lower selling price in the area, so that the economic benefit is increased.

Optionally, determining an energy storage device participating in the present lease task from the plurality of energy storage devices according to the lease capacity and the electricity price information; dividing the energy storage devices participating in the present lease task into a plurality of groups according to the lease capacity, and testing a first economic benefit evaluation model by taking the groups as a unit, wherein for example, the lease capacity of the present lease task is 500 kilowatt-hours, the number of the energy storage devices capable of participating in the present lease task is 5, namely, the number 1 energy storage device, the number 2 energy storage device, the number 3 energy storage device, the number 4 energy storage device and the number 5 energy storage device, the number 5 energy storage devices are divided into 24 groups which are enough to complete the present lease task, and the 24 groups are random combinations of the number 5 energy storage devices, such as (number 1 and number 2); (No. 2, no. 3, no. 4); (No. 1, no. 2, no. 3, no. 4); (No. 2, no. 3, no. 4, no. 5); (No. 1, no. 2, no. 3, no. 4, no. 5), etc., if there are a plurality of energy storage devices in each group, the lease capacity corresponding to each energy storage device may be different, and taking group (No. 1, no. 2) as an example, the lease capacity of the lease task is 500 kw, the lease capacity corresponding to the No. 1 energy storage device may be 100 kw, may be 400 kw, and each group should test all lease capacity allocation conditions when testing the first economic benefit evaluation model.

Optionally, the training data of the first economic benefit evaluation model includes all capacity allocation conditions corresponding to the historical energy storage devices of multiple groups, and after the adjustment, the business data of each group and the corresponding electricity price information are input into the first economic benefit evaluation model, so that the economic benefit rate of each group in different lease capacity allocation conditions and in the first target state can be directly output.

It is noted that the above group is the first energy storage device, which represents that the first energy storage device may be the above (No. 2, no. 3, no. 4) or the above (No. 1, no. 2, no. 3, no. 4, no. 5).

The first economic benefit evaluation model is used for evaluating economic benefits obtained by the energy storage equipment in a mode of selling electricity through wave troughs and storing electricity through wave peaks, and the first target state is used for representing a state that the energy storage equipment only performs wave crests and wave troughs for electricity storage;

the first economic benefit evaluation model is obtained by training based on the historical service data of the energy storage equipment, the historical electricity price information of the area where the energy storage equipment is located and the economic benefit rate corresponding to the energy storage equipment in a first target state, and belongs to a single target model.

In order to obtain a more accurate economic benefit rate of the first energy storage device in the first target state, the investment cost of the first energy storage device needs to be considered, wherein the investment cost includes the running cost, the maintenance cost and the like of the device, so in an alternative embodiment, the investment cost is dispersed to a period, for example, a year, if the economic benefit rate of the first energy storage device in the first target state is in a time unit day, in this embodiment, the investment cost may be dispersed to each day to perform separate calculation.

In an alternative embodiment, the cost of the energy storage device is mainly composed of initial investment costs including battery, energy storage converter PCS, battery management system BMS and other auxiliary facility costs, i.e. electricity type costs and power type costs, and operation and maintenance costs. The operation and maintenance costs are related to the initial investment costs, and can be obtained by multiplying the initial investment costs by the operation and maintenance coefficients, and thus, the cost is calculated as follows:

in the above formula, C1 represents the initial investment cost of the energy storage system converted into the annual value; PB represents energy storage configuration power, and the unit is kW; EB represents the stored configuration charge (e.g., battery rated capacity) in kWh; c1 represents PCS unit price in yuan/kW; c2 represents BMS system unit price in yuan/kW; c3 represents the unit cell price in yuan per kWh; c4 represents other auxiliary facility unit price in yuan/kWh; r represents the discount rate; n represents the stored energy operating life.

The annual operation and maintenance cost calculation formula of the energy storage system is shown as follows:

C2＝kc×[(c1+c2)PB+(c3+c4)EB]

in the above formula, C2 represents the operation and maintenance cost of the energy storage system converted into the annual value; kc represents the operation and maintenance coefficient, usually considered in terms of 1%.

The daily average cost C of the energy storage system is shown as the following formula when the cost of the energy storage system is reduced every day:

C=(C1+C2)/365

specifically, the initial investment cost of the energy storage system converted to the annual value and the operation and maintenance cost of the energy storage system converted to the annual value are added and then converted to each day of the year.

Further, since the first target state is used for representing the state that the energy storage device only performs peak electricity selling and trough electricity storing, the profit source of the first energy storage device in the first target state is only from the power grid electricity selling, and therefore the economic benefit rate output by the first economic benefit evaluation model can be calculated according to the historical electricity selling profit and daily average cost C of the lease period of the first energy storage device.

Step S304: and acquiring a limit value of the charge and discharge times of the first energy storage device in the lease period.

Optionally, the limit value of the charge and discharge times of the first energy storage device in the lease period is the maximum value of the charge and discharge times, and if the charge and discharge times of the energy storage device in the lease period exceeds the limit value of the charge and discharge times, the service life of a battery in the energy storage device is affected, and potential safety hazards may be brought.

The purpose of the embodiments of the present invention is to improve the economic benefit of the energy storage device through capacity renting, it may be understood that the capacity renting may be single renting, and may be renting in the whole period, and the user realizes peak electricity selling, trough electricity storing or auxiliary benefit of self-electric equipment energy supplementing through renting the energy storage device, so that the economic benefit of the rented battery capacity comes from the renting cost paid by the user, and the renting cost paid by the user is formulated by one side of the energy storage device, so that when the limit of the number of charging and discharging times of the energy storage device in the renting period is higher, the benefit brought to the user is larger, and the corresponding renting cost is higher, so that the limit of the number of charging and discharging times of the energy storage device in the renting period is strongly correlated with the benefit of the capacity renting.

Further, if the capacity rental is a single rental, and the charging and discharging are performed once, the user can perform energy supplementing and/or electricity selling through renting the energy storage device of the single rental, and obviously, if the limit value of the charging and discharging times of the energy storage device in the renting period is higher, the number of times of the renting is more, and the income brought by the corresponding capacity renting is also greater.

Optionally, the energy storage lease adopts a hybrid charging mode, and simultaneously considers the energy capacity, the power capacity and the charge and discharge power of the energy storage lease; because the service life of the stored energy can be damaged due to frequent charging and discharging, the operation cost is increased, and the charging and discharging power is charged according to the flow form to reflect the frequent degree of using the stored energy by a user, so the charging standard is used.

Step S305: and inputting the business data of the first energy storage device, the limit value of the charging and discharging times of the first energy storage device in the lease period, the electricity price information of the area where the first energy storage device is located, the lease period and the lease capacity into a preset second economic benefit evaluation model to obtain the economic benefit rate of the first energy storage device in a second target state.

Optionally, the training data of the first economic benefit evaluation model includes all capacity allocation conditions corresponding to the historical energy storage devices of multiple groups, and after debugging, the business data of each group and the corresponding electricity price information are input into the first economic benefit evaluation model, so that the economic benefit rate of each group under different leasing capacity allocation conditions can be directly output.

The second economic benefit evaluation model is used for evaluating the economic benefit obtained by the energy storage equipment through a target mode, the second target state is used for representing the state that the energy storage equipment leases part or all of capacity, the target mode comprises a mode of selling electricity and leasing capacity through a trough Chu Dianbo peak, or the target mode comprises a mode of leasing capacity.

The second economic benefit evaluation model can be a model based on algorithms such as probability statistics or machine learning, and the future economic benefit rate can be predicted according to parameters such as historical data and electricity price information. Specifically, the following modes are possible: regression analysis mode: and predicting the future economic benefit rate by using parameters such as historical data, electricity price information and the like through a regression analysis method. The model may be constructed using linear regression, ridge regression, or Lasso regression, among others. Support Vector Machine (SVM) mode: and predicting the future economic benefit rate through an SVM algorithm by using parameters such as historical data, electricity price information and the like. The model may be constructed using either linear SVM or non-linear SVM. Neural network mode: and predicting the future economic benefit rate through a neural network algorithm by using parameters such as historical data, electricity price information and the like. The model may be constructed using a multi-layer perceptron (MLP), convolutional Neural Network (CNN), or Recurrent Neural Network (RNN), among other methods. Decision tree mode: and predicting the future economic benefit rate through a decision tree algorithm by using parameters such as historical data, electricity price information and the like. The model may be constructed using a binary decision tree or a multi-way decision tree. Random forest pattern: and predicting the future economic benefit rate by using parameters such as historical data, electricity price information and the like through a random forest algorithm. The model may be constructed using decision trees, regression trees, or ensemble learning, among other methods.

The second economic benefit evaluation model is obtained by training based on the historical service data of the energy storage equipment, the historical electricity price information of the area where the energy storage equipment is located, and the limit value of the charge and discharge times of the energy storage equipment and the corresponding economic benefit rate, and belongs to a multi-target model, namely, two targets that the charge and discharge times are less and the economic benefit rate is high are to be realized;

therefore, the output result of the second economic benefit evaluation model is relatively balanced, and the service life of the battery is obviously not influenced.

Step S306: and sending a positive message corresponding to the lease order information and starting a capacity lease adjustment mode under the condition that the economic benefit rate of the first energy storage device in the second target state exceeds the economic benefit rate of the first energy storage device in the first target state.

Optionally, a positive message corresponding to the lease order information is sent to a sender of the lease order information.

And the capacity lease adjustment mode is a mode for adjusting the configuration and/or the leased capacity of the energy storage equipment when the next lease is carried out according to the lease report condition.

The adjusting of the configuration of the energy storage device comprises adjusting the charge and discharge times, the charge and discharge power and the like of the energy storage device.

It can be understood that if the economic benefit rate of the first energy storage device in the second target state exceeds the economic benefit rate of the first energy storage device in the first target state, it represents that the renting of the capacity in the area where the first energy storage device is located can improve the profit, but how much of the renting of the capacity can improve the profit further, which is not determined enough and only can be used as a reference, so in an alternative implementation, the selling price of a part of the area is related to the electricity consumption of the local people, and the first energy storage device includes a plurality of energy storage devices in different areas, so that the renting capacity allocation can be further improved while meeting the customer requirement through the electricity consumption of the user in the area where the first energy storage device is located, and fig. 4 is a schematic diagram of a method for determining the renting capacity allocated by the energy storage device according to the embodiment of the present application, specifically shown in the following:

step S401: and acquiring the electricity consumption condition of the user in the area where the first energy storage equipment is located.

The electricity consumption condition of the user in the area where the first energy storage device is located is used for representing the electricity consumption of the user in the area where the first energy storage device is located in the electricity price wave crest and the electricity price wave trough.

And if the first energy storage device comprises a plurality of energy storage devices, determining the electricity consumption condition of the user in the area where each energy storage device is located.

Step S402: and determining the initial lease capacity of the first energy storage equipment according to the electricity consumption condition and the electricity price information of the user in the area where the first energy storage equipment is located, so that the first energy storage equipment performs capacity lease according to the initial lease capacity in the lease period and/or the next lease.

It will be appreciated that the energy storage device performing the rental mission has a remaining capacity for peak selling, valley storing, or powering household loads in addition to the rental capacity.

And determining the electricity consumption of the user in the area where the first energy storage equipment is located at the electricity price peak and the electricity consumption of the user in the electricity price trough according to the electricity consumption condition and the electricity price information of the area where the first energy storage equipment is located.

Optionally, the higher the electricity consumption of the peak of electricity price in the area where a certain energy storage device in the first energy storage device is located, the higher the electricity selling price is related to the electricity consumption of the user, and correspondingly, the higher the electricity selling price is, the lower the initial lease capacity allocated by the energy storage device is, so as to allocate more capacity for selling electricity.

Optionally, the determining of the initial rental capacity includes:

the lease capacity of the first energy storage device is a preset proportion of the energy capacity and/or the power capacity of the first energy storage device;

or, the lease capacity of the first energy storage device is obtained by dividing the chargeable and dischargeable electric quantity of the first energy storage device in the lease period by the average value of the electricity price information of the area where the first energy storage device is located in a preset time and multiplying the average value by a preset proportion.

Step S403: and acquiring the actual lease capacity of the first energy storage device in the lease period.

The actual lease capacity is the capacity of each energy storage device in the first energy storage device during the lease period, and optionally, the lease period is one month.

Step S404: and determining a lease capacity adjustment coefficient of the first energy storage device according to the initial lease capacity and the actual lease capacity of the first energy storage device.

Optionally, the rental capacity adjustment factor is an initial rental capacity of each energy storage device of the first energy storage device divided by an allocated actual rental capacity of each energy storage device of the first energy storage device over the rental period.

Further, in an alternative embodiment, after determining the rental capacity adjustment coefficient of the first energy storage device, the method further comprises: acquiring actual charge and discharge times of one energy storage device in the first energy storage device in a preset time period; determining the economic benefit rate of the energy storage equipment within preset time according to lease capacity adjustment coefficients and actual charge and discharge times of all the energy storage equipment in the first energy storage equipment; determining the actual economic benefit rate of the first energy storage device according to the economic benefit rate of the first energy storage device in a preset time; and comparing the actual economic benefit rate with the economic benefit rate of the first energy storage equipment in the second target state to determine whether the capacity lease return of the first energy storage equipment determines whether one or more energy storage equipment in the first energy storage equipment participates in the next capacity lease.

Step S405: and determining the target lease capacity of the first energy storage device according to the lease capacity adjustment coefficient.

Optionally, under the condition that the rental capacity adjustment coefficient is higher, the rental capacity of the first energy storage device is adjusted downwards so as to obtain the target rental capacity.

Step S406: and adjusting the lease capacity of the first energy storage device according to the target lease capacity.

Optionally, the steps are performed in each lease, and the lease capacity adjustment coefficient is corrected until the lease capacity adjustment coefficient is 1.

Optionally, under the condition that the lease capacity adjustment coefficient is higher than a preset value, the lease capacity of part of the energy storage devices in the first energy storage device is adjusted downwards when the next lease is performed.

According to the method and the device, accurate assessment of capacity renting is achieved through the electricity consumption condition of the user in the area where the first energy storage device is located, and economic losses caused by repeated adjustment of renting capacity are reduced.

In an alternative implementation, please refer to fig. 5, fig. 5 is a flow chart of a method for adjusting a capacity lease adjustment mode of a first energy storage device according to an embodiment of the present application, which specifically includes the following steps:

step S501: under the condition that a capacity lease adjustment mode is started, determining the actual economic benefit rate of the first energy storage device in the lease period based on the actual charge and discharge times of the first energy storage device in the lease period, service data of the first energy storage device in the lease period, electricity price information of an area where the first energy storage device is located and the lease capacity.

The lease capacity is the actual lease capacity.

Optionally, the actual economic benefit rate may be determined according to the charge and discharge times and the charge and discharge state, and specifically, the charge and discharge times of the first energy storage device in the lease period are obtained according to the service data of the first energy storage device in the lease period; acquiring a charging and discharging state of the first energy storage device in the lease period; determining economic benefits obtained if electricity selling is carried out by the lease capacity of the first energy storage equipment according to the charge and discharge times and charge and discharge states of the first energy storage equipment in the lease period, the lease capacity and the electricity price information of the area where the first energy storage equipment is located; the method comprises the steps of obtaining actual dependent gain of the first energy storage equipment, and determining the actual economic benefit rate of the first energy storage equipment in a lease period according to the actual dependent gain of the first energy storage equipment and the economic benefit obtained if electricity selling is carried out according to the lease capacity of the first energy storage equipment.

Step S502: and comparing the actual economic benefit rate with the economic benefit rate of the first energy storage device in the first target state to adjust the capacity lease adjustment mode of the first energy storage device.

Further, when the actual economic benefit rate exceeds the economic benefit rate of the first energy storage device in the first target state, and the actual charge and discharge times of the first energy storage device in the lease period is higher than a preset first threshold value, increasing the charge and discharge power of the first energy storage device in the next lease; the preset first threshold is a value close to and smaller than the limit value of the charge and discharge times, so it can be understood that further increasing the charge and discharge times of the first energy storage device may affect the service life of the battery of the first energy storage device.

Optionally, when the actual economic benefit rate exceeds the economic benefit rate of the first energy storage device in the first target state, and the actual charge and discharge times of the first energy storage device in the lease period is higher than a preset first threshold, the charge and discharge times of the first energy storage device in the next lease are reduced, and the charge and discharge power of the first energy storage device is increased.

Further, when the actual economic benefit rate exceeds the economic benefit rate of the first energy storage device in the first target state, and the actual charge and discharge times of the first energy storage device in the lease period is not higher than a preset first threshold value, increasing the lease capacity of the first energy storage device in the next lease; optionally, when the actual economic benefit rate exceeds the economic benefit rate of the first energy storage device in the first target state, and the actual charge and discharge times of the first energy storage device in the lease period is not higher than a preset first threshold, the charge and discharge times of the first energy storage device in the next lease can be increased until the charge and discharge times of the first energy storage device are close to the preset first threshold, and the charge and discharge power of the first energy storage device in the next lease can be increased.

Further, under the condition that the actual economic benefit rate does not exceed the economic benefit rate of the first energy storage device in the first target state and the difference value of the actual economic benefit rate and the first energy storage device is smaller than a preset second threshold value, determining whether the first energy storage device participates in the next capacity lease task according to the actual charge and discharge times of the first energy storage device in the lease period.

If the actual number of times of charging and discharging the first energy storage device in the lease period exceeds the preset first threshold, this represents that the loss caused by the service life of the battery due to capacity lease is higher than the economic benefit caused by high-frequency charging and discharging, so that it is determined that the first energy storage device does not participate in the next capacity lease, which represents that all or part of the energy storage devices in the first energy storage device cannot be evaluated as the energy storage devices participating in the next lease order.

and under the condition that the actual economic benefit rate does not exceed the economic benefit rate of the first energy storage equipment in the first target state and the difference value of the actual economic benefit rate and the economic benefit rate is larger than a preset second threshold value, determining that the first energy storage equipment does not participate in the next capacity lease, wherein the preset second threshold value represents that the actual economic benefit rate of the first energy storage equipment is larger than the economic benefit rate of the first energy storage equipment in the first target state.

In an alternative embodiment, after determining to shut down the capacity lease adjustment mode of the first energy storage device, the method further comprises:

and under the condition that the electricity price information of the area where the first energy storage equipment is located is changed, determining whether the first energy storage equipment participates in the next capacity lease.

In an alternative embodiment, after the determining the actual economic benefit rate of the energy storage device during the rental period according to the economic benefit rate of the first energy storage device during the rental period, the second economic benefit evaluation model may be optimized according to the actual economic benefit rate, which is specifically as follows:

In an alternative embodiment, the profit patterns of the plurality of energy storage devices included in the energy storage device are determined, so as to realize the maximized economic profit, which is specifically as follows:

acquiring service data of the plurality of energy storage devices and electricity price information of areas where the plurality of energy storage devices are located; inputting the service data of the energy storage equipment and the electricity price information of the area to a preset third economic benefit evaluation model to obtain the economic benefit rate of each energy storage equipment in the respective target state, wherein the third economic benefit evaluation model is established according to the configuration of the energy storage equipment and/or the return on investment rate of the rented capacity and is used for evaluating the economic benefit obtained by the energy storage equipment through the configuration and/or the return on investment of the rented capacity; determining the configuration of each energy storage device and/or the return on investment rate of rented capacity according to the economic benefit rate of each energy storage device in the respective target state; and comparing the investment return rates of the configuration and/or rented capacity of each energy storage device to determine whether the investment return rates of the configuration and/or rented capacity of each energy storage device reach preset conditions.

In order to further improve economic benefits brought by the plurality of energy storage devices, in an optional implementation manner, service data of the plurality of energy storage devices and electricity price information of areas where the plurality of energy storage devices are located are obtained; inputting business data of the energy storage equipment and electricity price information of a region where the business data are located into a preset fourth economic benefit evaluation model to obtain economic benefit rates of the energy storage equipment in respective target states, wherein the fourth economic benefit evaluation model is established according to a charging and discharging strategy of the energy storage equipment and is used for evaluating economic benefits of the energy storage equipment obtained through a reasonable charging and discharging strategy; determining the priority of a charging and discharging strategy of each energy storage device according to the economic benefit rate of each energy storage device in the respective target state; and adjusting the charging and discharging strategies of the energy storage devices according to the priorities of the charging and discharging strategies of the energy storage devices.

According to the method for adjusting the leasing capacity of the energy storage equipment, disclosed by the invention, the economic benefit rate under different target states can be accurately estimated by comprehensively considering the service data of the energy storage equipment and the electricity price information of the area where the service data and the electricity price information are located, the leasing capacity of the energy storage equipment can be more flexibly adjusted, and the economic benefit of the energy storage equipment is further improved. In addition, the method also considers the charging and discharging strategies of the equipment, and can further improve the economic benefit of the energy storage equipment in the renting state. Meanwhile, when the electricity price information of the area where the energy storage equipment is located changes, whether the capacity lease return on investment adjustment capacity lease adjustment mode is started or not can be estimated again, so that the energy storage equipment can be better adapted to the change of the electric power market. The leasing capacity adjusting method for the energy storage equipment has practicability and reliability, and can bring obvious economic and social benefits.

The foregoing details the method of embodiments of the present application, and the apparatus of embodiments of the present application is provided below.

Referring to fig. 6, fig. 6 is a schematic structural diagram of an energy storage device rental capacity adjustment device according to an embodiment of the present application, where the energy storage device rental capacity adjustment device 60 may be the aforementioned energy storage system or a device in the energy storage system, and the energy storage device rental capacity adjustment device 60 may include a receiving unit 601, a first obtaining unit 602, a first input unit 603, a second obtaining unit 604, a second input unit 605, and a sending unit 606, where the detailed descriptions of the respective units are as follows.

A receiving unit 601, configured to receive rental order information, where the rental order information includes a rental period and a rental capacity;

a first obtaining unit 602, configured to obtain service data of a plurality of energy storage devices and electricity price information of an area where the plurality of energy storage devices are located, where the service data of the plurality of energy storage devices at least includes energy capacity, power capacity or charge-discharge power of the energy storage devices, and the electricity price information includes peak electricity price and trough electricity price;

the first input unit 603 is configured to input service data of a first energy storage device of the plurality of energy storage devices and electricity price information of an area where the first energy storage device is located to a preset first economic benefit evaluation model, so as to obtain an economic benefit rate of the first energy storage device in a first target state, where the first economic benefit evaluation model is used for evaluating an economic benefit obtained by the energy storage device in a mode of selling electricity through wave troughs and electricity storage peaks, and the first target state is used for representing a state that the energy storage device only performs wave crest electricity selling and wave trough electricity storage;

a second obtaining unit 604, configured to obtain a limit value of a charge/discharge number of the first energy storage device in the lease period;

a second input unit 605, configured to input service data of the first energy storage device, a limit value of charge and discharge times of the first energy storage device in the lease period, electricity price information of an area where the first energy storage device is located, a lease period and a lease capacity to a preset second economic benefit evaluation model, so as to obtain an economic benefit rate of the first energy storage device in a second target state; the second economic benefit evaluation model is used for evaluating the economic benefit obtained by the energy storage equipment through a target mode, the second target state is used for representing the state that the energy storage equipment leases part or all of the capacity, the target mode comprises a mode of selling electricity and leasing the capacity through a wave trough Chu Dianbo peak, or the target mode comprises a mode of leasing the capacity;

And a sending unit 606, configured to send an affirmative message corresponding to the rental order information and start a capacity rental adjustment mode when the economic benefit rate of the first energy storage device in the second target state exceeds the economic benefit rate of the first energy storage device in the first target state, where the capacity rental adjustment mode is a mode for adjusting the configuration and/or the rented capacity of the energy storage device when the energy storage device performs the next rental according to the situation of the rental report.

In one possible implementation, the energy storage device rental capacity adjustment device 60 further includes:

the first determining unit is used for determining the actual economic benefit rate of the first energy storage device in the lease period based on the actual charge and discharge times of the first energy storage device in the lease period, service data of the first energy storage device in the lease period, electricity price information of an area where the first energy storage device is located and the lease capacity under the condition that a capacity lease adjustment mode is started;

and the comparison unit is used for comparing the actual economic benefit rate with the economic benefit rate of the first energy storage equipment in the first target state so as to adjust the capacity lease adjustment mode of the first energy storage equipment.

In one possible embodiment, the alignment unit is configured to:

the second determining unit is used for determining a deviation value of the actual economic benefit rate and the economic benefit rate of the first energy storage device under the second target state, which is output by the second economic benefit evaluation model;

and the updating unit is used for updating a second economic benefit evaluation model based on the actual charge and discharge times of the first energy storage device in the lease period and the actual economic benefit rate under the condition that the deviation value exceeds a preset third threshold value.

A third determining unit, configured to determine whether electricity price information of an area where the first energy storage device is located changes, if it is determined that the first energy storage device does not participate in the next capacity lease;

and the fourth determining unit is used for determining whether the first energy storage equipment participates in the next capacity lease or not under the condition that the electricity price information of the area where the first energy storage equipment is located is changed.

In a possible implementation manner, the sending unit 606 is configured to:

In a possible implementation manner, the sending unit 606 is further configured to:

Referring to fig. 7, fig. 7 is a schematic structural diagram of an energy storage system according to an embodiment of the present application, where the energy storage system 10 includes: a processor 701, a communication interface 702 and a memory 703. The processor 701, the communication interface 702, and the memory 703 may be connected by a bus or other means, which is exemplified in the embodiment of the present application.

The processor 701 is a computing core and a control core of the energy storage system 10, and may parse various instructions in the energy storage system 10 and various data of the energy storage system 10, for example: the processor 701 may be a central processing unit (Central Processing Unit, CPU) that may communicate various types of interaction data between the internal structures of the energy storage system 10, and so on. Communication interface 702 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI, mobile communication interface, etc.), and may be controlled by processor 701 to receive and transmit data; the communication interface 702 may also be used for transmission or interaction of signaling or instructions within the energy storage system 10. Memory 703 (Memory) is a Memory device in the energy storage system 10 for storing programs and data. It will be appreciated that the memory 703 herein may include either a built-in memory of the energy storage system 10 or, of course, an extended memory supported by the energy storage system 10. The memory 703 provides a storage space that stores the operating system of the energy storage system 10 and also stores program code or instructions required by the processor to perform the corresponding operations, and optionally, related data generated by the processor after performing the corresponding operations.

In the present embodiment, the processor 701 executes executable program code in the memory 703 for performing the following operations:

In an alternative, the processor 701 is further configured to:

In an alternative, the comparing the actual economic benefit rate with the economic benefit rate of the first energy storage device in the first target state to adjust the capacity lease adjustment mode of the first energy storage device, the processor 701 is specifically configured to:

In an alternative, the processor 701 is further configured to:

In an alternative, in terms of the opening capacity lease adjustment mode, the processor 701 is specifically configured to:

In an alternative, in terms of the opening capacity lease adjustment mode, the processor 701 is further configured to:

It should be noted that the implementation of the respective operations may also correspond to the respective descriptions of the method embodiments shown in fig. 3, 4 and 5.

Embodiments of the present application provide a computer readable storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform operations performed by the embodiments described in fig. 3, 4, and 5.

Embodiments of the present application also provide a computer program product that, when run on a processor, performs the operations performed by the embodiments described in fig. 3, 4 and 5.

Those skilled in the art will appreciate that implementing all or part of the above-described embodiment methods may be accomplished by a program that instructs related hardware, and the program may be stored in a computer-readable storage medium, and the program may include the above-described embodiment methods when executed. And the aforementioned storage medium includes: various media capable of storing program code, such as ROM, RAM, magnetic or optical disks.

Claims

1. A method of energy storage device rental capacity adjustment, the method being applied to an energy storage system comprising a plurality of energy storage devices, the method comprising:

inputting business data of a first energy storage device in the plurality of energy storage devices and electricity price information of an area where the first energy storage device is located into a preset first economic benefit evaluation model to obtain economic benefit rate of the first energy storage device in a first target state, wherein the first economic benefit evaluation model is used for evaluating economic benefit obtained by the energy storage device through wave trough electricity storage and wave trough electricity selling, and the first target state is used for representing a state that the energy storage device only carries out wave trough electricity selling and wave trough electricity storage;

sending a positive message corresponding to the lease order information and starting a capacity lease adjustment mode under the condition that the economic benefit rate of the first energy storage device in the second target state exceeds the economic benefit rate of the first energy storage device in the first target state, wherein the capacity lease adjustment mode is a mode for adjusting the configuration and/or the leasing capacity of the energy storage device when the energy storage device performs the next lease according to the condition of lease return, the positive message is used for representing the positive of the lease order information so as to represent the acceptance of the lease order corresponding to the lease order information, and the lease return is used for representing the lease return of the first energy storage device participating in the lease; the adjusting the configuration of the energy storage device comprises adjusting the charge and discharge times or the charge and discharge power of the energy storage device.

2. The method according to claim 1, wherein the method further comprises:

3. The method of claim 2, wherein the comparing the actual economic benefit rate to the economic benefit rate of the first energy storage device in the first target state to adjust the capacity lease adjustment mode of the first energy storage device comprises:

4. The method of claim 2, wherein after determining the actual economic efficiency of the first energy storage device during the rental period based on the actual number of charges and discharges of the first energy storage device during the rental period, the business data of the first energy storage device during the rental period, the electricity price information of the area in which the first energy storage device is located, and the rental capacity, the method further comprises:

5. The method according to any one of claims 2-4, further comprising:

6. The method of any one of claims 1-4, wherein the turning on capacity lease adjustment mode comprises:

7. The method of claim 6, wherein the method further comprises:

8. An energy storage device rental capacity adjustment apparatus, the apparatus comprising:

the first input unit is used for inputting business data of a first energy storage device in the plurality of energy storage devices and electricity price information of an area where the first energy storage device is located into a preset first economic benefit evaluation model to obtain economic benefit rate of the first energy storage device in a first target state, wherein the first economic benefit evaluation model is used for evaluating economic benefit obtained by the energy storage device through wave trough electricity storage and wave trough electricity selling, and the first target state is used for representing the state that the energy storage device only carries out wave trough electricity selling and wave trough electricity storage;

A sending unit, configured to send an affirmative message corresponding to the lease order information and open a capacity lease adjustment mode when the economic benefit rate of the first energy storage device in the second target state exceeds the economic benefit rate of the first energy storage device in the first target state, where the affirmative message is used to characterize affirmative of the lease order information to indicate acceptance of a lease order corresponding to the lease order information, and the lease report is used to characterize lease report of the first energy storage device participating in lease; the adjusting the configuration of the energy storage device comprises adjusting the charge and discharge times or the charge and discharge power of the energy storage device.

9. An energy storage system, characterized in that the energy storage system comprises at least one processor, a communication interface for transmitting and/or receiving data, and a memory for storing a computer program, the at least one processor being adapted to invoke the computer program stored in the at least one memory for implementing the method according to any of claims 1-7.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when run on a processor, implements the method according to any of claims 1-7.