A new energy station cluster shared energy storage configuration method, device, electronic equipment and storage medium

Abstract

The present invention discloses a method, device, electronic device and storage medium for configuring shared energy storage in a new energy station cluster. The method comprises: obtaining basic data of the new energy station cluster; constructing an energy storage planning model and constraint conditions based on the basic data with the purpose of maximizing the total benefit of the new energy station cluster; solving the energy storage planning model under the constraint conditions to generate the configured power and configured capacity of the energy storage station to be configured; and configuring the shared energy storage in the new energy station cluster based on the configured power and configured capacity of the energy storage station to be configured. The implementation of the present invention can improve the efficiency of energy storage configuration and resource utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy stations, and in particular to a method, device, electronic equipment and storage medium for configuring shared energy storage in a cluster of new energy stations. Background Art

[0002] As the proportion of installed renewable energy capacity continues to rise, its volatility, intermittency, and randomness pose significant challenges to the stable operation of new power systems. Ensuring real-time power balance and safe system operation in the context of achieving a high proportion of renewable energy integration has become a key issue in the construction and development of new power systems. Currently, with the continuous expansion of renewable energy integration, renewable energy sites face unstable power generation and the need to cope with dynamic changes in power load demand, further exacerbating the complexity of energy storage configuration and regulation.

[0003] Shared energy storage, with its efficient resource utilization, cost reduction, and overall profitability, has become an important means of addressing the challenges of renewable energy consumption. Shared energy storage stores electricity during periods of excess renewable energy generation and releases it during peak demand periods or periods of low renewable energy output, effectively balancing electricity supply and demand. However, existing research has largely focused on a single application scenario, lacking consideration of the "new energy + energy storage" shared energy storage model's participation in the green certificate trading market; performing calculations on independent time scales, lacking multi-time-scale linkage calculations; and failing to achieve energy synergy between multiple renewable energy sites. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, electronic device, and storage medium for configuring shared energy storage across a cluster of new energy stations. Implementation of the present invention enables shared energy storage configuration across a cluster of new energy stations, taking into account participation in the green certificate trading market, benefit calculations at different time scales, and energy synergies between multiple new energy stations, thereby improving energy storage configuration efficiency and resource utilization.

[0005] An embodiment of the present invention provides a method for configuring shared energy storage in a new energy station cluster, comprising:

[0006] Obtain basic data of the new energy station cluster; the basic data includes: cost information of each new energy station, hardware parameters of each new energy station, predicted output of each new energy station, cost information of the energy storage station to be configured, clearing price of the day-ahead trading market, and clearing price of the intraday trading market.

[0007] Based on the basic data, an energy storage planning model and constraints are constructed with the goal of maximizing the total revenue of the new energy station cluster; wherein, the energy storage planning model takes into account the net revenue of participating in the day-ahead trading market, the net revenue of participating in the intraday trading market, the net revenue of participating in the green certificate market, and the configuration cost of the energy storage station; the net revenue of participating in the intraday trading market is calculated based on the winning bid power; the winning bid power is the winning bid power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the constraints include energy storage station investment limit constraints, energy storage capacity constraints, energy storage charging and discharging power constraints, energy storage power balance constraints, new energy station output constraints, winning bid power constraints, power balance constraints, and electricity purchase and sale status constraints.

[0008] Under the constraints, the energy storage planning model is solved to generate the configured power and capacity of the energy storage station to be configured.

[0009] Based on the configured power and capacity of the energy storage station to be configured, the new energy station cluster shared energy storage configuration is carried out.

[0010] Furthermore, the energy storage planning model includes:

[0011]

[0012] Where I is the total revenue of the new energy station cluster; is the net income of the i-th new energy station in the day-ahead trading market; is the net income of the i-th new energy station in the intraday trading market; is the net income of the new energy station in the green certificate market; C ess Assign costs to the energy storage station.

[0013] Furthermore, the net profit in the day-ahead trading market is calculated using the following formula:

[0014]

[0015] in, is the revenue of the i-th new energy station in the day-ahead trading market; is the daily operation and maintenance cost of the i-th new energy station; is the converted daily investment cost of the i-th new energy station.

[0016] Furthermore, the net profit in the intraday trading market is calculated by the following formula:

[0017]

[0018] in, is the income of the i-th new energy station in the intraday market; is the deviation penalty cost of the i-th new energy station; is the daily electricity purchase cost of the i-th new energy station.

[0019] Furthermore, the net income of the new energy station in the green certificate market is calculated by the following formula:

[0020]

[0021] Among them, ξ green is the green certificate conversion coefficient; P green is the green certificate price; N is the total number of new energy stations; is the actual output of the i-th new energy station at time t; Δt3 is the time interval for clearing the green certificate market.

[0022] Furthermore, the energy storage station configuration cost is calculated using the following formula:

[0023]

[0024] Where r is the discount rate; N2 is the number of years; C INV is the investment cost; C REP is the replacement cost; C OM，f is the fixed operation and maintenance cost; C OM，v is the variable operation and maintenance cost; C COM is the communication cost between new energy stations; C NEG The negotiation cost between new energy stations.

[0025] Furthermore, the energy storage station investment limit constraint is:

[0026] C INV +C REP ≤C bug

[0027] The energy storage capacity constraint is:

[0028]

[0029] The energy storage charging and discharging power constraints are:

[0030]

[0031] The energy storage power balance constraint is:

[0032]

[0033] The output constraints of the new energy stations are:

[0034]

[0035] The winning power constraint is:

[0036]

[0037] The power balance constraint is:

[0038]

[0039] The power purchase and sale status constraints are:

[0040]

[0041] Among them, C bug E is the initial investment of the energy storage power station system; max The capacity limit of the energy storage power station; is the upper limit of energy storage power, P ves，max is the maximum charge and discharge power of virtual energy storage; χ is the constraint coefficient between virtual energy storage and new energy station installed capacity; is the installed capacity of the i-th new energy station; is the amount of energy stored in the virtual energy storage at time t+1; is the amount of virtual energy storage at time t; Indicates the virtual energy storage capacity at t = 0; is the physical energy storage capacity at time t+1; is the physical energy storage capacity at time t; λ is the charging and discharging efficiency of the physical energy storage; is the charging power of the physical energy storage at time t; is the discharge power of the physical energy storage at time t; The power at the beginning of the physical energy storage cycle; The amount of electricity at the end of the physical energy storage cycle; is the physical energy storage charge and discharge state at time t; P pes_cha，max The power limit when charging the physical energy storage; P pes_dis，max The power limit of the physical energy storage when discharging; E pes，min The lower limit of the physical energy storage capacity; E pes，max The upper limit of the amount of energy that can be stored in the entity; is the output upper limit of the i-th new energy station; The predicted output of the i-th new energy station at time t; is the discharge power demand of the i-th new energy station at time t; is the charging power demand of the i-th new energy station at time t; is the actual output of the i-th new energy station at time t; is the electricity purchased from the intraday market by the i-th new energy station at time t is the winning bid power of the i-th renewable energy station at time t in the day-ahead market; is the winning bid power of the i-th renewable energy station in the intraday market at time t; is the positive deviation power of the i-th new energy station at time t; U t，i is the electricity purchase and sales status of the i-th new energy station at time t.

[0042] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0043] An embodiment of the present invention provides a device for configuring shared energy storage in a new energy station cluster, comprising: a basic data acquisition module, a model construction module, a model solution module, and an energy storage configuration module.

[0044] The basic data acquisition module is used to obtain basic data of the new energy station cluster; wherein the basic data includes: cost information of each new energy station, hardware parameters of each new energy station, predicted output of each new energy station, cost information of the energy storage station to be configured, clearing price of the day-ahead trading market, and clearing price of the intraday trading market.

[0045] The model construction module is used to construct an energy storage planning model and constraints based on the basic data with the purpose of maximizing the total revenue of the new energy station cluster; wherein, the energy storage planning model takes into account the net revenue of participating in the day-ahead trading market, the net revenue of participating in the intraday trading market, the net revenue of participating in the green certificate market and the configuration cost of the energy storage station; the net revenue of participating in the intraday trading market is calculated based on the winning power; the winning power is the winning power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the constraints include energy storage station investment limit constraints, energy storage capacity constraints, energy storage charging and discharging power constraints, energy storage power balance constraints, new energy station output constraints, winning power constraints, power balance constraints, and electricity purchase and sale status constraints.

[0046] The model solving module is used to solve the energy storage planning model under constraint conditions to generate the configured power and configured capacity of the energy storage station to be configured.

[0047] The energy storage configuration module is used to perform shared energy storage configuration of a new energy station cluster according to the configured power and configured capacity of the energy storage station to be configured.

[0048] Based on the above method embodiment, the present invention provides a corresponding electronic device embodiment.

[0049] An embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it can implement the new energy station cluster shared energy storage configuration method described in any one of the above method embodiments.

[0050] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment.

[0051] An embodiment of the present invention provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for configuring shared energy storage in a cluster of new energy stations as described in any one of the above method embodiments can be implemented.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] Embodiments of the present invention provide a method, device, electronic device, and storage medium for configuring shared energy storage for a cluster of new energy stations. The method constructs an energy storage planning model and constraints based on the basic data of the new energy station cluster. By solving the energy storage planning model, the configured power and capacity of the energy storage station to be configured are obtained. Finally, based on the configured power and capacity of the energy storage station to be configured, the shared energy storage for the new energy station cluster is configured.

[0054] The energy storage planning model constructed by the present invention takes into account the net benefits of participating in the day-ahead trading market and the net benefits of participating in the intraday trading market, taking into account the benefit calculations at different time scales; at the same time, the energy storage planning model also introduces the net benefits of participating in the green certificate market, further improving the rationality of energy storage configuration; in addition, in the intraday trading market, the energy mutual assistance between the various new energy sites is achieved through the charging and discharging power of virtual energy storage, thereby obtaining higher economic benefits in the intraday trading market, significantly improving the efficiency of energy storage configuration and resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a flow chart of a method for configuring shared energy storage in a cluster of new energy stations provided by one embodiment of the present invention.

[0056] Figure 2 It is a structural diagram of a new energy station cluster shared energy storage configuration device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0058] like Figure 1 As shown, an embodiment of the present invention provides a method for configuring shared energy storage in a new energy station cluster, which includes at least the following steps:

[0059] Step S1: Obtain basic data of the new energy station cluster.

[0060] It should be noted here that the basic data includes: cost information of each new energy station, hardware parameters of each new energy station, predicted output of each new energy station, cost information of the energy storage station to be configured, clearing prices of the day-ahead trading market, and clearing prices of the intraday trading market. Among them, the predicted output of each new energy station can be used to predict the power output of the station in the future based on weather forecasts and historical data, providing data support for energy balance calculations and benefit estimation in energy storage planning.

[0061] Step S2: Based on the basic data, an energy storage planning model and constraints are constructed with the goal of maximizing the total revenue of the new energy station cluster.

[0062] Specifically, the energy storage planning model considers the net income from participating in the day-ahead trading market, the net income from participating in the intraday trading market, the net income from participating in the green certificate market, and the configuration cost of the energy storage station; the net income from participating in the intraday trading market is calculated based on the winning bid power; the winning bid power is the winning bid power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the constraints include energy storage station investment limit constraints, energy storage capacity constraints, energy storage charging and discharging power constraints, energy storage power balance constraints, new energy station output constraints, winning bid power constraints, power balance constraints, and power purchase and sale status constraints;

[0063] In a preferred embodiment, the energy storage planning model includes:

[0064]

[0065] Where I is the total revenue of the new energy station cluster; is the net income of the i-th new energy station in the day-ahead trading market; is the net income of the i-th new energy station in the intraday trading market; is the net income of the new energy station in the green certificate market; C ess Assign costs to the energy storage station.

[0066] Specifically, the net profit in the day-ahead trading market is calculated using the following formula:

[0067]

[0068] in, is the revenue of the i-th new energy station in the day-ahead trading market; is the daily operation and maintenance cost of the i-th new energy station; is the converted daily investment cost of the i-th new energy station.

[0069] The revenue of the i-th new energy station in the day-ahead trading market Specifically:

[0070]

[0071] Among them, T ope is the operating cycle, usually 24; is the market clearing price at time t; is the winning bid power of the i-th new energy station at time t in the day-ahead market; Δt1 is the time interval for clearing the day-ahead market; it should be noted that the present invention is based on the PAB (Pay as Bid) model for discussion. Under the PAB model, the declared power of each new energy station is used as the winning bid power.

[0072] The daily operation and maintenance cost of the i-th new energy station is specifically:

[0073]

[0074] Where y is the number of days in a year, usually 365; ε i is the equivalent operation and maintenance cost coefficient of the i-th new energy station; is the installed capacity of the i-th new energy station.

[0075] The converted daily investment cost of the i-th new energy station Specifically:

[0076]

[0077] Where r is the discount rate, the recommended value is 3% to 10%; γ re，i is the depreciation period of the i-th new energy station; re，i is the equivalent investment cost coefficient of the i-th new energy station.

[0078] Specifically, the net profit in the intraday trading market is calculated using the following formula:

[0079]

[0080] in, is the income of the i-th new energy station in the intraday market; is the deviation penalty cost of the i-th new energy station; is the daily electricity purchase cost of the i-th new energy station.

[0081] The income of the i-th new energy station in the intraday market Specifically:

[0082]

[0083] in, is the intraday market clearing price at time t; is the winning bid power of the i-th renewable energy station in the intraday market at time t; Δt2 is the time interval between intraday market clearing. It should be noted that this paper is based on the PAB (Pay as Bid) model, in which the bid power of each renewable energy station is used as the winning bid power.

[0084] The deviation penalty cost of the i-th new energy station Specifically:

[0085]

[0086] Among them, δ1 is the positive deviation penalty coefficient; δ2 is the negative deviation penalty coefficient; is the positive deviation power of the i-th new energy station at time t; The electricity purchased by the i-th new energy station from the intraday market at time t.

[0087] In a preferred embodiment, the i-th new energy station has a winning bid power in the intraday market at time t. The winning bid power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the charging and discharging power of the physical energy storage and virtual energy storage affects the winning bid power of the intraday market and electricity purchased from the intraday market Affects net profits in the day trading market.

[0088] Virtual energy storage output power at all times It can be obtained by the following formula:

[0089]

[0090] in, is the discharge power demand of the i-th new energy station at time t; is the charging power demand of the i-th new energy station at time t.

[0091] Physical energy storage output power at time t It can be obtained by the following formula:

[0092]

[0093] in, is the intermediate variable of the physical energy storage output power at time t; is the charging power of the physical energy storage at time t; is the discharge power of the physical energy storage at time t;

[0094] Specifically, the net income of the new energy station in the green certificate market is calculated using the following formula:

[0095]

[0096] Among them, ξ green is the green certificate conversion coefficient; P green is the green certificate price; N is the total number of new energy stations; is the actual output of the i-th new energy station at time t; Δt3 is the time interval for clearing the green certificate market.

[0097] Specifically, the energy storage station configuration cost is calculated using the following formula:

[0098]

[0099] Among them, N2 represents the number of years; C INV is the investment cost; C REP is the replacement cost; C OM，f is the fixed operation and maintenance cost; C OM，v is the variable operation and maintenance cost; C COM is the communication cost between new energy stations; C NEG It is the negotiation cost between new energy stations.

[0100] The investment cost C INV , specifically:

[0101]

[0102] Among them, α p is the power cost coefficient of energy storage; is the upper limit of energy storage power; α E is the capacity cost coefficient of energy storage; is the upper limit of energy storage capacity; α OT Other costs of energy storage include purchase costs and construction costs of supporting equipment.

[0103] The replacement cost C REP , specifically:

[0104]

[0105] Among them, α is the ratio of energy storage cost reduction; k is the number of replacements; T li The life cycle of energy storage;

[0106] The fixed operation and maintenance cost C OM，f , specifically:

[0107]

[0108] Among them, α p，f is the fixed operation and maintenance cost of energy storage power; α E，f Fixed operation and maintenance costs for energy storage capacity.

[0109] The variable operation and maintenance cost C OM，v , specifically:

[0110]

[0111] Among them, T cha How long does it take to charge the energy storage in a day? is the charging power of energy storage at time t; is the charging operation and maintenance cost of energy storage; T dis The discharge duration of the energy storage in a day; The discharge operation and maintenance costs of energy storage; is the discharge power of the energy storage at time t.

[0112] The negotiation cost C between the new energy stations NEG , specifically:

[0113]

[0114] Where β is the negotiation cost coefficient; x i is the negotiation relationship variable between the i-th new energy station and other new energy stations in the cluster. If there is a negotiation relationship, it is 1, otherwise it is 0.

[0115] Specifically, the energy storage station investment limit constraint is:

[0116] C INV +C REP ≤C bug

[0117] The energy storage capacity constraint is:

[0118]

[0119] The energy storage charging and discharging power constraints are:

[0120]

[0121] The energy storage power balance constraint is:

[0122]

[0123] The output constraints of the new energy stations are:

[0124]

[0125] The winning power constraint is:

[0126]

[0127] The power balance constraint is:

[0128]

[0129] The power purchase and sale status constraints are:

[0130]

[0131] Among them, C bug E is the initial investment of the energy storage power station system; max is the upper limit of the energy storage power station capacity; P ves，max is the maximum charge and discharge power of virtual energy storage; X is the constraint coefficient between virtual energy storage and new energy station installed capacity, which is between 0 and 1; is the installed capacity of the i-th new energy station; is the amount of energy stored in the virtual energy storage at time t+1; is the amount of virtual energy storage at time t; Indicates the virtual energy storage capacity at t = 0; is the physical energy storage capacity at time t+1; is the physical energy storage capacity at time t; λ is the charging and discharging efficiency of the physical energy storage; is the charging power of the physical energy storage at time t; is the discharge power of the physical energy storage at time t; The power at the beginning of the physical energy storage cycle; The amount of electricity at the end of the physical energy storage cycle; is the charge and discharge state of the physical energy storage at time t, which is a 0-1 variable. It takes 1 when the physical energy storage is in the charging state and 0 when it is in the discharging state; P pes_cha，max The power limit when charging the physical energy storage; E pes _dis，max The power limit of the physical energy storage when discharging; E pes，min The lower limit of the physical energy storage capacity; E pes，max The upper limit of the amount of energy that can be stored in the entity; is the output upper limit of the i-th new energy station; The predicted output of the i-th new energy station at time t; is the actual output of the i-th new energy station at time t; is the winning bid power of the i-th renewable energy station at time t in the day-ahead market; is the winning bid power of the i-th renewable energy station in the intraday market at time t; is the positive deviation power of the i-th new energy station at time t; U t，iis the electricity purchase and sales status of the i-th new energy station at time t, which is a 0-1 variable. It takes 1 when the electricity is sold and 0 when the electricity is purchased.

[0132] Step S3: Under the constraints, solve the energy storage planning model to generate the configured power and capacity of the energy storage station to be configured.

[0133] In the specific implementation, the constructed energy storage planning model is solved under the premise of satisfying the constraints. ope , the clearing price of the market at time t The time interval Δt1 of the day-ahead market clearing, the number of days in a year y, and the equivalent operation and maintenance cost coefficient ε of the i-th new energy station i , the installed capacity of the i-th new energy station Discount rate r, depreciation period of the i-th new energy station γ re，i , the equivalent investment cost coefficient of the i-th new energy station de re，i , the intraday market clearing price at time t Positive deviation penalty coefficient δ1, negative deviation penalty coefficient δ2, positive deviation power of the i-th new energy station at time t Green Certificate Conversion Factor ξ green , Green Certificate Price P green , the total number of new energy stations N, the actual output of the i-th new energy station at the time The time interval Δt3 of the green certificate market clearing, the number of years N2, and the power cost coefficient α of energy storage p , capacity cost coefficient α of energy storage E , other costs of energy storage α OT , energy storage cost reduction ratio α, replacement times k, energy storage life cycle T li , energy storage power fixed operation and maintenance cost α p，f , fixed operation and maintenance cost of energy storage capacity α E，f , Charging and operation and maintenance costs of energy storage Discharge operation and maintenance costs of energy storage Negotiation cost coefficient β, negotiation relationship variable x between the i-th new energy station and other new energy stations in the cluster i , the initial investment of the energy storage power station system C bug , the upper limit of the capacity of the energy storage power station E max , the constraint coefficient χ between virtual energy storage and new energy station installed capacity, virtual energy storage capacity at t = 0 The charge and discharge efficiency λ of the physical energy storage, the amount of electricity at the beginning of the physical energy storage cycle The output limit of the i-th new energy station The predicted output of the i-th new energy station at time t The actual output of the i-th new energy station at time t Positive deviation power of the i-th new energy station at time t For known data.

[0134] is the winning bid power of the i-th renewable energy station in the day-ahead market at time t, and the winning bid power of the i-th renewable energy station in the intraday market at time t The electricity purchased from the intraday market by the i-th new energy station at time t Discharge power demand of the i-th new energy station at time t Charging power demand of the i-th new energy station at time t Charging power of physical energy storage at all times Discharge power of physical energy storage at any moment Energy storage power limit Energy storage capacity limit The charging time of energy storage in one day is T cha , the charging power of energy storage at time t Discharge time of energy storage in one day T dis , the discharge power of energy storage at time t Maximum charge and discharge power P of virtual energy storage ves，max , the amount of virtual energy storage at time t+1 The amount of virtual energy storage at time t Physical energy storage capacity at time t+1 Physical energy storage capacity at the moment Charging power of physical energy storage at all times Discharge power of physical energy storage at any moment Physical energy storage charging and discharging status at all times The power limit P when charging the physical energy storage pes_cha，max , the power limit P when the physical energy storage is discharged pes_dis，max , the lower limit of physical energy storage capacity E pes ，min , the upper limit of the physical energy storage capacity E pes，max , the amount of electricity at the end of the physical energy storage cycle The electricity purchase and sales status U of the i-th new energy station at time t t，i For unknown data, we need to solve the model to obtain it.

[0135] The electricity purchased from the intraday market by the i-th new energy station at time t Discharge power demand of the i-th new energy station at time t Charging power demand of the i-th new energy station at time t Charging power of physical energy storage at time t Discharge power of physical energy storage at any moment Energy storage power limit Energy storage capacity limit The charging time of energy storage in one day is T cha , the charging power of energy storage at time t Discharge time of energy storage in one day T dis , the discharge power of energy storage at time t Maximum charge and discharge power P of virtual energy storage ves，max , the amount of virtual energy storage at time t+1 The amount of virtual energy storage at time t Physical energy storage capacity at time t+1 Physical energy storage capacity at the moment Charging power of physical energy storage at all times Discharge power of physical energy storage at any moment Physical energy storage charging and discharging status at time t The lower limit of the physical energy storage capacity E pes，min , the upper limit of the physical energy storage capacity E pes，max , the amount of electricity at the end of the physical energy storage cycle is the decision variable.

[0136] Step S4: Perform shared energy storage configuration for the new energy station cluster based on the configured power and capacity of the energy storage station to be configured.

[0137] It should be noted that the configuration of shared energy storage for a cluster of new energy stations is based on the configured power and capacity of the energy storage station to be configured. In this process, by rationally allocating energy storage power and capacity, it is ensured that each new energy station can allocate energy storage resources based on actual demand and predicted output, optimizing the utilization efficiency of energy storage equipment and the scheduling of power resources.

[0138] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0139] like Figure 2 As shown, an embodiment of the present invention provides a new energy station cluster shared energy storage configuration device, including: a basic data acquisition module, a model building module, a model solving module and an energy storage configuration module;

[0140] The basic data acquisition module is used to obtain basic data of the new energy station cluster; wherein the basic data includes: cost information of each new energy station, hardware parameters of each new energy station, predicted output of each new energy station, cost information of the energy storage station to be configured, clearing price of the day-ahead trading market, and clearing price of the intraday trading market;

[0141] The model construction module is used to construct an energy storage planning model and constraints based on the basic data with the purpose of maximizing the total revenue of the new energy station cluster; wherein, the energy storage planning model takes into account the net revenue of participating in the day-ahead trading market, the net revenue of participating in the intraday trading market, the net revenue of participating in the green certificate market, and the configuration cost of the energy storage station; the net revenue of participating in the intraday trading market is calculated based on the winning bid power; the winning bid power is the winning bid power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the constraints include energy storage station investment limit constraints, energy storage capacity constraints, energy storage charging and discharging power constraints, energy storage power balance constraints, new energy station output constraints, winning bid power constraints, power balance constraints, and power purchase and sale status constraints;

[0142] The model solving module is used to solve the energy storage planning model under the constraints to generate the configured power and capacity of the energy storage station to be configured;

[0143] The energy storage configuration module is used to perform shared energy storage configuration of a new energy station cluster according to the configured power and configured capacity of the energy storage station to be configured.

[0144] It should be noted that the embodiments of the device described above correspond to the above-mentioned embodiments of the present invention, and can implement any of the methods described above in the present invention. In addition, the embodiments of the above-mentioned device are merely schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the embodiment of the device provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0145] Based on the above method embodiment of the present invention, a corresponding electronic device embodiment is provided.

[0146] An embodiment of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the new energy station cluster shared energy storage configuration method described in any one of the present inventions, or, when the processor executes the computer program, it implements the functions of each module in the above-mentioned device embodiments.

[0147] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0148] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0149] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0150] The memory can be used to store the computer programs and / or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created based on the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0151] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment;

[0152] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute any of the above-mentioned new energy station cluster shared energy storage configuration methods of the present invention.

[0153] The above-mentioned storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0154] In the description of this specification, the reference terms "one embodiment," "some embodiments," "example," "specific example," or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and integrate different embodiments or examples described in this specification, as well as features of different embodiments or examples, unless they are mutually inconsistent.

[0155] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for configuring shared energy storage in a cluster of new energy stations, characterized in that: include: Obtain basic data for the new energy station cluster; this data includes: cost information for each new energy station, hardware parameters for each new energy station, predicted output for each new energy station, cost information for energy storage stations to be configured, clearing prices for the day-ahead trading market, and clearing prices for the intraday trading market; Based on the basic data, an energy storage planning model and constraints are constructed with the goal of maximizing the total revenue of the new energy station cluster; wherein, the energy storage planning model takes into account the net revenue of participating in the day-ahead trading market, the net revenue of participating in the intraday trading market, the net revenue of participating in the green certificate market, and the configuration cost of the energy storage station; the net revenue of participating in the intraday trading market is calculated based on the winning bid power; the winning bid power is the winning bid power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the constraints include energy storage station investment limit constraints, energy storage capacity constraints, energy storage charging and discharging power constraints, energy storage power balance constraints, new energy station output constraints, winning bid power constraints, power balance constraints, and power purchase and sale status constraints; Under the constraints, the energy storage planning model is solved to generate the configured power and capacity of the energy storage station to be configured; Based on the configured power and capacity of the energy storage station to be configured, configure the shared energy storage of the new energy station cluster; The energy storage station configuration cost is calculated using the following formula: in, represents the discount rate; Indicates the number of years; is the investment cost; For replacement costs; Fixed operation and maintenance costs; Variable operation and maintenance costs; The communication cost between new energy stations; It is the negotiation cost between new energy stations.

2. The method for configuring shared energy storage for a new energy station cluster according to claim 1, wherein: The energy storage planning model includes: in, is the total revenue of the new energy station cluster; For the The net income of each new energy station in the day-ahead trading market; For the Net income of each new energy station in the intraday trading market; For the The net income of each new energy station in the green certificate market; Assign costs to the energy storage station.

3. The method for configuring shared energy storage for a new energy station cluster according to claim 2, wherein: The net profit in the day-ahead market is calculated using the following formula: in, For the The revenue of each new energy station in the day-ahead trading market; For the Daily operation and maintenance costs of a new energy station; For the The converted daily investment cost of a new energy station.

4. The method for configuring shared energy storage for a new energy station cluster according to claim 3, wherein: The net profit in the intraday trading market is calculated by the following formula: in, For the The income of each new energy station in the intraday market; For the Deviation penalty cost for each new energy station; For the The daily electricity purchase cost of a new energy station.

5. The method for configuring shared energy storage for a new energy station cluster according to claim 4, characterized in that: The net income of the new energy station in the green certificate market is calculated using the following formula: in, is the green certificate conversion coefficient; is the green certificate price; is the total number of new energy stations; For the New energy stations Actual output at any given moment; The time interval for clearing the green certificate market.

6. The method for configuring shared energy storage for a new energy station cluster according to claim 5, characterized in that: The energy storage station investment limit constraints are: The energy storage capacity constraint is: The energy storage charging and discharging power constraints are: The energy storage power balance constraint is: The output constraints of the new energy stations are: The winning power constraint is: The power balance constraint is: The power purchase and sale status constraints are: in, Initial system investment for energy storage power stations; The capacity limit of the energy storage power station; is the maximum charge and discharge power of the virtual energy storage; is the constraint coefficient between virtual energy storage and new energy station installed capacity; For the The installed capacity of new energy stations; For virtual energy storage The amount of electricity at the moment; For virtual energy storage The amount of electricity at the moment; express Virtual energy storage capacity at the time for Physical energy storage capacity at the moment; for Physical energy storage capacity at the moment; The charging and discharging efficiency of physical energy storage; for The charging power of the physical energy storage at all times; for The discharge power of the physical energy storage at any moment; The power at the beginning of the physical energy storage cycle; The amount of electricity at the end of the physical energy storage cycle; for The physical energy storage charging and discharging status at all times; The power limit when charging physical energy storage; The power limit for discharging the physical energy storage; The lower limit of the amount of energy stored in the entity; The upper limit of the amount of energy that can be stored in the entity; For the The output limit of each new energy station; For the New energy stations The predicted output at each moment; For the New energy stations Discharge power requirements at all times; For the New energy stations Charging power requirements at all times; For the New energy stations Actual output at any given moment; For the New energy stations in the day-ahead market The winning bid power at the moment; For the New energy stations Time winning power in the intraday market; For the New energy stations Positive deviation power at the moment; For the New energy stations The electricity purchase and sales status at all times.

7. A new energy station cluster shared energy storage configuration device, characterized in that: Also includes: Basic data acquisition module, model building module, model solving module and energy storage configuration module; The basic data acquisition module is used to obtain basic data of the new energy station cluster; wherein the basic data includes: cost information of each new energy station, hardware parameters of each new energy station, predicted output of each new energy station, cost information of the energy storage station to be configured, clearing price of the day-ahead trading market, and clearing price of the intraday trading market; The model construction module is used to construct an energy storage planning model and constraints based on the basic data with the purpose of maximizing the total revenue of the new energy station cluster; wherein, the energy storage planning model takes into account the net revenue of participating in the day-ahead trading market, the net revenue of participating in the intraday trading market, the net revenue of participating in the green certificate market, and the configuration cost of the energy storage station; the net revenue of participating in the intraday trading market is calculated based on the winning bid power; the winning bid power is the winning bid power of the new energy station after the virtual energy storage performs energy mutual assistance for each new energy station; the constraints include energy storage station investment limit constraints, energy storage capacity constraints, energy storage charging and discharging power constraints, energy storage power balance constraints, new energy station output constraints, winning bid power constraints, power balance constraints, and power purchase and sale status constraints; The model solving module is used to solve the energy storage planning model under the constraints to generate the configured power and capacity of the energy storage station to be configured; The energy storage configuration module is used to configure shared energy storage for a new energy station cluster based on the configured power and capacity of the energy storage station to be configured; The energy storage station configuration cost is calculated using the following formula: in, represents the discount rate; Indicates the number of years; is the investment cost; For replacement costs; Fixed operation and maintenance costs; Variable operation and maintenance costs; The communication cost between new energy stations; It is the negotiation cost between new energy stations.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it can implement the new energy station cluster shared energy storage configuration method described in any one of claims 1 to 6.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can implement the new energy station cluster shared energy storage configuration method described in any one of claims 1 to 6.

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