CN-121984056-A - Energy storage layout method for minimizing charging power-off network of new energy delivery base

Abstract

The application relates to an energy storage layout method for minimizing charging power supply capacity of a new energy delivery base, which comprises the following steps of obtaining base data of a power supply to be planned, setting variables to be optimized, calculating annual charging power supply capacity of an energy storage device in the base based on the base data and the variables to be optimized, establishing a nonlinear optimization model by taking the annual charging power supply capacity of the energy storage device in the base as an optimization target and combining the base data and the variables to be optimized, outputting construction power for configuring energy storage for each new energy station and construction power for independent energy storage, introducing intermediate variables to convert the nonlinear optimization model into a linear planning model, and solving to obtain the configuration energy storage and the independent energy storage construction power of the new energy station. According to the application, the energy storage configuration scale of each new energy station in the base is scientifically optimized, so that the energy storage and charging requirements are fully ensured to be supplied by the local new energy electric quantity as much as possible, the minimization of the energy storage and off-grid charging electric quantity of the base is realized, and the energy storage and off-grid charging electric quantity of the base is effectively reduced.

Inventors

• LI JIAMING
• LI HANSHEN
• LI BAOXIAN
• ZHU YANAN
• WU CHENXI
• XU YEYAN
• CUI XUMENG
• LUO XIUZHI
• WANG SHUANG
• ZHANG ENHUI
• LIU QIANG
• WANG QIAN
• WANG YINFENG
• Mou ya
• LIU DONG

Assignees

• 电力规划总院有限公司

Dates

Publication Date

20260505

Application Date

20260209

Claims (10)

1. 1. A new energy delivery base minimum charging power supply off-grid energy storage layout method is characterized by comprising the steps of obtaining planning parameters of a power supply base to be planned, wherein the planning parameters comprise 8760-hour theoretical output power, hour-by-hour total actual power and grid-connected line transmission capacity of a new energy station, setting variables to be optimized, configuring energy storage and independent energy storage construction power for each new energy station, calculating annual charging power supply off-grid energy of an energy storage device in the base based on the planning parameters and the variables to be optimized, establishing a nonlinear optimization model by taking the annual charging power supply off-grid energy of the energy storage device as an optimization target and combining an upper limit of energy storage, an independent energy storage limit, a fixed value of total energy storage of the base, an upper limit of output of the station and total output constraint of the base, introducing intermediate variables, converting the nonlinear optimization model into a linear planning model, and solving to obtain the construction power values of the new energy station configuration energy storage and the independent energy storage.
2. 2. The energy storage layout method for minimizing the power-on-line charge of the new energy delivery base according to claim 1, wherein the step of obtaining the planning parameters of the power base to be planned comprises the following steps: Acquiring annual 8760-hour theoretical output power of each new energy station based on the installed scale of each new energy station in the power supply base and the historical wind and light resource characteristics of the corresponding geographic position; Acquiring the upper limit of the construction power of the configurable energy storage device of each new energy station; based on 8760 hours production operation simulation, the total power generation power of all new energy stations in the base is obtained from time to time in a year, and the total charging power of the energy storage device in the base from time to time is obtained.
3. 3. The energy storage layout method for minimizing the power consumption of charging and discharging a new energy delivery base according to claim 1, wherein calculating the power consumption of charging and discharging an energy storage device in the base year by year comprises: determining a normalized charging power curve of the base energy storage device at the t hour; Calculating the charging quantity of the independent energy storage off-grid; calculating the power of the station side energy storage and off-grid charging; and calculating the annual charging and network-surfing electric quantity of the energy storage device in the base.
4. 4. The energy storage layout method for minimizing the power under charging of the new energy delivery base according to claim 3 is characterized in that the normalized charging power curve is generated by fusing a time sequence flexible variable with a basic priority coefficient.
5. 5. The energy storage layout method for minimizing the power of the charging and discharging network by using the new energy delivery base as claimed in claim 1, wherein the energy storage device in the base comprises a new energy station configuration energy storage device and an independent energy storage device.
6. 6. The energy storage layout method for minimizing the power consumption of charging a new energy delivery base according to claim 4, wherein calculating the power consumption of charging the energy storage device in the base all the year round comprises the following steps: The method comprises the steps of configuring energy storage device construction power and total independent energy storage device construction power based on a new energy station in a variable to be optimized, and determining rated charging power upper limit of each energy storage device in a base; The method comprises the steps of obtaining output power of a new energy station in a base at the t hour and transmission margin of an extra-high voltage channel at the t hour, defining a time sequence flexible variable as a real-time fluctuation coefficient of the channel transmission margin, and defining a basic priority coefficient as charging priority weight of each energy storage device; Fusing the rated charging power upper limit and the time sequence flexible variable to generate a dynamic normalized charging power curve of the base energy storage device at the t hour; Based on the dynamic normalized charging power curve, respectively calculating the charging power of the independent energy storage device at the t hour and the charging power of the new energy station configuration energy storage device at the t hour; calculating the annual off-grid charging electric quantity of the independent energy storage device, and calculating the annual off-grid charging electric quantity of the new energy station configuration energy storage device; And summarizing annual off-grid charging electric quantity of the independent energy storage device and the new energy station configuration energy storage device, obtaining annual off-grid charging electric quantity of the energy storage device in the base, and taking the annual off-grid charging electric quantity as an objective function of the optimization model.
7. 7. The energy storage layout method for minimizing the power of the charging and discharging network by using the new energy delivery base as claimed in claim 6, wherein the constraint condition of the linear programming model comprises the following steps: The construction power of the new energy station configuration energy storage device does not exceed the upper limit of the construction; Constructing power constraint of the independent energy storage device; the total power of the energy storage device construction in the base is equal to the target value; The output power of each new energy station does not exceed the theoretical output power; the total output power of the new energy station is equal to the 8760-hour production operation simulation result of the base station; Intermediate variable constraints.
8. 8. The energy storage layout method for minimizing the power of the charging and discharging network of the new energy delivery base according to claim 1, further comprising solving the linear programming model by a business solver to obtain the construction power of each new energy station configuration energy storage and the construction power of independent energy storage.
9. 9. The energy storage layout method for minimizing the power-on-grid charge of the new energy delivery base according to claim 8 is characterized by constructing a 8760-hour production operation simulation model based on a solving result, accessing a digital twin platform to restore a full-time sequence and full-working condition operation scene, inputting theoretical output of each station, an energy storage charging curve and grid-connected constraint parameters, calculating the actual power-on-grid charge through simulation, calculating a deviation rate, and performing simulation verification.
10. 10. An energy storage layout system adopting the energy storage layout method for minimizing the charging power-off network of the new energy delivery base according to any one of claims 1-9 comprises a data acquisition module, an energy storage power-off network charging power calculation module, an optimization model construction module, a model solving module, a layout scheme output module and a feedback adjustment module, and is characterized in that: The data acquisition module is used for acquiring planning parameters of a base to be planned; The energy storage off-grid charging electric quantity calculation module is used for respectively calculating the independent energy storage off-grid charging electric quantity and the energy storage off-grid charging electric quantity at each station side based on the basic data provided by the data acquisition module, integrating the flexible variables of the energy storage charging time sequence, generating an energy storage normalized charging power curve; The optimization model construction module is used for constructing an optimization model comprising variables such as energy storage configuration scale, station output power, time sequence charging priority and the like by taking the annual offline charging electric quantity of the base as a target, and introducing intermediate variables to convert a nonlinear objective function into a standard linear programming model; the model solving module is used for solving the converted linear programming model by adopting a commercial linear programming solver; the layout scheme output module is used for sorting the solving result into a standardized energy storage layout scheme and visually outputting the standardized energy storage layout scheme; and the feedback adjustment module is connected with the digital twin platform to simulate for 8760 hours, calculates the deviation rate and adjusts the energy storage configuration parameters.

Description

Energy storage layout method for minimizing charging power-off network of new energy delivery base Technical Field The application relates to the technical field of energy storage systems, in particular to an energy storage layout method for minimizing the power of a charging and discharging network of a new energy delivery base. Background The patent CN202411964459.3 discloses a new energy base configuration energy storage effect evaluation method based on a typical scene, which comprises the following steps of S1, obtaining historical output data of the new energy base in a time period, S2, setting the number of the typical scenes, selecting a plurality of typical days by adopting a clustering algorithm according to the historical output data of the new energy every day to obtain the new energy historical output data of the j typical days as the proportion of each day belonging to the j typical scenes in a time scale T, S3, evaluating the stable output fluctuation capacity of the new energy after configuration energy storage, compensating the power prediction error capacity, reducing the abandoned electric energy capacity, participating in the frequency modulation capacity and participating in the system peak regulation capacity, S4, comprehensively evaluating the effect of the new energy configuration energy storage based on a main hierarchy analysis method, and the comprehensive evaluation index can be used as a technical evaluation reference of the new energy base energy storage capacity configuration stage or a post evaluation of actual configuration energy storage. Patent CN202510073913.4, "New energy Power energy storage planning method, device, equipment, storage Medium and product", discloses a New energy Power energy storage planning method, device, equipment, storage Medium and product. The method comprises the steps of obtaining current meteorological data of an area where power equipment is located, predicting power energy and power consumption of the power equipment by using a preset power output and consumption prediction model according to the current meteorological data and a current time period, and generating an energy storage configuration scheme according to the power energy and the power consumption. According to the technical scheme provided by the invention, through considering the association relation between the meteorological data change and the output and the consumption of the new energy power system, the change of the consumption demand of the power demand end on the power under different meteorological characteristics is considered, and the influence of the meteorological change on the capacity of the new energy power system is also considered, so that the output and the consumption of the new energy power system are predicted more accurately, the accuracy and the effectiveness of energy storage configuration planning are improved, and the resource utilization rate and the system safety are further improved. The paper (energy storage optimizing configuration method considering the frequency stability of new energy base under the support of no conventional power supply in situ) is published in China motor engineering report in 2024, and the construction of wind-light-storage bases in desert, gobi and desert areas is a main mode for promoting the large-scale development of new energy. However, in the scene of no conventional power supply support, the new energy power generation and direct current coordination capability is insufficient, and the problems of stable base frequency and the like are outstanding. The method constructs reasonable virtual inertia according to wind-light-storage and transportation characteristics at a new energy base taking control as a main control, further explores the influence of network-following control and network-constructing control strategies on frequency response, and establishes a frequency response model containing various control strategies. The energy storage power station has great advantages in the aspects of rapid frequency response and flexible adjustment of new energy fluctuation. In an energy storage planning model, an energy storage optimizing configuration method considering a direct current operation mode is provided, and frequency safety and stability constraint is embedded in a typical operation scene. And (5) setting an example based on new energy base planning guidelines in northwest regions, and verifying the rationality and effectiveness of the proposed model. The energy storage planning method can ensure the stability of the base frequency, and provides a new idea for energy storage configuration in a scene without conventional power supply support. The existing high-proportion new energy power supply base energy storage planning layout technology has the following defects that (1) the optimization target is selected, the existing energy storage planning is more aimed at inhibiting new energy output fluctuation, improving