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CN-122000969-A - Electrochemical energy storage robust configuration method, system, equipment and storage medium for supporting new energy base delivery

CN122000969ACN 122000969 ACN122000969 ACN 122000969ACN-122000969-A

Abstract

The invention discloses an electrochemical energy storage robust configuration method, a system, equipment and a storage medium for supporting the output of a new energy base, and relates to the technical field of power system planning and operation, wherein the method comprises the steps of constructing an objective function based on energy storage equipment configuration parameters, new energy power generation state variables and conventional power supply operation state variables, and establishing an energy storage optimal configuration model considering system operation cost and energy storage investment cost; taking the direct current channel capacity, the operation characteristics of the energy storage equipment and the uncertainty of new energy output into consideration, and establishing constraint conditions of an energy storage optimization configuration model; the invention can ensure the reliability of power delivery under the extremely uncertain condition of wind and light output, realize the total cost optimization of the whole life cycle and provide a scientific and landable energy storage configuration scheme.

Inventors

  • ZHANG XIUZHAO
  • CHEN WEN
  • GUO QIANG
  • DU TING
  • PU YUNXING
  • GAO YUHANG
  • QIAN FUJUN
  • CHEN FEIFAN
  • GAO SHAOYUN
  • LU YIPING
  • WANG LINGYI
  • XUN BINBIN
  • WANG ZHIMIN
  • ZHAO SHUANG
  • LIN SONGTAO
  • CHEN YU
  • LIU JUAN

Assignees

  • 云南电网有限责任公司
  • 南方电网科学研究院有限责任公司

Dates

Publication Date
20260508
Application Date
20260121

Claims (10)

  1. 1. An electrochemical energy storage robust configuration method for supporting new energy base delivery, comprising the steps of: constructing an objective function based on configuration parameters of energy storage equipment, new energy power generation state variables and conventional power supply operation state variables, and establishing an energy storage optimization configuration model considering system operation cost and energy storage investment cost; Taking the direct current channel capacity, the operation characteristics of the energy storage equipment and the uncertainty of new energy output into consideration, and establishing constraint conditions of an energy storage optimization configuration model; solving the energy storage optimization configuration model based on the nested column constraint generation algorithm to obtain an optimal configuration scheme of energy storage power and capacity.
  2. 2. The method for supporting the electrochemical energy storage robust configuration of the new energy base as claimed in claim 1, wherein the constructing an objective function based on the configuration parameters of the energy storage device, the power generation state variable of the new energy and the operation state variable of the conventional power supply, and the constructing an energy storage optimal configuration model considering the operation cost of the system and the investment cost of energy storage comprises: Constructing an objective function aiming at minimizing the total cost of the system based on the configuration parameters of the energy storage equipment, the new energy power generation state variables and the conventional power operation state variables; The total cost of the system includes the cost of system operation and the energy storage investment cost.
  3. 3. The method for supporting electrochemical energy storage robust configuration of new energy base delivery according to claim 2, wherein the constructing an objective function based on the configuration parameters of the energy storage device, the power generation state variables of the new energy and the operation state variables of the conventional power supply, and the constructing an energy storage optimization configuration model considering the operation cost of the system and the investment cost of energy storage further comprises: the system running cost is calculated through a multi-scene running cost model, the multi-scene running cost model is generated based on typical daily running scene clusters, seasonal characteristics and weather types are considered, and the system running cost, the carbon emission cost and the abandoned wind and abandoned light punishment cost are covered; The energy storage investment cost is calculated based on the full life cycle cost.
  4. 4. The method for supporting new energy base delivery electrochemical energy storage robust configuration according to claim 3, wherein the establishing constraint conditions of the energy storage optimal configuration model taking into consideration direct current channel capacity, energy storage device operation characteristics and new energy output uncertainty comprises: Establishing a direct current channel capacity constraint for limiting the outgoing power not to exceed a transmission upper limit; And establishing a new energy base operation constraint for maintaining system power balance, wherein the system power balance is related to the output of a conventional power supply, the actual output of the new energy, the stored energy charge and discharge power and the direct current output power.
  5. 5. The method for supporting new energy base delivery electrochemical energy storage robust configuration of claim 4, wherein the establishing constraint conditions of the energy storage optimal configuration model taking into account direct current channel capacity, energy storage device operating characteristics and new energy output uncertainty further comprises: Establishing operation constraint of the energy storage equipment, which is used for limiting a charging and discharging power range and a stored energy state range and ensuring mutual exclusion of charging and discharging states; And establishing a new energy output uncertainty constraint, modeling output fluctuation based on a bounded uncertainty set of a time uncertainty budget, and controlling the accumulation degree of uncertainty in a time dimension.
  6. 6. The method for supporting electrochemical energy storage robust configuration of new energy base delivery according to claim 5, wherein the solving the energy storage optimal configuration model based on the nested column constraint generation algorithm to obtain the optimal configuration scheme of energy storage power and capacity comprises: Decomposing the energy storage optimal configuration model into two-stage optimization problems, including determining a main problem of an energy storage configuration scheme and simulating a sub-problem of a worst operation scene under a given configuration; And carrying out iterative solution on the main problem and the sub-problem based on a nested column constraint generation algorithm.
  7. 7. The method for supporting electrochemical energy storage robust configuration of new energy base delivery according to claim 6, wherein the solving the energy storage optimal configuration model based on the nested column constraint generation algorithm to obtain the optimal configuration scheme of energy storage power and capacity comprises: the iterative solving process comprises the following steps: initializing an energy storage configuration scheme; In the first iteration step, solving a main problem to obtain a current energy storage configuration scheme and a total cost lower bound of a system; In the second iteration step, fixing the current energy storage configuration scheme, solving the sub-problem, searching the worst scene with the highest running cost of the system in a preset new energy output uncertain set, and obtaining the corresponding upper limit of the total cost of the system; Adding the worst scene identified by the sub-problem as a new constraint condition into the main problem; Repeating the first iteration step and the second iteration step until the difference between the upper bound and the lower bound of the total cost of the system meets a preset convergence condition, and obtaining an energy storage configuration scheme which is the optimal configuration scheme.
  8. 8. An electrochemical energy storage robust configuration system supporting new energy base delivery, applying the method of any one of claims 1-7, comprising: the energy storage optimization configuration model construction module is used for constructing an objective function based on the configuration parameters of the energy storage equipment, the new energy power generation state variables and the conventional power supply operation state variables, and constructing an energy storage optimization configuration model considering the system operation cost and the energy storage investment cost; The uncertainty constraint integration module is used for taking the direct current channel capacity, the operation characteristics of the energy storage equipment and the uncertainty of new energy output into consideration, and establishing constraint conditions of the energy storage optimization configuration model; and the two-stage algorithm solving module is used for solving the energy storage optimization configuration model based on the nested column constraint generating algorithm to obtain an optimal configuration scheme of energy storage power and capacity.
  9. 9. An electronic device, comprising: A memory and a processor; The memory is for storing computer executable instructions, the processor being for executing the computer executable instructions which when executed by the processor implement the steps of the method of any one of claims 1 to 7.
  10. 10. A computer-readable storage medium, characterized in that it stores computer-executable instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 7.

Description

Electrochemical energy storage robust configuration method, system, equipment and storage medium for supporting new energy base delivery Technical Field The invention relates to the technical field of planning and operation of power systems, in particular to an electrochemical energy storage robust configuration method, system, equipment and storage medium for supporting the output of a new energy base. Background The large wind-solar new energy power generation base mainly adopts an extra-high voltage direct current mode to transmit clean power to a load center. However, the new energy output has intermittence and fluctuation, and seriously affects the power output efficiency. In the prior art, the model selection and optimization research of the current collection circuit are carried out aiming at special climates and geological conditions of Sha Gehuang large-base wind power projects, so that the planning cost is saved and the operation reliability is improved. The literature provides an improved named entity recognition algorithm, a knowledge graph body layer is constructed on the basis of analyzing new energy large-base engineering, and engineering data collection and analysis efficiency and power delivery efficiency are improved. However, the above method is mainly aimed at the configuration of the base and the power transmission planning for analysis, and the optimal configuration of flexible adjustment resources is not yet available. Disclosure of Invention In view of the above-mentioned problems, the present invention provides a robust configuration method, system, device and storage medium for supporting electrochemical energy storage of new energy base delivery. Therefore, the invention solves the technical problem of how to provide an electrochemical energy storage system optimal configuration method which is economical and ensures the power supply reliability for a large-scale new energy direct current delivery base under the premise of considering the extreme uncertainty of wind and light output. In order to solve the technical problems, the invention provides the following technical scheme: in a first aspect, the present invention provides a robust configuration method for supporting electrochemical energy storage of a new energy base, including: constructing an objective function based on configuration parameters of energy storage equipment, new energy power generation state variables and conventional power supply operation state variables, and establishing an energy storage optimization configuration model considering system operation cost and energy storage investment cost; Taking the direct current channel capacity, the operation characteristics of the energy storage equipment and the uncertainty of new energy output into consideration, and establishing constraint conditions of an energy storage optimization configuration model; solving the energy storage optimization configuration model based on the nested column constraint generation algorithm to obtain an optimal configuration scheme of energy storage power and capacity. As a preferred scheme of the electrochemical energy storage robust configuration method supporting the new energy base delivery, the method comprises the following steps: The energy storage device configuration parameter, the new energy power generation state variable and the conventional power supply operation state variable are used for constructing an objective function, and the energy storage optimization configuration model considering the system operation cost and the energy storage investment cost is constructed by the following steps: Constructing an objective function aiming at minimizing the total cost of the system based on the configuration parameters of the energy storage equipment, the new energy power generation state variables and the conventional power operation state variables; The total cost of the system includes the cost of system operation and the energy storage investment cost. As a preferred scheme of the electrochemical energy storage robust configuration method supporting the new energy base delivery, the method comprises the following steps: The building of the objective function based on the energy storage equipment configuration parameters, the new energy power generation state variables and the conventional power supply operation state variables, and the building of the energy storage optimization configuration model considering the system operation cost and the energy storage investment cost further comprises the following steps: the system running cost is calculated through a multi-scene running cost model, the multi-scene running cost model is generated based on typical daily running scene clusters, seasonal characteristics and weather types are considered, and the system running cost, the carbon emission cost and the abandoned wind and abandoned light punishment cost are covered; The energy storage investment cost is calculated based o