CN-121998334-A - Method and device for configuring capacity of hybrid energy storage system, power equipment and storage medium

CN121998334ACN 121998334 ACN121998334 ACN 121998334ACN-121998334-A

Abstract

The invention discloses a capacity configuration method, a device, power equipment and a storage medium of a hybrid energy storage system, and relates to the technical field of power energy storage, wherein the method comprises the steps of obtaining an initial capacity configuration parameter set of the hybrid energy storage system and the occurrence probability of a target energy storage scene in a typical scene; the method comprises the steps of calculating energy storage cost of a hybrid energy storage system based on initial capacity configuration parameters in an initial capacity configuration parameter set to obtain an energy storage cost set and operation income of the hybrid energy storage system in a target energy storage scene to obtain an operation income set, solving an operation output curve set of the hybrid energy storage system according to the occurrence probability of the target energy storage scene and the operation income set, solving a capacity optimization configuration parameter set of the hybrid energy storage system according to the operation output curve set and the energy storage cost set, and carrying out capacity configuration on various types of energy storage equipment in the hybrid energy storage system by utilizing target capacity optimization configuration parameters in the capacity optimization configuration parameter set. The invention improves the capacity configuration reliability of the hybrid energy storage system.

Inventors

LIN ENDE
CHENG LIN
LI YUXIN
HE PENGFEI
YU QI
TANG BOJIN
ZHANG ZIYONG
Jia Shaorong

Assignees

中国长江三峡集团有限公司
清华大学

Dates

Publication Date: 20260508
Application Date: 20260122

Claims (10)

1. A method for configuring capacity of a hybrid energy storage system, the method comprising: Acquiring an initial capacity configuration parameter set of a hybrid energy storage system and the occurrence probability of a target energy storage scene in a typical scene set; Calculating energy storage cost of the hybrid energy storage system based on any initial capacity configuration parameter in the initial capacity configuration parameter set to obtain an energy storage cost set, and calculating operation income of the hybrid energy storage system in a target energy storage scene to obtain an operation income set; according to the occurrence probability of the target energy storage scene and the operation income set, solving the operation output curves of various types of energy storage equipment in the hybrid energy storage system to obtain the operation output curve set of the hybrid energy storage system; According to the running output curve set and the energy storage cost set, solving capacity optimization configuration parameters of various energy storage devices in the hybrid energy storage system to obtain a capacity optimization configuration parameter set; and performing capacity configuration on various types of energy storage equipment in the hybrid energy storage system by utilizing the target capacity optimization configuration parameters in the capacity optimization configuration parameter set.
2. The method of claim 1, wherein the initial capacity configuration parameters comprise a first equivalent value coefficient and a first energy storage parameter of a first type of energy storage device in the hybrid energy storage system, a second equivalent value coefficient and a second energy storage parameter of a second type of energy storage device, the equivalent value coefficients being determined based on a lifetime and a discount rate of the energy storage device, the first energy storage parameter comprising a first power coefficient and a first rated power, the second energy storage parameter comprising a second power coefficient, a second rated power, a rated energy, and an energy coefficient, and calculating an energy storage cost of the hybrid energy storage system based on the initial capacity configuration parameters comprises: Calculating a first energy storage cost of the first type of energy storage device based on the first equivalent coefficient and the first energy storage parameter; calculating a second energy storage cost of the second class of energy storage devices based on the second equivalent coefficient and the second energy storage parameter; and calculating the energy storage cost of the hybrid energy storage system according to the first energy storage cost and the second energy storage cost.
3. The method of claim 1, wherein the initial capacity configuration parameters further comprise energy storage output of each type of energy storage device, calculating an operational yield of the hybrid energy storage system in a target energy storage scenario based on the initial capacity configuration parameters, comprising: Acquiring the online electricity price of the hybrid energy storage system under a target energy storage scene and the running cost of various energy storage devices; And calculating the operation income of the hybrid energy storage system in a target energy storage scene based on the energy storage output, the online electricity price and the operation cost.
4. The method of claim 1, wherein the solving the operational output curves of the various types of energy storage devices in the hybrid energy storage system according to the occurrence probability of the target energy storage scenario and the operational revenue set to obtain the operational output curve set of the hybrid energy storage system comprises: constructing an operation output function based on the occurrence probability of the target energy storage scene and the operation income set; Establishing a first constraint of the running output function, wherein the first constraint comprises a maximum output constraint, a thermal power output constraint and an energy storage output constraint; Solving an operation output time sequence data set of each type of energy storage equipment in the hybrid energy storage system based on the first constraint, the occurrence probability of the target energy storage scene and the operation income set; And determining an operation output curve set of the hybrid energy storage system according to the operation output curves corresponding to the operation output time sequence data in the operation output time sequence data set.
5. The method of claim 1, wherein the solving the capacity-optimized configuration parameters of each type of energy storage device in the hybrid energy storage system according to the running output curve set and the energy storage cost set to obtain a capacity-optimized configuration parameter set includes: constructing a capacity configuration function based on the running output curve set and the energy storage cost set; Establishing a second constraint of the capacity configuration function, wherein the second constraint comprises an energy storage state-of-charge constraint and an operation boundary constraint; and solving capacity optimization configuration parameters of various types of energy storage equipment in the capacity configuration function hybrid energy storage system based on the second constraint, the running output curve set and the energy storage cost set to obtain the capacity optimization configuration parameter set.
6. The method of claim 1, wherein the capacity configuring each type of energy storage device in the hybrid energy storage system with the target capacity optimizing configuration parameter in the set of capacity optimizing configuration parameters comprises: Selecting target capacity optimization configuration parameters from the capacity optimization configuration parameter sets, and constructing candidate configuration parameter sets; And determining a target capacity optimization configuration parameter based on the parameter scores of the candidate configuration parameters in the candidate configuration parameter set, and carrying out capacity configuration on various types of energy storage equipment in the hybrid energy storage system by utilizing the target capacity optimization configuration parameter.
7. The method of claim 6, wherein determining the target capacity-optimized configuration parameter based on the parameter scores for each candidate configuration parameter in the set of candidate configuration parameters comprises: Calculating operation index data, power generation cost data and environmental benefit data corresponding to each candidate configuration parameter, wherein the operation index data comprises energy storage output and energy storage utilization rate, and the environmental benefit data comprises carbon dioxide emission and renewable energy utilization rate; Calculating parameter scores of each candidate configuration parameter based on the operation index data, the power generation cost data and the environmental benefit data; and selecting the candidate configuration parameter with the highest parameter score as the target capacity optimization configuration parameter.
8. A hybrid energy storage system capacity allocation apparatus, the apparatus comprising: The data acquisition module is used for acquiring an initial capacity configuration parameter set of the hybrid energy storage system and the occurrence probability of a target energy storage scene in a typical scene set; The cost calculation module is used for calculating the energy storage cost of the hybrid energy storage system based on any initial capacity configuration parameter in the initial capacity configuration parameter set to obtain an energy storage cost set, and calculating the operation income of the hybrid energy storage system in a target energy storage scene to obtain an operation income set; the operation output module is used for solving the operation output curves of various types of energy storage equipment in the hybrid energy storage system according to the occurrence probability of a target energy storage scene and the operation income set to obtain an operation output curve set of the hybrid energy storage system; The parameter solving module is used for solving the capacity optimizing configuration parameters of various energy storage devices in the hybrid energy storage system according to the running output curve set and the energy storage cost set to obtain a capacity optimizing configuration parameter set; And the capacity configuration module is used for carrying out capacity configuration on various types of energy storage equipment in the hybrid energy storage system by utilizing the target capacity optimization configuration parameters in the capacity optimization configuration parameter set.
9. An electrical device, comprising: A memory and a processor in communication with each other, the memory having stored therein computer instructions which, upon execution, cause the processor to perform the method of any of claims 1 to 7.
10. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1 to 7.

Description

Method and device for configuring capacity of hybrid energy storage system, power equipment and storage medium Technical Field The invention relates to the technical field of electric power energy storage, in particular to a capacity configuration method and device of a hybrid energy storage system, electric equipment and a storage medium. Background The reasonable optimization configuration of various energy storage resources and the cooperative stable operation with multiple types of power supplies are important bases for realizing the efficient delivery and the consumption of a large-scale new energy base and the reliable power supply support. However, the capacity configuration of the hybrid energy storage system in the related art has a problem of low reliability. Disclosure of Invention In view of the above, the embodiments of the present invention provide a method, an apparatus, a power device and a storage medium for configuring the capacity of a hybrid energy storage system, so as to solve the problem of low reliability in the capacity configuration of the hybrid energy storage system in the related art. In a first aspect, an embodiment of the present invention provides a method for configuring a capacity of a hybrid energy storage system, where the method includes: Acquiring an initial capacity configuration parameter set of a hybrid energy storage system and the occurrence probability of a target energy storage scene in a typical scene set; calculating energy storage cost of the hybrid energy storage system based on initial capacity configuration parameters in the initial capacity configuration parameters to obtain an energy storage cost set, and calculating operation profits of the hybrid energy storage system in a target energy storage scene to obtain an operation profits set; According to the occurrence probability and the operation income set of the target energy storage scene, solving the operation output curves of various energy storage devices in the hybrid energy storage system to obtain the operation output curve set of the hybrid energy storage system; According to the running output curve set and the energy storage cost set, solving capacity optimization configuration parameters of various types of energy storage equipment in the hybrid energy storage system to obtain a capacity optimization configuration parameter set; And performing capacity configuration on each type of energy storage equipment in the hybrid energy storage system by utilizing the target capacity optimization configuration parameters in the capacity optimization configuration parameter set. According to the capacity configuration method of the hybrid energy storage system, the energy storage cost set is obtained by calculating the energy storage cost of the hybrid energy storage system based on the initial capacity configuration parameters in the initial capacity configuration parameter set, the operation benefit set is obtained by calculating the operation benefit of the hybrid energy storage system in the target energy storage scene, the operation output curves of various types of energy storage devices in the hybrid energy storage system are solved according to the occurrence probability and the operation benefit set of the target energy storage scene, the operation output curve set of the hybrid energy storage system is obtained, the capacity optimization configuration parameters of various types of energy storage devices in the hybrid energy storage system are solved according to the operation output curve set and the energy storage cost set, the capacity optimization configuration parameter set is obtained, the target capacity optimization configuration parameters are further selected by utilizing the capacity optimization configuration parameter set, so that the total cost benefit of the hybrid energy storage system is optimized, the balance of the energy storage cost and the operation benefit is comprehensively considered in the solving process, the configuration scheme in different target energy storage scenes is guaranteed to have high robustness, and finally, the capacity optimization configuration reliability of the hybrid energy storage system is improved by iteratively updating the initial capacity configuration parameter set. In one possible embodiment, the initial capacity configuration parameters include a first equivalent value coefficient and a first energy storage parameter of a first type of energy storage device in the hybrid energy storage system, the equivalent value coefficient being determined based on a lifetime and a discount rate of the energy storage device, a second equivalent value coefficient and a second energy storage parameter of a second type of energy storage device, the first energy storage parameter including a first power coefficient and a first rated power, the second energy storage parameter including a second power coefficient, a second rated power, a rated energy and an en