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CN-121996868-A - Shared energy storage share allocation calculation method based on tide tracking and cooperative game

CN121996868ACN 121996868 ACN121996868 ACN 121996868ACN-121996868-A

Abstract

The invention relates to a shared energy storage share allocation calculation method based on trend tracking and cooperative game, which comprises the steps of collecting electric power data; and constructing a shared energy storage expense allocation calculation method model based on a power flow tracking method and a Shapley value, inputting the acquired power data into the model, and outputting the model to obtain each allocation share. The shared energy storage expense allocation calculation method based on the trend tracking and the cooperative game is constructed. The system comprehensively considers the factors of rural users such as the use proportion of energy storage, the use power, the power supply quality, the benefit improvement, the participation wish and the like, and realizes a fair, reasonable and transparent payment system among various users.

Inventors

  • WANG JIARUI
  • LI PEI
  • ZHANG GUICHENG
  • Duan Mengcong
  • MA ZHONGWEI
  • ZHAO HONGYANG
  • GAO SONG
  • ZHANG YIFU
  • ZHANG JIAJUN
  • LAN HAITAO
  • ZHANG HAIFENG
  • TIAN SHIJIE
  • LI DEXIN
  • LI CHENGGANG
  • GE ZHICHENG
  • DONG HONGDA

Assignees

  • 国网吉林省电力有限公司电力科学研究院
  • 吉林省电力科学研究院有限公司

Dates

Publication Date
20260508
Application Date
20251202

Claims (4)

  1. 1. The shared energy storage share allocation calculation method based on the trend tracking and cooperative game is characterized by comprising the following steps of: Step1, collecting electric power data; Step 2, constructing a shared energy storage expense allocation calculation method model based on a power flow tracking method and a cooperative game, and inputting collected power data into the model; and 3, outputting the model to obtain each share.
  2. 2. The method for sharing and calculating the energy storage expense based on the trend tracking and the cooperative game according to claim 1, wherein the step 2 is based on an allocation model of the trend tracking method and the cooperative game: ; Wherein, the The distribution coefficients are obtained for the normalization process, To obtain an apportioned share of node i based on the allocation coefficient, To be an overall cost to be amortized.
  3. 3. The shared energy storage expense allocation calculation method based on the trend tracking and cooperative game according to claim 2, wherein the calculation method for obtaining the allocation coefficient by normalization processing is as follows: ; ; Wherein, the Representing a user N is the set of all users and S is the non-inclusive user Is a subset of the set of (c), Is a benefit function of the subset S, For the number of users of the subset S, For the total number of users, For users Marginal contribution when adding subset S.
  4. 4. The method for sharing and calculating the energy storage expense based on the trend tracking and the cooperative game according to claim 3, wherein the user The calculation method of the marginal contribution when adding the subset S is: ; ; Wherein, the For the load weight of the node i, Representing the power supply quality improving effect of the node i, which can be calculated according to the power quality index, Representing the willingness coefficient of the node i, For a newly-added set of devices, Representing the contribution factor of user i to the newly added device k and, therefore, Representing the contribution factor of the node i to the retrofit measure based on the current tracking, Representing the aggregate revenue of the ith user after the jth user configures the device, Marginal contributions when adding subset S to user i.

Description

Shared energy storage share allocation calculation method based on tide tracking and cooperative game Technical Field The invention belongs to the technical field of power grid control, and particularly relates to a shared energy storage share allocation calculation method based on trend tracking and cooperative game. Background As an end link of a power system, the rural power distribution network has the common problems of long power supply radius, low load density, equipment aging and the like, so that voltage deviation is large and power supply reliability is low. With the rapid popularization of distributed new energy in rural areas, the intermittent output and anti-peak shaving characteristics further aggravate the running pressure of the power grid, and the risks of local overload and voltage out-of-limit are obviously increased. Under the background, the shared energy storage technology becomes an effective solution for improving the bearing capacity and the running efficiency of the rural power distribution network. By configuring the shared energy storage system at the key node, the space-time translation of electric energy can be realized, the line blockage is effectively relieved, the voltage quality is improved, the power supply is used as an emergency power supply when a fault occurs, and the power supply reliability is remarkably improved. However, the initial investment and operation costs of energy storage facilities are high, and how to fairly and reasonably share these costs among many beneficiary users becomes a key bottleneck restricting the large-scale application of the technology in rural areas. The traditional cost sharing calculation method, such as cost sharing according to the power consumption or transformer capacity proportion, is difficult to adapt to rural complex electric field scenes. Rural users are various in types, and the calling time period, frequency and dependence degree of different types of users on energy storage are obviously different. If a cut-off allocation mode is adopted, the user may be frustrated and the enthusiasm is hindered, and the project is prevented from being implemented smoothly. The tide tracking method can reversely trace the source from the load node to the energy storage equipment through countercurrent tracking, accurately calculates the actual occupation proportion of each user to the energy storage and discharge capacity, provides transparent quantitative indexes with physical basis for cost allocation, and lays a foundation for commercialized popularization of rural shared energy storage projects. Disclosure of Invention The invention aims to overcome the defects of the prior art, provides a shared energy storage expense allocation calculation method based on trend tracking and cooperative game, comprehensively considers factors such as the use proportion of rural users to energy storage, the use power, the power supply quality improvement benefit, participation willingness and the like, and realizes fair, reasonable and transparent allocation of cost among various users. The invention solves the technical problems by adopting the following technical scheme: The shared energy storage expense allocation calculation method based on the tide tracking and the cooperative game comprises the following steps: Step1, collecting electric power data; step 2, constructing a cost allocation calculation method model based on a power flow tracking method and a cooperative game, and inputting collected power data into the model; and 3, outputting the model to obtain each share. In the step 2, a cost allocation calculation method model based on a power flow tracking method and a cooperative game is provided: Wherein, the The distribution coefficients are obtained for the normalization process,To obtain an apportioned share of node i based on the allocation coefficient,To be an overall cost to be amortized. The calculation method for obtaining the distribution coefficient by normalization processing comprises the following steps: Wherein, the Representing a userN is the set of all users and S is the non-inclusive userIs a subset of the set of (c),Is a benefit function of the subset S,For the number of users of the subset S,For the total number of users,For usersMarginal contribution when adding subset S. Also, the userThe calculation method of the marginal contribution when adding the subset S is: Wherein, the For the load weight of the node i,Representing the power supply quality improving effect of the node i, which can be calculated according to the power quality index,Representing the willingness coefficient of the node i,For a newly-added set of devices,Representing the contribution factor of user i to the newly added device k and, therefore,Representing the contribution factor of the node i to the retrofit measure based on the current tracking,Representing the aggregate revenue of the ith user after the jth user configures the device,Marginal cont