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考虑源荷不确定的多园区微网与共享储能电站协同优化运行

张程 罗玉锦 陈昌亮

电力系统保护与控制2023,Vol.51Issue(24):77-89,13.
电力系统保护与控制2023,Vol.51Issue(24):77-89,13.DOI:10.19783/j.cnki.pspc.230726

考虑源荷不确定的多园区微网与共享储能电站协同优化运行

Collaborative optimization operation of multi park microgrids and shared energy storage power stations considering source load uncertainty

张程 1罗玉锦 2陈昌亮2

作者信息

  • 1. 福建理工大学电子电气与物理学院,福建 福州 350118||智能电网仿真分析与综合控制福建省高校工程研究中心,福建 福州 350118
  • 2. 福建理工大学电子电气与物理学院,福建 福州 350118
  • 折叠

摘要

Abstract

Shared energy storage,as an emerging energy storage technology,is rapidly developing.To improve the economy of power systems with shared energy storage,a two-stage robust multi park microgrid and shared energy storage cooperative game model based on source load uncertainty is proposed.First,an optimized operation model is established for electricity trading between shared energy storage entities and microgrid entities in each park.Second,considering the uncertainty of renewable energy and load,a two-stage robust scheduling model for the park microgrid is established.Then,based on Nash negotiation theory,a multi park microgrid shared energy storage multi-entity cooperative operation model is established,and it is equivalent to the cooperation cost minimization subproblem and the electricity negotiation payment subproblem.In order to protect the privacy of each entity,the alternating direction multiplier method is used to solve the above two subproblems in a distributed manner.Finally,the effectiveness of the proposed cooperative operation model and distributed algorithm is verified through numerical examples.The simulation results indicate that the collaborative optimization of shared energy storage and microgrids in various parks can reduce the operating costs of various entities.

关键词

共享储能/两阶段鲁棒/纳什谈判/合作运行/交替方向乘子法

Key words

shared energy storage/two-stage robustness/Nash negotiations/cooperative operation/alternating direction multiplier method

引用本文复制引用

张程,罗玉锦,陈昌亮..考虑源荷不确定的多园区微网与共享储能电站协同优化运行[J].电力系统保护与控制,2023,51(24):77-89,13.

基金项目

This work is supported by the National Natural Science Foundation of China(No.51977039). 国家自然科学基金项目资助(51977039) (No.51977039)

福建省财政厅专项(GY-Z220230) (GY-Z220230)

福建省自然科学基金项目资助(2023J01951) (2023J01951)

电力系统保护与控制

OACSCDCSTPCD

1674-3415

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