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考虑多能耦合共享储能的微网多智能体混合博弈协调优化

林墨涵 刘佳 唐早 曾平良 蒋标 马公瑾

电力系统自动化2024,Vol.48Issue(4):132-141,10.
电力系统自动化2024,Vol.48Issue(4):132-141,10.DOI:10.7500/AEPS20230920003

考虑多能耦合共享储能的微网多智能体混合博弈协调优化

Coordinated Optimization of Mixed Microgrid Multi-agent Game Considering Multi-energy Coupled Shared Energy Storage

林墨涵 1刘佳 1唐早 1曾平良 1蒋标 1马公瑾1

作者信息

  • 1. 杭州电子科技大学自动化学院,浙江省杭州市 310018
  • 折叠

摘要

Abstract

Shared energy storage with cooling,heating and power coupling can more significantly improve the utilization efficiency and accommodation level of multi-energy sources in microgrids.However,the multi-energy coupled shared energy storage further increases the difficulty of coordinated operation among multi-microgrids.Therefore,a coordinated optimization model of mixed microgrid multi-agent game is proposed considering multi-energy coupled shared energy storage.First,the model is carried out around the multi-energy coupled shared energy storage,and the operation model of the components is constructed from three dimensions of cooling,heating and power.Then,a two-layer coordinated scheduling model of mixed microgrid game is proposed considering the collaboration of multi-energy coupled shared energy storage.The upper layer is an intraday electricity price optimization model for microgrid operators based on Stackelberg game,which aims at maximizing the microgrid operators'intraday revenues,and provides a responsive electricity price for the lower collaborative operation with the comprehensive consideration of the upper and lower constraints on the electricity price and the constraints on the average of the purchase and sale prices.The lower layer is a cooperative operation strategy model based on cooperation game,which takes the cooperation cost of producers and sellers and shared energy storage as the goal,comprehensively considers the upper and lower limits of unit output constraints and power balance constraints,and provides feedback cooperation cost for the upper layer to guide the optimization and adjustment of electricity price.Then,the change rate of electricity price is used as the convergence criterion,and the bifurcation method is used to deal with the constraints of electricity price to accelerate the model solution in the mixed game model solution.Finally,the effectiveness of the proposed method is verified by using a microgrid system with the multi-agent coordinated optimization.

关键词

共享储能/冷热电联产/混合博弈/定价机制/综合能源系统

Key words

shared energy storage/combined cooling,heating and power/mixed game/pricing mechanism/integrated energy system

引用本文复制引用

林墨涵,刘佳,唐早,曾平良,蒋标,马公瑾..考虑多能耦合共享储能的微网多智能体混合博弈协调优化[J].电力系统自动化,2024,48(4):132-141,10.

基金项目

国家自然科学基金资助项目(U2166211) (U2166211)

国家自然科学基金青年项目(52207085) (52207085)

浙江省科技计划资助项目(2023C01142).本文得到浙江省自然科学基金资助(LY24E070006),特此感谢! This work is supported by National Natural Science Foundation of China(No.U2166211,No.52207085)and Zhejiang Provincial Science and Technology Program(No.2023C01142). (2023C01142)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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