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微网内双重需求响应和微网间P2P合作的协同调度策略

张嘉蕾 宣文举 杨栋 吕高 关燕鹏

电力工程技术2025,Vol.44Issue(6):103-113,11.
电力工程技术2025,Vol.44Issue(6):103-113,11.DOI:10.12158/j.2096-3203.2025.06.010

微网内双重需求响应和微网间P2P合作的协同调度策略

Co-scheduling strategies for intra-microgrid dual demand response and inter-microgrid P2P cooperation

张嘉蕾 1宣文举 1杨栋 2吕高 1关燕鹏3

作者信息

  • 1. 山西大学电力与建筑学院,山西 太原 030006
  • 2. 国网山西省电力有限公司忻州供电分公司,山西 忻州 034000
  • 3. 山西大学自动化与软件学院,山西 太原 030006
  • 折叠

摘要

Abstract

In the context of the'dual-carbon'goal,a dual demand response within each microgrid and a cooperative peer-to-peer(P2P)scheduling strategy among microgrids are proposed to build a fairer,green,and low-carbon new electricity market.Firstly,a microgrid model incorporating integrated electricity,heat and gas is constructed,with explicit modeling of flexible loads such as electric vehicles(EVs).Then,the optimization strategies for electricity sharing among multiple microgrids and within microgrids are proposed.At the multi-microgrid level,an optimal scheduling model based on Nash bargaining theory is established,aiming to achieve the optimal benefits for both individual microgrids and the entire microgrid group after their participation in P2P collaboration.Within each microgrid,a dual demand response optimal scheduling model based on dynamic tariffs and EV carbon quota is established with the objective of reducing the microgrid carbon emissions,the peak-to-valley difference of the electric loads,and the charging cost of EVs.Finally,simulation results demonstrate that the proposed optimal scheduling strategy effectively enhances energy sharing and renewable energy consumption among microgrids,and further reduces the system carbon emissions.

关键词

协同调度/双重需求响应/电动汽车(EV)/微网集群/点对点(P2P)合作/纳什谈判

Key words

collaborative dispatch/dual demand response/electric vehicle(EV)/microgrid alliance/peer-to-peer(P2P)collaboration/Nash bargaining

分类

信息技术与安全科学

引用本文复制引用

张嘉蕾,宣文举,杨栋,吕高,关燕鹏..微网内双重需求响应和微网间P2P合作的协同调度策略[J].电力工程技术,2025,44(6):103-113,11.

基金项目

国家自然科学基金资助项目(62473242) (62473242)

电力工程技术

OA北大核心

2096-3203

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