中国电力2025，Vol.58Issue(11)：72-87,16.DOI:10.11930/j.issn.1004-9649.202502017
融合风光出力场景生成的综合能源系统主从博弈运行优化策略
A Stackelberg Game-based Optimization Strategy for Integrated Energy Systems Incorporating Wind-solar Power Scenario Generation
摘要
Abstract
In view of the characteristics of multi-physical system coupling and multi-stakeholder involvement in the operation of integrated energy systems(IES),this paper conducts a study on the optimization strategy of the leader-follower integrated energy systems considering the uncertainty and correlation of wind and solar output,aiming to enhance the energy utilization rate and operational efficiency of the IES with high permeability of new energy while taking into account the operational demands of various entities involved.Firstly,a scenario generation method based on mixed Copula function theory is presented to obtain typical daily scenarios of wind and PV power generation.Secondly,a multi-user integrated energy service provider model is developed and an integrated demand response model for electricity and heat loads is established.And then,the integrated energy sales department,acting as the leader,publishes energy selling prices and demand response compensation rates to users;the park energy aggregation department and energy storage stations,acting as followers,regulate the output of energy coupling conversion equipment,electricity exchange between parks,and the charging and discharging of energy storage stations.Finally,case studies demonstrate that the proposed methods and strategies can effectivey enhance the economic benefits of the integrated energy system.关键词
混合Copula/主从博弈/综合需求响应/场景生成/电能交互/信息间隙理论Key words
mixed Copula/stackelberg game/integrated demand response/scenario generation/electrical interaction/IGDT引用本文复制引用
文四海,鲜跃生,韩杨,刘群英,陈树恒..融合风光出力场景生成的综合能源系统主从博弈运行优化策略[J].中国电力,2025,58(11):72-87,16.基金项目
四川省自然科学基金资助项目(2025ZNSFSC0451). This work is supported by Sichuan Provincial Natural Science Foundation(No.25NSFSC1506). （2025ZNSFSC0451）
