中国电力2025，Vol.58Issue(11)：88-100,13.DOI:10.11930/j.issn.1004-9649.202502002
基于非均衡纳什谈判的多主体综合能源协同优化
Collaborative Optimization of Multi-agent Integrated Energy Based on Asymmetric Nash Bargaining
摘要
Abstract
The multi-agent integrated energy system(IES)faces many problems such as conflict of interest in peer-to-peer(P2P)transactions among members and privacy data protection.In the context of the ladder carbon trading mechanism,a collaborative optimization strategy for multi-agent IES based on asymmetric Nash bargaining is proposed.Firstly,a collaborative optimization model for electricity,heat and hydrogen energy sharing among multiple agents in IES is established by introducing such decarbonization measures as carbon capture power plant and hydrogen-blending equipment.Secondly,based on the Nash bargaining theory,the collaborative optimization problem is equivalently decomposed into two sequential subproblems:minimizing the operational costs of multi-agent IES and maximizing transaction payments,thereby achieving a fair and reasonable distribution of cooperative benefits.Finally,the alternating direction multiplier method(ADMM)is employed to solve these problems,determining the trading power and trading prices.The case studies demonstrate that this strategy achieves collaborative optimization of multiple heterogeneous energy flows(including electricity,heat,and hydrogen),reduces system operating costs,and ensures equitable benefit distribution among stakeholders.关键词
多主体综合能源系统/交替方向乘子法/碳捕集电厂/纳什谈判/阶梯式碳交易机制Key words
multi-agent integrated energy system/alternating direction multiplier method/carbon capture power plant/Nash bargaining game/ladder carbon trading mechanism引用本文复制引用
卢艺玮,宋晓通,张佳惠,李华健,苏珈,巨云涛,贾旭文..基于非均衡纳什谈判的多主体综合能源协同优化[J].中国电力,2025,58(11):88-100,13.基金项目
山西省能源互联网研究院研发项目(SXEI2023ZD002). This work is supported by Shanxi Energy Internet Research Institute(No.SXEI2023ZD002). （SXEI2023ZD002）
