基于序数势博弈的综合能源服务商日前市场投标优化模型  

Optimization Model for Day-Ahead Market Bidding of Integrated Energy Service Providers Based on Ordinal Potential Game

作　　者：梅文卿 王克元 刘晓峰 刘怀[1] 王嘉诚 季振亚 Mei Wenqing;Wang Keyuan;Liu Xiaofeng;Liu Huai;Wang Jiacheng;Ji Zhenya(School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210023,China;Research Institute 58,China Electronics Technology Group Corporation,Wuxi 214035,China)

机构地区：[1]南京师范大学南瑞电气与自动化学院,江苏南京210023 [2]中国电子科技集团公司第五十八研究所,江苏无锡214035

出　　处：《南京师范大学学报(工程技术版)》2025年第1期12-21,44,共11页Journal of Nanjing Normal University(Engineering and Technology Edition)

基　　金：江苏省高等学校基础科学(自然科学)研究面上项目(23KJB470020).

摘　　要：随着全球经济的持续高速增长与人口规模的不断扩张,能源需求的急剧攀升已成为不容忽视的挑战,迫切要求构建更为稳健与高效的能源供应体系.综合能源服务商作为系统和用户之间的新兴中介,发挥着越来越重要的作用.基于价格型需求响应,构建涵盖用户、综合能源服务商以及上级能源市场三方的多层次交易框架,并以综合能源服务商的收益最大为目标建立序数势博弈模型,最后通过分布式优化进行求解.算例分析表明,所提方法能够在保障用户利益的前提下,提升综合能源服务商的收益以及市场稳定性,所提算法能够以较快的速度收敛至纳什均衡,从而可应用在大规模能源市场交易中.Amidst the sustained high-speed growth of the global economy and the continuous expansion of population size,the sharp increase in energy demand has emerged as a non-negligible challenge,urgently necessitating the establishment of a more robust and efficient energy supply system.Integrated Energy Service Providers(IESPs),as emerging intermediaries between the system and end-users,are playing an increasingly pivotal role.This study proposes a price-based demand response mechanism,which constructs a multi-layered transaction framework encompassing users,IESPs,and the upstream energy market.An ordinal potential game model is then formulated with the objective of maximizing the revenue of IESPs.Finally,distributed optimization is employed to solve the model.Case studies demonstrate that the proposed approach can enhance the revenue of IESPs and market stability while safeguarding user interests.Furthermore,the algorithm converges rapidly to the Nash equilibrium,rendering it applicable in large-scale energy market transactions.

关 键 词：综合能源服务商 需求响应 序数势博弈 分布式算法 

分 类 号：O643[理学—物理化学] X703[理学—化学]