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基于价格-需求-能源枢纽协同的多氢能产业园混合博弈策略

何俊强 赵海艳 田野 刘立群 张文杰 石华林

电力系统保护与控制2026,Vol.54Issue(15):107-120,14.
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电力系统保护与控制2026,Vol.54Issue(15):107-120,14.DOI:10.19783/j.cnki.pspc.251379

基于价格-需求-能源枢纽协同的多氢能产业园混合博弈策略

Hybrid game strategy for multiple hydrogen industrial parks based on price-demand-energy hub coordination

何俊强 1赵海艳 1田野 1刘立群 1张文杰 1石华林2

作者信息

  • 1. 太原科技大学电子信息工程学院,山西 太原 030024
  • 2. 华远国际陆港集团有限公司科技信息中心,山西 太原 030021
  • 折叠

摘要

Abstract

As a key platform for hydrogen development,the hydrogen industrial park(HIP)faces significant challenges in multi-agent coordination and carbon reduction in its energy consumption.A hybrid game operation strategy for multiple HIPs based on coordinated price-demand-energy hub(EH)optimization is proposed.First,an economic operation model of energy aggregators(EAs)based on energy pricing and EH operation,as well as a demand response-based user cost model,are established to characterize the multi-agent,multi-dimensional coupling relationships in an integrated energy system.Then,a Stackelberg game-based collaborative optimization strategy for a single HIP is developed to jointly optimize energy pricing,EH operation,and demand response,thereby achieving multidimensional coordination between energy suppliers and consumers.Furthermore,a cooperative game-based multi-EA coordinated operation strategy is developed.Through distributed joint optimization framework coupling hydrogen trading with EH operation,coordinated optimization of multiple HIPs within a multi-agent,multi-layer architecture is achieved while preserving the privacy of participating entities.Case study results show that,compared to the baseline scenario,the proposed method reduces the energy consumption costs for multi-HIP users by 10.7%,increases the net profit of HIPs by 58.8%,and enhances CO2 absorption by 54.9%.

关键词

多氢能产业园/混合博弈/能源枢纽/需求响应/碳排放

Key words

multi hydrogen industrial parks/hybrid game/energy hub/demand response/carbon emissions

引用本文复制引用

何俊强,赵海艳,田野,刘立群,张文杰,石华林..基于价格-需求-能源枢纽协同的多氢能产业园混合博弈策略[J].电力系统保护与控制,2026,54(15):107-120,14.

基金项目

This work is supported by the Natural Science Foundation of Shanxi Province(No.202203021211201). 山西省自然科学基金项目资助(202203021211201) (No.202203021211201)

中央引导地方科技发展资金项目资助(YDZJSX2025B012) (YDZJSX2025B012)

山西省高等学校科技创新项目资助(2023L174) (2023L174)

电力系统保护与控制

1674-3415

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