电力系统保护与控制2024，Vol.52Issue(13)：102-114,13.DOI:10.19783/j.cnki.pspc.240028
考虑氢能多元利用的多重博弈综合能源系统低碳经济优化调度
Low-carbon economic optimal scheduling of a multi-game integrated energy system considering multi-party use of hydrogen energy
摘要
Abstract
In an integrated energy system,a multi-agent interactive game considering multi-party use of hydrogen energy has significant benefits in improving the flexibility of energy market transactions and reducing carbon emissions.In a multi-agent game of the energy market and environmental pollution,it is difficult to improve the flexibility and low-carbon of'source-load-storage'transactions in a one-way master-slave game structure.Therefore,this paper proposes a low-carbon optimal scheduling model considering two-stage P2G and gas hydrogen blending.First,in order to improve the low-carbon performance of the system,the carbon trading mechanism is introduced into the integrated energy system,and the two-stage P2G,carbon capture and gas hydrogen blending are introduced on the energy supply side.The multi-party use model of hydrogen energy can further limit carbon emissions.Secondly,the operation optimization models of integrated energy sellers,load aggregators and generalized energy storage sharers are established respectively.Then,a multi-agent game energy low-carbon optimal scheduling model considering the duality of the subject as a leader and a player is constructed.Finally,an example is given to verify that the proposed method can balance the interests of each subject and increase the overall economic and environmental benefits of the system.关键词
综合能源系统/多重博弈/燃气掺氢/低碳调度/氢能多元利用Key words
integrated energy system/multiple games/hydrogen blending in fuel gas/low carbon scheduling/multi-party utilization of hydrogen energy引用本文复制引用
陶彩霞,段运鑫,高锋阳,张建刚..考虑氢能多元利用的多重博弈综合能源系统低碳经济优化调度[J].电力系统保护与控制,2024,52(13):102-114,13.基金项目
This work is supported by the Science and Technology Program of Gansu Province(No.23JRRA880). 甘肃省科技计划项目资助(23JRRA880) （No.23JRRA880）
甘肃省重点研发计划-社会发展领域项目资助(23YFFA0059) （23YFFA0059）
甘肃省自然科学基金重点项目资助(23JRRA882) （23JRRA882）
