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基于纳什议价的共享储能能源互联网络双目标优化 被引量:9

Dual-objective optimization of energy networks with shared energy storage based on Nash bargaining
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摘要 能源互联网建设成为支撑新型电力系统、促进可再生能源规模化发展、助力“双碳”目标实现的重要趋势。针对能源互联网中独立储能技术应用于新型能源系统面临技术经济性差以及容量难以匹配的问题,提出了共享储能收益与能源互联网络用能成本的双目标优化;针对能源互联网络内不同分布式冷热电能源系统间利益分配不均衡的问题,引入纳什议价进行利益分配。1个共享储能服务商和4个分布式冷热电能源系统组成的能源互联网络案例分析表明:随着共享储能容量的增加,共享储能收益与能源系统运行成本组成的非劣解变优,但非劣解改进优化的空间越来越小;加入纳什议价后,分布式冷热电能源系统之间成本降低更为均衡,可提高用户参与共享储能的积极性,避免用户因参与共享储能后获益较低而不参与共享,但由于纳什议价对用户的运行成本进行了约束,共享储能收益与能源系统运行成本整体变劣。 The construction of energy networks has become the pillar of new power systems and the incentive to large-scale development of renewable energy,which facilitates the realization of carbon peaking and carbon neutrality.There are problems of poor techno-economic performances and low adaptability in the application of independent energy storage technology in energy networks.Thus,a dual-objective optimization on the benefits of shared energy storage and energy costs of energy networks is proposed.To cope with the unbalanced profit allocation between distributed cold,heating and power systems in an energy network,Nash bargaining is introduced to improve the allocation.A case study is made on an energy network composed of one shared energy storage system(SESS)and four multi-distributed energy systems(MDESs).The study results show that the benefits of the shared energy storage system and the non-inferior solution for the operation costs of the MDESs have been improved with the increase of the shared energy storage capacity,but the room for non-inferior solution improvement is shrinking.Nash bargaining make the cost reduction allocated to the distributed cold,heating and power systems more evenly,which ensures the users'profits and encourages them to participate into the energy storage.But due to the constraints on the user's operating costs brought by Nash bargaining,the benefits of shared energy storage and operation costs of the MDES deteriorate overall.
作者 冶兆年 赵长禄 王永真 韩恺 刘超凡 韩俊涛 YE Zhaonian;ZHAO Changlu;WANG Yongzhen;HAN Kai;LIU Chaofan;HAN Juntao(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China;Innovation Center in Chongqing,Beijing Institute of Technology,Chongqing 401120,China)
出处 《综合智慧能源》 CAS 2022年第7期40-48,共9页 Integrated Intelligent Energy
基金 国家自然科学基金项目(52006114)。
关键词 碳中和 新型电力系统 能源互联网 共享储能系统 可再生能源 双目标优化 分布式能源 纳什议价 carbon neutrality new power system energy network shared energy storage system renewable energy dual-objective optimization distributed energy Nash bargaining
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