考虑不确定性的电-热-氢综合能源系统规划  

Planning of Electricity-Heat-Hydrogen Integrated Energy System Considering Uncertainties

作　　者：侯慧[1] 刘鹏[1] 黄亮[1] 谢长君[1] 张锐明 Hou Hui;Liu Peng;Huang Liang;Xie Changjun;Zhang Ruiming(School of Automation Wuhan University of Technology ,Wuhan 430070 China;Guangdong Guangshun New Energy Power Technology, Foshan 528000 China)

机构地区：[1]武汉理工大学自动化学院,武汉430070 [2]广东广顺新能源动力科技有限公司,佛山528000

出　　处：《电工技术学报》2021年第S01期133-144,共12页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划(2020YFB1506802);国家重点研发计划(2018YFB0105700);国家自然科学基金(51977164)资助项目。

摘　　要：在综合能源系统(IES)高速发展的背景下,提出考虑风光不确定性的电-热-氢综合能源系统多目标规划方法。首先,介绍了电-热-氢综合能源系统模型结构框架和关键设备运行策略,针对模型中现有电转气(P2G)技术和热电联产机组(CHP)运行策略的不足,提出将P2G生成的氢气优先供应燃料电池汽车,以及根据可再生能源出力大小切换CHP运行模式等改进措施;其次,针对可再生能源出力不确定性对系统规划的影响,基于场景法实现了不确定性场景描述,同时以经济成本最小、风光消纳率最大和供能不足最小为优化目标,提出考虑风光不确定性的多目标规划方法,达到应对不确定性因素影响以及兼顾经济性、高效性和可靠性的目的;最后,采用改进的混合多目标粒子群算法和模糊隶属度函数求解设备容量配置方案,结果验证了该文所提方法的有效性及合理性。Under the background of the rapid development of integrated energy system(IES),a multi-objective planning model of electricity heat hydrogen integrated energy system considering the uncertainty of wind speed and solar radiation is proposed.Firstly,this paper presents the structure framework and key equipment operation strategies of electricity-heat-hydrogen integrated energy system model.With the shortcomings of the existing power to gas(P2G)technology and the combined heat and power(CHP)operation mode,some improvement measures are proposed,such as the hydrogen produced by P2G is preferentially supplied to fuel cell vehicles,and switching CHP operation mode according to the renewable energy output.Secondly,in order to solve the impact of uncertainty of renewable energy output on system planning,the uncertainty scenario description is implemented based on the scenario method.A multi-objective optimal planning method considering the uncertainties of wind speed and solar radiation is proposed,which can deal with the impact of uncertain factors and taking into account the economy,efficiency and reliability.The optimization objectives are the minimum economic cost,the maximum utilization rate of renewable energy and the minimum energy not supply.At last,the improved hybrid multi-objective particle swarm optimization algorithm and fuzzy membership function are used to solve the equipment capacity configuration scheme.The results verify the effectiveness and rationality of the proposed method in this paper.

关 键 词：综合能源系统 氢能 最优规划 电制氢 甲烷化 燃料电池汽车 

分 类 号：TM715[电气工程—电力系统及自动化]