基于可逆固体氧化物电池的风光氢综合能源系统容量规划  

Capacity Planning of Integrated Energy System of Wind Photovoltaic and Hydrogen Based on Reversible Solid Oxide Cell

作　　者：窦真兰 袁本峰 张春雁 肖国萍[2] 王建强[2] DOU Zhenlan;YUAN Benfeng;ZHANG Chunyan;XIAO Guoping;WANG Jianqiang(State Grid Shanghai Municipal Electric Power Company,Shanghai 200023,China;Shanghai Institute of Applied Physics,CAS,Shanghai 201800,China)

机构地区：[1]国网上海市电力公司,上海200023 [2]中国科学院上海应用物理研究所,上海201800

出　　处：《中国电力》2023年第10期22-32,共11页Electric Power

基　　金：国家电网有限公司科技项目(5209KZ21N003)。

摘　　要：可逆固体氧化物电池(reversible solid oxide cell,RSOC)作为新型氢储能技术,有利于促进可再生能源消纳、提高系统运行效率。为此,提出一种基于RSOC技术的风光氢综合能源系统规划设计方法。首先,建立风光氢综合能源系统规划模型,考虑RSOC辅助系统(balance of plant,BOP)功耗占比高、功率调节受限等约束。其次,以系统年弃电缺电量、投资成本最小化为目标,采用粒子群优化算法求解该规划问题。最后,针对氢气价格、RSOC成本等不确定性因素,开展系统规划灵敏度分析。仿真结果表明该方法能够获得合理的配置方案,大规模减小系统弃电缺电频率,提升系统资源配置的灵活性。As a new energy storage technology,reversible solid oxide cell(RSOC)can promote the renewable energy consumption and improve the system efficiency.Therefore,a capacity planning method of an integrated energy system of wind photovoltaic and hydrogen based on RSOC is proposed.Firstly,the planning model of the integrated energy system of wind photovoltaic and hydrogen is established,considering the constraints of the high energy consumption of the balance of plant(BOP)system and the limited power regulation of the RSOC system.Secondly,the particle swarm optimization(PSO)algorithm is used to solve this planning problem,aiming at minimizing the annual redundant and lacking power,and investment cost.Finally,the system planning sensitivity analysis is performed for the uncertain factors of the RSOC cost and hydrogen price.The simulation results show that the proposed method can obtain a reasonable configuration scheme,greatly reducing the redundant and lacking power and improving the flexibility of the system resource allocation.

关 键 词：可逆固体氧化物电池 氢储能 综合能源系统 容量规划 规划灵敏度分析 

分 类 号：TK01[动力工程及工程热物理] TM715[电气工程—电力系统及自动化]