| 引用本文: | 李蕊睿,李 奇,蒲雨辰,等.计及功率交互约束的含电-氢混合储能的多微电网系统容量优化配置[J].电力系统保护与控制,2022,50(14):53-64.[点击复制] |
| LI Ruirui,LI QiPU,Yuchen,et al.Optimal configuration of an electric-hydrogen hybrid energy storage multi-microgridsystem considering power interaction constraints[J].Power System Protection and Control,2022,50(14):53-64[点击复制] |
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| 摘要: |
| 在混合交直流多微网系统中，其经济性和运行可靠性受到容量优化配置的影响。考虑到基于电储能以及氢储能系统(电解槽/燃料电池/储氢罐)的混合储能系统所具有的优势，建立了电-氢混合储能型多微网系统框架。其次，针对电-氢混合储能型多微网系统，提出了考虑系统的实时能量供需状态和储能状态的多微网运行控制策略。在容量优化配置模型中引入功率交互约束模型，并在配置过程中嵌入所提出的运行控制策略。最后，以算例分析证明功率交互约束的必要性，并采用灰狼-正弦余弦优化算法求解配置模型。所得配置结果优于改进灰狼算法和改进粒子群算法。通过模拟全年运行情况，验证了所提优化配置方法的有效性和电-氢混合储能系统在季节性储能上的优势。 |
| 关键词: 多微网 容量配置 电-氢混合储能 灰狼-正弦余弦优化算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.211311 |
| 投稿时间：2021-09-26修订日期：2022-01-22 |
| 基金项目:国家自然科学基金项目资助(51977181)；霍英东教育基金会高等院校青年教师基金项目资助(171104) |
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| Optimal configuration of an electric-hydrogen hybrid energy storage multi-microgridsystem considering power interaction constraints |
| LI Ruirui,LI QiPU,Yuchen,LI Shuo,SUN Cai,CHEN Weirong |
| (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China) |
| Abstract: |
| In a hybrid AC/DC multi-microgrid system, the economy and operational reliability are affected by the configuration of capacity. Considering the advantages of hybrid energy storage systems based on electric and hydrogen energy storage (electrolyzer/fuel cell/hydrogen storage tank), this paper establishes an electric-hydrogen hybrid energy storage multi-microgrid system framework. Secondly, for the said system, a multi-microgrid operation control strategy considering the real-time energy supply and demand and energy storage status of the system is proposed to ensure the economic and reliable operation of the system. A power interaction constraint model is introduced into the capacity optimization configuration model, and the proposed operational control strategy is embedded in the configuration process. Finally, an example is used to verify the necessary of power interaction constraints, and the gray wolf-sine cosine optimization algorithm is used to solve the configuration model. The results obtained are better than those of Grey Wolf optimizer and mutation particle swarm optimization algorithm. Through the simulation of annual operating conditions, the effectiveness of the optimization strategy proposed and the advantages of the electric-hydrogen hybrid energy storage system in seasonal energy storage are verified.
This work is supported by the National Natural Science Foundation of China (No. 51977181). |
| Key words: multi-microgrid capacity configuration electric-hydrogen hybrid energy storage grey wolf-sine cosine optimization algorithm |
