基于风光互补发电系统的压缩空气混合储能系统容量优化
摘要：摘要压缩空气储能系统可以有效减少因风能和太阳能随机性造成的弃风弃光现象,但其动态响应时间长,且存储规模配置不合理会影响其发展。为此首先提出液流电池与压缩空气储能组成混合储能系统解决并网型风光互补发电系统输出波动不稳定的问题;其次基于典型小时负荷、风力机发电功率和光伏发电功率,针对不同场景,以系统最大收益为目标函数,利用猫群算法优化压缩空气储能系统的容量配置;最后分析压缩空气储能系统的额定容量与额定功率对系统最大收益的影响,验证算法可靠性。结果表明,基于风力机与光伏系统的装机功率分别为20 MW和3.42 MW的场景,压缩空气储能系统容量配置为4 MW和46.5 MW∙h时,其经济性最佳,每周可节约购电成本183 688.24元,周最大收益为30 543.86元。
Abstract:：Compressed air energy storage systems can effectively reduce the phenomenon of wind and solar energy being abandoned due to their randomness. However, their dynamic response time is long, and the unreasonable configuration of storage scale will affect its development. Therefore, this paper first proposes a hybrid energy storage system composed of liquid flow battery and compressed air energy storage to solve the problem of output fluctuation instability of grid-connected wind-solar complementary power generation systems. Secondly, based on typical hour load, wind turbine generating power, and photovoltaic generating power, a system maximum profit objective function is established for different scenarios, and the capacity configuration of the compressed air energy storage system is optimized using a cat swarm algorithm. Finally, the impact of the rated capacity and rated power of the compressed air energy storage system on the system's maximum profit is analyzed to verify the reliability of the algorithm. The results show that when the installed capacity of the wind turbine and photovoltaic system is 20 MW and 3.42 MW, respectively, and the capacity configuration of the compressed air energy storage system is 4 MW and 46.5 MW∙h, respectively, achieving its best economy, and 183 688.24 yuan can be saved every week in electricity purchase costs, with a maximum weekly profit of 30 543.86 yuan.
中文标题：基于风光互补发电系统的压缩空气混合储能系统容量优化
英文标题：Capacity Optimization of Compressed Air Hybrid Energy Storage System Based on Wind-Solar Complementary Power Generation System
发表时间：2023-07-18
作者：
虞启辉, 高胜昱, 孙国鑫, 刘晓辉
作者简介：
虞启辉（1983-）,男,博士,教授,主要从事压缩空气储能技术、新能源技术开发和利用研究。孙国鑫（1990-）,男,博士,讲师,主要从事控制理论与控制工程,新能源装备与利用研究。
关键词：压缩空气储能系统,混合储能系统,猫群算法,容量配置,经济性,
Key words：compressed air energy storage system,hybrid energy storage system,cat swarm algorithm,capacity configuration,economy,
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