基于改进SSA的风光氢储综合供电系统配置优化  

Optimization for Wind Solar Hydrogen Power Supply System Based on Improved Sparrow Search Algorithm

作　　者：孟军磊[1] 林玉杰 孙德明 戚瑜敏 马昕霞 官贞珍 谢金龙 MENG Junlei;LIN Yujie;SUN Deming;QI Yumin;MA Xinxia;Guan Zhenzhen;Xie Jinlong(Boiler Institute,Shanghai Electric Power Construction Start-up Adjustment Laboratory Co.,Ltd.,Shanghai 200030,China;School of Energy and Mechanical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;College of Design and Engineering,National University of Singapore,Singapore 119077,Singapore)

机构地区：[1]上海电力建设启动调整试验所有限公司锅炉所,上海200030 [2]上海电力大学能源与机械工程学院,上海200090 [3]新加坡国立大学设计与工程学院,新加坡119077

出　　处：《上海电力大学学报》2023年第6期557-562,共6页Journal of Shanghai University of Electric Power

摘　　要：在保障风光氢储综合供电系统可靠性的前提下,为最大限度地降低单位发电成本,提升系统整体的经济性,提出了一种引入自立策略的改进麻雀搜索算法(SSA),并根据该方法对风光氢储综合供电系统电源容量配置进行了优化。建立以最小化单位发电成本为目标函数的优化模型,采用改进SSA算法进行求解。研究结果显示:该算法具有较好的寻优能力,系统单位发电成本降低了23.3%。On the premise of ensuring the reliability of the wind solar-hydrogen-storage integrated power supply system,in order to minimize the unit power generation cost and improve the overall economy of the system,a sparrow search algorithm based on self-reliance strategy is proposed,and the power capacity configuration of the wind-solar-hydrogen storage integrated power supply system is optimized based on this method.An optimization model is established that minimizes the unit power generation cost as the objective function,and an improved algorithm is used to solve it.The results show that the algorithm has good optimization ability,reducing the unit power generation cost of the system by 23.5%.

关 键 词：风力发电 光伏发电 氢储能 容量优化配置 改进麻雀搜索算法 

分 类 号：TM715[电气工程—电力系统及自动化]