基于改进斑点鬣狗算法的并网型微电网优化调度  

Optimization scheduling of grid-connected microgrids based on the improved spotted hyena algorithm

作　　者：刘胜 范成武 鲁偎依 李巧玲 LIU Sheng;FAN Chengwu;LU Weiyi;LI Qiaoling(Huangshi Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Huangshi Hubei 435000,China;Suizhou Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Suizhou Hubei 441300,China)

机构地区：[1]国网湖北省电力有限公司黄石供电公司,湖北黄石435000 [2]国网湖北省电力有限公司随州供电公司,湖北随州441300

出　　处：《宁夏电力》2024年第4期56-62,共7页Ningxia Electric Power

摘　　要：为了实现并网型微电网的经济运行,提出了一种基于改进斑点鬣狗(improved spotted hyena optimization, ISHO)算法的并网型微电网优化调度方法。以微电源维护成本、柴油机发电成本和购售电成本组成微电网调度成本,构建了以微电网调度成本最小为目标函数的并网型微电网调度模型。采用Logistic映射、非线性递减控制参量和反向学习等策略对斑点鬣狗(spotted hyena optimization, SHO)算法进行改进,获得ISHO算法。采用ISHO算法对并网型微电网调度模型进行求解,并将优化结果与其他算法进行对比分析,结果表明,ISHO算法获得的最低调度成本为3 575.25元,相比其他几种对比算法的求解精度更高,验证了ISHO算法在微电网优化调度方面的有效性。To achieve the economic operation of grid-connected microgrids,this paper introduces an optimization scheduling method based on the improved spotted hyena optimization(ISHO)algorithm.The scheduling model aims to minimize total scheduling costs,including maintenance costs for micro-power sources,diesel engine generation,and electricity purchase and sale costs.The spotted hyena optimization(SHO)algorithm is improved through strategies such as logistic mapping,nonlinear decreasing control parameters,and reverse learning to obtain the ISHO algorithm.The ISHO algorithm is used to solve the scheduling model,and its optimization performance is compared with other algorithms.The results show that the ISHO algorithm achieved the lowest scheduling cost of 3575.25 yuan,demonstrating higher accuracy than other algorithms,thereby verifying the effectiveness of the ISHO algorithm in microgrid optimization scheduling.

关 键 词：并网型微电网 优化调度 改进斑点鬣狗算法 调度成本 

分 类 号：TM73[电气工程—电力系统及自动化]