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
刘胜 1范成武 1鲁偎依 2李巧玲2
作者信息
- 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
- 折叠
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 opti-mization,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.
Abstract
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 elec-tricity 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Key words
grid-connected microgrids/optimization scheduling/improved the spotted hyena algorithm/scheduling costs引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据