基于分层混合灰狼-哈里斯鹰算法的水火电调度优化  

Short-term Hydrothermal Scheduling Based on Mutation and Hierarchy-based Hybridization Strategy

作　　者：王归新[1] 田中天 WANG Guixin;TIAN Zhongtian(China Three Gorges University College of Electrical Engineering&New Energy,Hubei Yichang 443002,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443002

出　　处：《电工材料》2021年第3期58-62,共5页Electrical Engineering Materials

摘　　要：短期水火电调度优化的主要目的是减少水火电系统中火电厂的发电成本,由于这一问题具有较多的复杂约束条件,带来了非线性、非凸特征等难题。采取分层结构将两种较新的群智能算法改进灰狼优化与哈里斯鹰优化相结合,从而获得二者易实现、收敛能力强、全局搜索能力好的优点。算例的仿真计算结果表明,此算法比传统的智能算法有明显的提升,取得了更优的结果,是针对这一问题有效的解决方法。The main purpose of short-term hydrothermal power dispatching optimization is to reduce the cost of power generation of thermal power plant in hydrothermal power system.Because of many complex constraints in this problem,there are some difficult problems such as nonlinear and non-convex features.This paper combines two relatively new swarm intelligence algorithms,improved grey wolf optimizer and Harris hawk optimizer,with mutation and hierarchy-based hybridization strategy.Therefore,the proposed algorithm can obtain the advantages of GWO and HHO which are easiness of implementing,strong convergence ability and good global search ability.The results of the simulation calculations can prove an appreciable improvement of the proposed algorithm comparing to traditional Intelligent algorithms and is a new effective approach to short-term hydrothermal scheduling.

关 键 词：短期水火电调度 哈里斯鹰优化 灰狼优化 群智能算法 

分 类 号：TM612[电气工程—电力系统及自动化]