基于混合混沌磷虾算法的短期水火电调度研究  

Short-term hydrothermal scheduling based on hybrid chaotic krill herd algorithm

作　　者：肖雄 高渺 陈功贵[1] XIAO Xiong;GAO Miao;CHEN Gong-gui(School of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学自动化学院,重庆400065

出　　处：《计算机工程与科学》2020年第9期1649-1660,共12页Computer Engineering & Science

基　　金：重庆高校创新团队项目(KJTD201312);重庆市高等教育教学改革研究重点项目(132016)。

摘　　要：短期水火电调度(STHS)是一个非线性、多约束且时变的优化问题,当将阀点效应引入后该问题变得非凸从而更加复杂。为提高磷虾算法(KHA)在STHS问题中的寻优能力,引入混合混沌映射来改善KHA的全局收敛速度。为避免算法过早收敛,通过记录每代最优个体的燃烧费用值保持不变的次数,决策对非位置占优的个体在其可行域内进行位置突变,从而提出混合混沌磷虾算法(HCKHA),并将提出的HCKHA和KHA、CKHA分别应用于标准的4水3火和4水10火测试系统。仿真结果表明:HCKHA的寻优能力、系统的燃烧费用值和网络损耗值优于KHA、CKHA和相关其他文献的优化方法。Short-Term Hydrothermal Scheduling(STHS)is a nonlinear,multi-constrained and time-varying optimization problem.When the valve point effect is considered,the problem becomes non-convex and more complicated.In order to improve the search ability of the Krill Herd Algorithm(KHA)in the STHS problem,the hybrid chaotic map is introduced to improve the global convergence speed of KHA.In order to avoid premature convergence of the algorithm,by recording the number of times that the fuel cost values of the best individual in each generation remain unchanged and making the decision that a positional mutation in the non-positionally dominant individual within its feasible domain,a hybrid chaotic krill herd algorithm(HCKHA)is proposed.HCKHA and KHA,CKHA were applied to the standard STHS test systems such as"four hydro and three thermal plants"and"four hydro and ten thermal plants",independently.The simulation results show that HCKHA has better optimization ability,fuel cost values and transmission loss values than KHA,CKHA and the optimization methods in other related literatures.

关 键 词：短期水火电调度 混合混沌磷虾算法 阀点效应 网络损耗 

分 类 号：TM734[电气工程—电力系统及自动化]