• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2020, Vol. 42 ›› Issue (09): 1649-1660.

• 人工智能与数据挖掘 • 上一篇    下一篇

基于混合混沌磷虾算法的短期水火电调度研究

肖雄,高渺,陈功贵   

  1. (重庆邮电大学自动化学院,重庆 400065)
  • 收稿日期:2020-01-09 修回日期:2020-03-25 接受日期:2020-09-25 出版日期:2020-09-25 发布日期:2020-09-25
  • 基金资助:
    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)

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

XIAO Xiong,GAO Miao,CHEN Gong-gui   

  1. (School of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

  • Received:2020-01-09 Revised:2020-03-25 Accepted:2020-09-25 Online:2020-09-25 Published:2020-09-25

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。


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

Abstract: 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.

Key words: short-term hydrothermal scheduling, hybrid chaotic krill herd algorithm, valve point effect, transmission loss