Cloud Adaptive Chaos Particle Swarm Optimization Algorithm for Economic Load Dispatch of Power System

被引：0
|
作者：
Qin, Zhucai [1 ]
机构：
[1] Wuhan Univ Technol, Dept Automat, Wuhan 430070, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE | 2015年 / 17卷
关键词：
Economic Load Dispatch; Cloud Adaptive; Chaotic Variation; Particle Swarm Optimization Algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A cloud adaptive chaos particle swarm optimization algorithm is proposed for economic load dispatch problems of power system, which has the characteristics of nonlinear, non-convex and discontinuous. Normal cloud generator was used to adaptively adjust the inertia weight of each particles, so as to optimize their optimization direction and improve the convergence speed of the algorithm; and the chaotic variation operation was introduced to adjust the particle's positions, so as to improve the diversity of the solution and avoid falling into local optimum. Simulation of 6 unit system demonstrates that the proposed algorithm has high accuracy and quick speed used in economic load dispatch of power system.
引用
收藏
页码：107 / 110
页数：4
相关论文
共 50 条
  • [1] Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system
    Zhang Zhisheng
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (02) : 1800 - 1803
  • [2] A Parallel Adaptive Particle Swarm Optimization Algorithm for Economic/Environmental Power Dispatch
    Li, Jinchao
    Li, Jinying
    Niu, Dongxiao
    Wu, Yunna
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2012, 2012
  • [3] Particle swarm optimization based algorithm for economic load dispatch
    Gao, HB
    Zhou, C
    Gao, L
    [J]. PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS, 2005, : 594 - 599
  • [4] Chaos optimization algorithm and its application in economic load dispatch on power system
    Xiu, Chun-Bo
    Lu, Li-Fen
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2010, 38 (21): : 109 - 112
  • [5] An economic load dispatch method of power system based on multi-Agent particle swarm optimization algorithm
    Tang, Xian-Lun
    Zhang, Heng
    Li, Jin
    Zhou, Wei
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (10): : 42 - 47
  • [6] Improved particle swarm optimization algorithm for solving power system economic dispatch problem
    Liang, Jing
    Ge, Shi-Lei
    Qu, Bo-Yang
    Yu, Kun-Jie
    [J]. Kongzhi yu Juece/Control and Decision, 2020, 35 (08): : 1813 - 1822
  • [7] Hybrid of comprehensive learning particle swarm optimization and SQP algorithm for large scale economic load dispatch optimization of power system
    Yu Wang
    Bin Li
    Bo Yuan
    [J]. Science China Information Sciences, 2010, 53 : 1566 - 1573
  • [8] Hybrid of comprehensive learning particle swarm optimization and SQP algorithm for large scale economic load dispatch optimization of power system
    WANG Yu
    [J]. Science China(Information Sciences), 2010, 53 (08) : 1566 - 1573
  • [9] Hybrid of comprehensive learning particle swarm optimization and SQP algorithm for large scale economic load dispatch optimization of power system
    Wang Yu
    Li Bin
    Yuan Bo
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2010, 53 (08) : 1566 - 1573
  • [10] Adaptive particle swarm optimization approach for static and dynamic economic load dispatch
    Panigrahi, B. K.
    Pandi, V. Ravikumar
    Das, Sanjoy
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (06) : 1407 - 1415
12345