Reactive Power Dispatch Based on Self-Adaptive Differential Evolution Hybrid Particle Swarm Optimization

被引：0
|
作者：
Wang, C. [1 ]
Liu, Y. C. [1 ]
Guo, H. H. [1 ]
Chen, Y. [1 ]
机构：
[1] Dalian Maritime Univ, Marine Engn Coll, Dalian, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015) | 2015年 / 18卷
关键词：
reactive power dispatch; particle swarm optimization (PSO); self-adapting hybrid strategy; global optimization; differential Evolution (DE); FLOW;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Reactive power dispatch, which may have many local optima, is an important and challenging task in the operation and control of electric power system. This paper presents a Self-adaptive Differential Evolution hybrid Particle Swarm (SaDEPS) optimization algorithm for optimal reactive power dispatch problem. In this method, each particle is updated by a randomly selected strategy from a candidate pool, which contains strategies with different searching behaviors. SaDEPS applied to optimal reactive power dispatch is evaluated on IEEE 14-bus system. The numerical results, show that SaDEPS could find high-quality solutions with higher convergence speed and probability.
引用
收藏
页码：75 / 78
页数：4
相关论文
共 50 条
  • [1] A Hybrid of Fully Informed Particle Swarm and Self-Adaptive Differential Evolution for Global Optimization
    Li Wang, Shir
    Adnan, Sarah Hazwani
    Ibrahim, Haidi
    Ng, Theam Foo
    Rajendran, Parvathy
    APPLIED SCIENCES-BASEL, 2022, 12 (22):
  • [2] Self-adaptive mutation differential evolution algorithm based on particle swarm optimization
    Wang, Shihao
    Li, Yuzhen
    Yang, Hongyu
    APPLIED SOFT COMPUTING, 2019, 81
  • [3] Security Constrained Optimal Reactive Power Dispatch Using Hybrid Particle Swarm Optimization and Differential Evolution
    Nguyen, Khai P.
    Trung Minh Dao
    INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING, 2019, 8 (02) : 85 - 103
  • [4] Self-adaptive Differential Evolution Algorithm for Reactive Power Optimization
    Zhang, Xuexia
    Chen, Weirong
    Dai, Chaohua
    Guo, Ai
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 6, PROCEEDINGS, 2008, : 560 - 564
  • [5] Hybrid Differential Evolution Particle Swarm Optimization Algorithm for Reactive Power Optimization
    Wang, Shouzheng
    Ma, Lixin
    Sun, Dashuai
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [6] An integrated particle swarm optimization approach hybridizing a new self-adaptive particle swarm optimization with a modified differential evolution
    Tang, Biwei
    Xiang, Kui
    Pang, Muye
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (09): : 4849 - 4883
  • [7] An integrated particle swarm optimization approach hybridizing a new self-adaptive particle swarm optimization with a modified differential evolution
    Biwei Tang
    Kui Xiang
    Muye Pang
    Neural Computing and Applications, 2020, 32 : 4849 - 4883
  • [8] Particle swarm optimization based optimal reactive power dispatch
    Kumar, G. Sathes
    Jayabarathi, T.
    Ramesh, V.
    Journal of the Institution of Engineers (India): Electrical Engineering Division, 2007, 87 (MAR.): : 42 - 47
  • [9] Particle Swarm Optimization Based Optimal Reactive Power Dispatch
    Pandya, Sundaram
    Roy, Ranjit
    2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES, 2015,
  • [10] Self-adaptive learning based particle swarm optimization
    Wang, Yu
    Li, Bin
    Weise, Thomas
    Wang, Jianyu
    Yuan, Bo
    Tian, Qiongjie
    INFORMATION SCIENCES, 2011, 181 (20) : 4515 - 4538
12345