Analysis of Fault Harmonic in Electrical Power System Based on Improved Particle Swarm Optimization Algorithm

被引：0
|
作者：
Zhang, Hui [1 ]
机构：
[1] Chifeng Ind Vocat & Tech Coll, Dept Met & Ind Design, Chifeng 024000, Peoples R China
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2019年 / 252卷
基金：
中国国家自然科学基金;
关键词：
improved Particle Swarm Optimization (PSO) algorithm; harmonic; electrical power system; harmonic pollution;
D O I：
10.1088/1755-1315/252/3/032109
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To estimate the parameters of fault harmonics in electrical power system more accurately and control the harmonic pollution, an improved Particle Swarm Optimization (PSO) algorithm is proposed. The traditional PSO algorithm has been improved, the problem of harmonic estimation is transformed into a minimum optimization problem, and the harmonic parameter optimization algorithm based on improved PSO and least square method is proposed, and corresponding simulation examples and measured data are created in matrix laboratory (MATLAB). The results show that the algorithm is not only accurate, but also has the advantages of anti-gaussian white noise and processing interharmonic. The proposed algorithm has potential application in harmonic fault analysis of electrical power system.
引用
收藏
页数：9
相关论文
共 50 条
  • [11] An improved particle swarm optimization algorithm and its application in reactive power optimization of power system
    Yuan, HJ
    Wang, CR
    Zhang, JW
    Sun, CJ
    PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS, 2005, : 446 - 453
  • [12] An Improved particle swarm optimization algorithm for reactive power optimization
    Xie, Tuo
    Xie, Jiancang
    Zhang, Gang
    Liu, Yin
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 489 - 493
  • [13] An Improved Particle Swarm Optimization Algorithm for Reactive Power Optimization
    Li Ran
    Sheng Si-qing
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [14] Fault diagnosis of electrical automatic control system of hydraulic support based on particle swarm optimization algorithm
    Rui Wang
    Wanting Sun
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 12091 - 12097
  • [15] Fault diagnosis of electrical automatic control system of hydraulic support based on particle swarm optimization algorithm
    Wang, Rui
    Sun, Wanting
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2022, 14 (9) : 12091 - 12097
  • [16] An Algorithm Based on the Improved Particle Swarm Optimization
    Ge, Ri-Bo
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014), 2014, 114 : 176 - 179
  • [17] Calculation of Economic Dispatch of Power System Based on Improved Particle Swarm Optimization Algorithm Abstract
    Xia Fei
    Xia Zongze
    Huang Xiaobo
    Huang Xing
    PROCEEDINGS OF THE 2015 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND AUTOMATION ENGINEERING, 2016, 42 : 245 - 248
  • [18] Power System Reactive Power Optimization Based on Adaptive Particle Swarm Optimization Algorithm
    Sun Shuqin
    Zhang Bingren
    Wang Jun
    Yang Nan
    Meng Qingyun
    2013 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL MANUFACTURING AND AUTOMATION (ICDMA), 2013, : 935 - 939
  • [19] Power system reactive power optimization based on adaptive particle swarm optimization algorithm
    Li, Dan
    Gao, Liqun
    Zhang, Junzheng
    Li, Yang
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 7572 - 7576
  • [20] Reactive power optimization based on improved particle swarm optimization algorithm with boundary restriction
    Liu, Hong
    Ge, Shaoyun
    2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 1365 - 1370
12345