A digital technique for online identification and tracking of power system harmonics based on real coded genetic algorithm

被引：0
|
作者：
Zamanan, Naser [1 ]
Sykulski, Jan [1 ]
Al-Othman, A. K. [2 ]
机构：
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England
[2] Coll Technol Studies, Dept Elect Engn, Kuwait, Kuwait
来源：
PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON EUROPEAN POWER AND ENERGY SYSTEMS | 2006年
关键词：
real coded Genetic Algorithm; estimation; power system harmonics analysis;
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：
Current and voltage waveforms of a distribution or a transmission system are not pure sinusoids. There are distortions in these waveforms that consist of a combination of the fundamental frequency, harmonics and high frequency transients. This paper presents an enhanced measurement scheme for identification and tracking of harmonics in power system. The proposed technique is not limited to stationary waveforms, but can also estimate harmonics in waveforms with time-varying amplitudes. This paper presents a new method based on Real Coded Genetic Algorithm, which is a technique for optimization inspired by genetics and natural evolution. The algorithm was tested using simulated data, and effects of sampling rate studied. Results are reported and discussed.
引用
收藏
页码：144 / +
页数：2
相关论文
共 50 条
  • [31] A genetic based technique for identification of symmetrical components for power system protection
    El-Naggar, KM
    Al-Othman, ARK
    PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS, 2004, : 653 - 656
  • [32] Dynamic tracking of power system harmonics with a new Kalman-Wavelet technique
    Lewis, S.
    Nuno, V.
    Barocio, E.
    Zuniga, P.
    Uribe, F. A.
    2015 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC), 2015,
  • [33] Digital filtering technique in real time tracking and controlling system
    Huang, Yongmei
    Fu, Chengyu
    Guangdian Gongcheng/Opto-Electronic Engineering, 1998, 25 (02): : 7 - 13
  • [34] A New Framework for Power System Identification Based on an Improved Genetic Algorithm
    Gao, Lin
    Dai, Yiping
    Xia, Junrong
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 1937 - 1942
  • [35] A STATE ESTIMATION ALGORITHM FOR IDENTIFICATION AND MEASUREMENT OF POWER-SYSTEM HARMONICS
    SOLIMAN, SA
    CHRISTENSEN, GS
    KELLY, DH
    ELNAGGAR, KM
    ELECTRIC POWER SYSTEMS RESEARCH, 1990, 19 (03) : 195 - 206
  • [36] Analyze and Optimization of Genetic Algorithm Implemented on Maximum Power Point Tracking Technique for PV System
    Megantoro, Prisma
    Wijaya, Fransisco Danang
    Firmansyah, Eka
    2017 INTERNATIONAL SEMINAR ON APPLICATION FOR TECHNOLOGY OF INFORMATION AND COMMUNICATION (ISEMANTIC), 2017, : 79 - 84
  • [37] Blind source separation method based on real coded genetic algorithm
    DSP Lab, Chongqing Communication Institute, Chongqing 400035, China
    不详
    不详
    Dianzi Keji Diaxue Xuebao, 2006, 3 (295-297+327):
  • [38] Efficient Online Algorithm for Fast Inertia Tracking of Power System
    Huang S.
    Zhang J.
    Zeng F.
    Gaodianya Jishu/High Voltage Engineering, 2021, 47 (10): : 3519 - 3527
  • [39] Optimization of metamaterial based weighted real-coded genetic algorithm
    Chang Hong-Wei
    Ma Hua
    Zhang Jie-Qiu
    Zhang Zhi-Yuan
    Xu Zhuo
    Wang Jia-Fu
    Qu Shao-Bo
    ACTA PHYSICA SINICA, 2014, 63 (08)
  • [40] A real-coded genetic algorithm involving a hybrid crossover method for power plant control system design
    Lee, KY
    Mohamed, PS
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 1069 - 1074
12345