A robust power system stabilizer configuration using artificial neural network based on linear optimal control (student paper competition)

被引：0
|
作者：
Youssef, MZ [1 ]
Jain, PK [1 ]
Mohamed, EA [1 ]
机构：
[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON, Canada
来源：
CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY | 2003年
关键词：
power system stabilizer; neural networks;
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：
An efficient configuration of an adaptive power system stabilizer (PSS) based on the artificial neural network (ANN) and the linear optimal control (LOC) is presented in this paper. The proposed PSS combines the advantages of conventional stabilizer (CPSS), optimizing LOC strategy and the quick response of ANN The ANN was trained using the data generated by the optimal control stabilizer (LOC-PSS). Different PSSs are presented for performance comparison. MATLAB simulations prove that the proposed PSS significantly improves the dynamic response of the power system over various loading conditions, and different disturbances.
引用
收藏
页码：569 / 573
页数：5
相关论文
共 50 条
  • [41] H-robust technique based ant optimal power system for solar energy power system stabilizer
    Hadap, Arti
    Vaishnav, Swati
    MATERIALS TODAY-PROCEEDINGS, 2022, 51 : 118 - 124
  • [42] Robust Power System Stabilizer design for an industrial power system in Taiwan using linear matrix inequality techniques
    Tsai, HC
    Chu, CC
    Chou, YS
    2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, 2004, : 1761 - 1766
  • [43] Design of a Fuzzy-Logic-Control Based Robust Power System Stabilizer
    Zhao Hui
    Liu Lu-yuan
    Wang Hong-jun
    Yue You-jun
    SEVENTH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY: OPTOELECTRONIC TECHNOLOGY AND INSTUMENTS, CONTROL THEORY AND AUTOMATION, AND SPACE EXPLORATION, 2008, 7129
  • [44] H∞ CONTROL-BASED ROBUST POWER SYSTEM STABILIZER FOR STABILITY ENHANCEMENT
    Khelloufi, A. B. D. E. S. L. E. M.
    Sari, B. I. L. A. L.
    Chouaba, Seif eddine
    REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE, 2022, 67 (02): : 175 - 180
  • [45] Design of power system stabilizer based on robust gain scheduling control theory
    Cui, S
    Takagi, Y
    Ukai, H
    Kando, H
    Nakamura, K
    Fujita, H
    2000 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS I-III, PROCEEDINGS, 2000, : 1191 - 1196
  • [46] Power system stabilizer based on fuzzy neural network with improved learning algorithm
    Sun, Yong
    Li, Zhimin
    Zhang, Dongsheng
    Yu, Jilai
    Dianli Zidonghua Shebei / Electric Power Automation Equipment, 2009, 29 (06): : 58 - 61
  • [47] Optimal economic dispatch for power generation using artificial neural network
    Panta, S.
    Premnideepreechacharn, S.
    Nuchprayoon, S.
    Dechthummarong, C.
    Janjornmanit, S.
    Yachiangkam, S.
    2007 CONFERENCE PROCEEDINGS IPEC, VOLS 1-3, 2007, : 1343 - +
  • [48] A rule-based fuzzy power system stabilizer tuned by a neural network
    Hosseinzadeh, N
    Kalam, A
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 1999, 14 (03) : 773 - 779
  • [49] Speed deviation driven adaptive neural network based power system stabilizer
    ElSherbiny, MK
    ElSaady, G
    Ibrahim, EA
    ELECTRIC POWER SYSTEMS RESEARCH, 1996, 38 (03) : 169 - 175
  • [50] Robust Control of Double Star PMSG using Artificial Neural Network
    Seynabou, Gning Ndeye
    Ahmed, Nadia Ait
    Falilou, Ndiaye Mouhamadou
    Ahmed, Mourad Ait
    Lamine, Thiaw
    Fouad, Benkhoris Mouhamed
    PROCEEDINGS OF 2019 IEEE 2ND INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING (REPE 2019), 2019, : 248 - 253
12345