GA-Identifier and predictive controller for multi-machine power system

被引：0
|
作者：
Hussein, Wael [1 ]
Malik, O. P. [1 ]
机构：
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
来源：
2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2 | 2006年
关键词：
Adaptive power system stabilizer; genetic algorithm; multi-mode oscillation; pole-shift control; predictive control;
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：
The effectiveness of a Genetic Algorithm (GA) identifier and a predictive controller to damp multi-mode oscillations in power system is investigated in this paper. A five machine power system is used in the simulation studies and its transient response to disturbances causing multi-mode oscillations is investigated. The GA-Identifier tracks the changes in the system conditions. The predictive Controller uses pole-shifting numerical optimization routine to determine the optimum control signal. Behavior of the adaptive power system stabilizer (APSS) and its coordination ability with other Power System Stabilizers in the system are demonstrated.
引用
收藏
页码：222 / +
页数：2
相关论文
共 50 条
  • [21] MULTI-MACHINE SOFTWARE CONTROLLER.
    Gray, I.
    1978,
  • [22] Online learning ANN-inversion excitation controller with NNPSS for multi-machine power system
    Xu, Qinghong
    Dai, Xianzhong
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2010, 30 (01): : 25 - 31
  • [23] Robust TCSC controller design based on linear matrix inequality for multi-machine power system
    Yang, Yang
    Zhang, Jian-Cheng
    Dianli Zidonghua Shebei / Electric Power Automation Equipment, 2007, 27 (05): : 105 - 109
  • [24] Improved Adaptive Backstepping Sliding Mode SVC Controller Design for Multi-Machine Power System
    Sun, Liying
    Zhao, Yan
    IEEE ICCSS 2016 - 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2016, : 201 - 205
  • [25] Comparative Performance Analysis of Adaptive Tuned PID Controller for Multi-machine Power System Network
    Singh, Mahesh
    Agrawal, Aparajita
    Ralhan, Shimpy
    Jhapte, Rajkumar
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, 2019, 711 : 819 - 829
  • [26] A Novel Approach Using TCSR FACTS Controller for Mitigation of Congestion in a Multi-machine Power System
    Gupta, Madhvi
    Gupta, Ashvini Kumar
    Sharma, Nikhlesh Kumar
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2022, 17 (02) : 955 - 966
  • [27] Switching Excitation Controller for Transient Stability of Multi-Machine Power Systems
    Su, Yinsheng
    Gao, Qin
    Xu, Guanghu
    Feng, Xuelei
    Wen, Tianhao
    Liu, Xiaohan
    2024 THE 9TH INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY, ICPRE, 2024, : 402 - 406
  • [28] Decentralized steam valving controller for nonlinear multi-machine power systems
    Xi, Zairong
    Cheng, Daizhan
    Dianli Xitong Zidonghue/Automation of Electric Power Systems, 2003, 26 (21): : 7 - 11
  • [29] Design for Multi-machine Power System damping Controller Via Particle Swarm Optimization Approach
    Duan, Zhiyuan
    Zhang, Chengxue
    Hu, Zhijian
    Ding, Tao
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 2758 - 2763
  • [30] A Novel Approach Using TCSR FACTS Controller for Mitigation of Congestion in a Multi-machine Power System
    Madhvi Gupta
    Ashvini Kumar Gupta
    Nikhlesh Kumar Sharma
    Journal of Electrical Engineering & Technology, 2022, 17 : 955 - 966
12345