Multi-objective excitation control based on ANN inverse system method

被引:0
|
作者
Lu, Xiang [1 ]
Dai, Xianzhong [1 ]
Zhang, Teng [1 ]
Zhang, Kaifeng [1 ]
机构
[1] Southeast Univ., Nanjing 210096, China
来源
| 2002年 / Automation of Electric Power Systems Press卷 / 26期
关键词
Closed loop control systems - Linearization - Mathematical models - Neural networks;
D O I
暂无
中图分类号
学科分类号
摘要
This paper analyses the invertibility of excitation system considering two different objective variables-terminal voltage and power angle. By adopting two corresponding ANN inverse system structures, single-objective excitation control is realized. In order to overcome the drawback of single-objective excitation control (i.e. the stability of power angle and terminal voltage can not be improved simultaneously), the signal of power angle error is introduced into the ANN inverse structure (with terminal voltage as objective variable). Simulation results prove that the proposed control strategy can realize multi-objective excitation control, and its comprehensive performance is better than that of single-objective ANN inverse system excitation control method and standard PSS method.
引用
收藏
相关论文
共 50 条
  • [41] A multi-objective interactive system for adaptive traffic control
    Dujardin, Yann
    Vanderpooten, Daniel
    Boillot, Florence
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 244 (02) : 601 - 610
  • [42] A hybrid method for multi-objective hydropower system operation
    Shen, Jianjian
    Cheng, Chuntian
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2016, 169 (03) : 115 - 127
  • [43] RLMMN Adaptive Filtering Based Control Scheme for Multi-Objective GPV System
    Vedantham, Srinivas
    Kumar, Shailendra
    Singh, Bhim
    Mishra, Sukumar
    2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN ELECTRICAL ENGINEERING - RECENT ADVANCES (CERA), 2017, : 556 - 561
  • [44] Multi-Objective Traffic Light Control System based on Bayesian Probability Interpretation
    Khamis, Mohamed A.
    Gomaa, Walid
    El-Shishiny, Hisham
    2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2012, : 995 - 1000
  • [45] Compatible control for multi-objective system based oil linear matrix inequality
    Hu, Qingsong
    Xu, Lihong
    Zou, Zhiqiang
    ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS, 2006, : 209 - 214
  • [46] A hybrid multi-objective evolutionary algorithm using an inverse neural network for aircraft control system design
    Adra, SF
    Hamody, AI
    Griffin, I
    Fleming, PJ
    2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS, 2005, : 1 - 8
  • [47] A multi-objective optimization method for system reliability allocation
    Li, Wei
    Zeng, Qiang
    Shen, Ling
    Zhang, Zebin
    ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863 : 2766 - +
  • [48] Robust Fuzzy Control for Uncertain Nonlinear System based on Multi-objective Optimization
    Hao Wan-Jun
    Qiao Yan-Hui
    Zhu Xue-Li
    Wu Yong Zhi
    Li Ze
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 1297 - 1300
  • [49] The Research on Multi-objective Optimization Method of System Reliability Based on the Genetic Algorithms
    Yin, Yuan
    Chen, Yunxia
    PROCEEDINGS OF 2014 10TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY (ICRMS), VOLS I AND II, 2014, : 640 - 644
  • [50] Multi-objective Optimal Dispatch of Integrated Energy System Based on ε Constraint Method
    Huang, Liwan
    Li, Ming
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 6963 - 6968