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;
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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.
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