Application of neural networks to direct stability analysis of power systems

D. Klapper, H. Othman, Y. Akimoto, H. Tanaka, J. Yoshizawa
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引用次数: 1

Abstract

The feasibility of designing neural networks capable of computing the critical clearing times of power system faults is explored. Two distinct approaches are investigated, the patter recognition approach and the optimization approach. The theory of direct stability analysis of power systems is utilized is designing he input features of the pattern recognition approach, and the structure of the Hopfield optimization approach.<>
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神经网络在电力系统直接稳定性分析中的应用
探讨了设计神经网络计算电力系统故障关键清除时间的可行性。研究了两种不同的方法:模式识别方法和优化方法。利用电力系统直接稳定性分析理论,设计了模式识别方法的输入特征和Hopfield优化方法的结构。
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