Neural-network-based load modeling and its use in voltage stability analysis

作者: Dingguo Chen , R.R. Mohler

DOI: 10.1109/TCST.2003.813400

关键词:

摘要: Voltage stability analysis is very important for predicting potential voltage instability. Load modeling plays a key role in assessment. In the literature, most available approaches to problem are either static or quasistatic, which do not take load dynamics into account. First, this paper presents survey of those approaches, makes comparison between them, and points out possible consequences considering dynamics, at worst can be complete collapse. Based on observation, considered paper, neural networks including recurrent applied modeling. Furthermore, strategies first time incorporate neural-network-based model dynamic analysis. The computation relevant sensitivity carried model, results used popular modal proposed methods tested both IEEE 14-bus system real data.

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