Identification of power system dynamics due to combined use of mathematical model and neural network

✍ Scribed by Norio Takahashi; Hiromasa Takeno; Yasuharu Ohsawa

• Publisher: John Wiley and Sons
• Year: 2001
• Tongue: English
• Weight: 252 KB
• Volume: 138
• Category: Article
• ISSN: 0424-7760
• DOI: 10.1002/eej.1109

✦ Synopsis

Abstract

In order to obtain a reliable model of power systems, identification of power system dynamics by employing a neural network is studied. A new method of combined use of a mathematical model and a neural network is proposed. The effectiveness of the proposed method is verified by applying to two kinds of one‐machine infinite‐bus system—an experimental system and a numerical simulation model system. In the conventional method, the neural network learns the generator terminal voltage of the system directly. On one hand, in the new method, the neural network is trained to learn errors between the generator terminal voltage of the system and that produced by the mathematical model. The results of the test show that good performance is obtained for the proposed method. Construction of a more reliable model is demonstrated by combined use of the mathematical model and the neural network. © 2001 Scripta Technica, Electr Eng Jpn, 138(1): 42–48, 2002