Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Design of Artifical Neural Network Power System Stabilizer Using Adaptive Evolutionary Algorithm

적응진화알고리즘을 이용한 신경망-전력계통안정화장치의 설계

  • Park, Je-Young (Department of Electrical Engineering, Pusan National University) ;
  • Choi, Jae-Gon (Department of Electrical Engineering, Pusan National University) ;
  • Hwang, Gi-Hyun (Department of Electrical Engineering, Pusan National University) ;
  • Park, J.H. (Department of Electrical Engineering, Pusan National University)
  • Published : 1999.07.19
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Abstract

This paper presents a design of artificial neural network power system stabilizer(ANNPSS) using adaptive evolutionary algorithm(AEA). We have proposed an adaptive evolutionary algorithm which uses both a genetic algorithm(GA) and an evolution strategy(ES), useing the merits of two different evolutionary computations. ANNPSS shows better control performances than conventional power system stabilizer(CPSS) in three-phase fault with heavy load which is used when tuning ANNPSS. To show the robustness of the proposed ANNPSS, it is applied to damp the low frequency oscillation caused by disturbances such as three-phase fault with normal and light load. the proposed ANNPSS shows better robustness than CPSS.

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