Optimal Placement of Measurement Using GAs in Harmonic State Estimation of Power System

전력시스템 고조파 상태 춘정에서 GA를 미용한 최적 측정위치 선정

  • 정형환 (동아대 전기전자컴퓨터공학부) ;
  • 왕용필 (동아대 전기전자컴퓨터공학부) ;
  • 박희철 (한국전력연구원 배전기술그룹) ;
  • 안병철 (부산울산지방 중소기업청 공업연구)
  • Published : 2003.08.01

Abstract

The design of a measurement system to perform Harmonic State Estimation (HSE) is a very complex problem. Among the reasons for its complexity are the system size, conflicting requirements of estimator accuracy, reliability in the presence of transducer noise and data communication failures, adaptability to change in the network topology and cost minimization. In particular, the number of harmonic instruments available is always limited. Therefore, a systematic procedure is needed to design the optimal placement of measurement points. This paper presents a new HSE algorithm which is based on an optimal placement of measurement points using Genetic Algorithms (GAs) which is widely used in areas such as: optimization of the objective function, learning of neural networks, tuning of fuzzy membership functions, machine learning, system identification and control. This HSE has been applied to the Simulation Test Power System for the validation of the new HSE algorithm. The study results have indicated an economical and effective method for optimal placement of measurement points using Genetic Algorithms (GAs) in the Harmonic State Estimation (HSE).

Keywords

References

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