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Hybrid‐type stability control method based on combination of conventional PSS and fuzzy control
Author(s) -
Iskandar Marzan Aziz,
Satoh Masashi,
Mizutani Yoshibumi,
Suzuki Akio,
Ishizeki Mitsuo
Publication year - 1994
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391140607
Subject(s) - control theory (sociology) , signal (programming language) , fuzzy control system , noise (video) , stability (learning theory) , controller (irrigation) , acceleration , fuzzy logic , power (physics) , generator (circuit theory) , mathematics , computer science , control (management) , artificial intelligence , physics , classical mechanics , quantum mechanics , machine learning , agronomy , image (mathematics) , biology , programming language
This paper presents a hybrid‐type stability control method based on fuzzy control to improve power system stability. The proposed method consists of a speed deviation input fuzzy controller ( F 1), an electrical power deviation input analog‐type PSS (Δ P ‐type PSS), and a fuzzy judgment mechanism ( F 2). By using the membership function of the magnitude of speed deviation/acceleration of the generator, the following control schemes are considered. If the magnitude is large, then the supplementary stabilizing signal computed by F 1 is used to damp oscillations as fast as possible. Otherwise, the output signal of Δ P ‐type PSS is used to avoid undesirable noise effect due to noisy input signal of the speed deviation of F 1. The proposed control method increases the power system stability greatly, and it is simple to implement. The effectiveness of the method is demonstrated by one‐machine infinite‐bus and multi‐machine model systems.