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A new voltage control equipment using fuzzy inference
Author(s) -
Takahashi Tsuyoshi,
Kitou Masahito,
Asai Michio,
Kido Mitsuyasu,
Chiba Tomio,
Kawakami Junzou,
Matsui Yoshiaki
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.4391140203
Subject(s) - voltage , reliability (semiconductor) , voltage reduction , fuzzy control system , reliability engineering , adaptive neuro fuzzy inference system , fuzzy logic , engineering , inference , power (physics) , control engineering , control theory (sociology) , computer science , control (management) , electrical engineering , artificial intelligence , physics , quantum mechanics
Power system control equipment needs higher sensitivity and operational reliability. Advanced voltage control equipment is needed for reducing the frequency of tap changes and improving the characteristics (the relationship between the actual voltage and reference voltage) of the voltage to meet today's power system requirements. However, these objectives are in a trade‐off relationship. Studies of voltage control derived from a knowledge base suitable for electric power systems can satisfy these objectives using fuzzy inference. Compared with corresponding conventional equipment, the new equipment improved the deviation of 30 min average voltage of 30 percent. This paper describes the design concept of new voltage control equipment using fuzzy inference. In addition, field test results are described along with rules of fuzzy inference, membership functions, and the deviation of 30 min average voltage through detailed simulation.