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Author: search.filters.author.Aoki, Hidenori

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    Development of Search-less Space Type Genetic Algorithm
    (2004-12-01)
    Leelajindakrairerk, Monthon
    ;
    Mizutani, Yoshibumi
    ;
    Aoki, Hidenori
    ;
    Mizutani, Kenji
    ;
    Okabe, Takatsugu
    This paper presents a new algorithm "Search-less Space Type Genetic Algorithm: SLS-GA" for optimization control problems. Through the SLS-GA, the initial search space is decided automatically and when necessity arises in the mutation, the search space is recruited. The SLS-GA is possible to obtain the higher-fitness answer easily than the conventional GA of all the search spaces. It is applied to the optimum design of the proposed fuzzy control type power system stabilizer (PSS) in power system, which contains low-frequency oscillations, and the efficiency through the SLS-GA is superior to conventional one. genetic algorithm, search-less GA. fuzzy control, power system stabilizer.
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    A design method of multi-input PSS by using auto-variable search space type high speed Genetic Algorithm
    (2001-12-01)
    Yamaguchi, Hiroshi
    ;
    Mizutani, Yoshibumi
    ;
    Magatani, Kazushige
    ;
    Leelajindakrairerk, Monthon
    ;
    Okabe, Takatsugu
    This paper presents new algorithm "AVSS-HSGA" for optimization problems. The proposed method is a technique that the search space of Genetic Algorithm (GA) can change as the need arises. And it is possible to obtain the higher-fitness answer easily than the conventional Genetic Algorithm by introduced the technique. It is applied to optimum design of the multi-input PSS in power system, which contains low-frequency oscillations, and the validity of the proposed method is compared with the conventional GA. © 2001 IEEE.
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    A design method of multi-input PSS using high speed genetic algorithm
    (2000-01-01)
    Ozaki, Masatake
    ;
    Mizutani, Yoshibumi
    ;
    Magatani, Kazushige
    ;
    Aoki, Hidenori
    ;
    Leelajindakrairerk, Monthon
    Multi-input PSS (P+ω+Q type PSS) using the three input signals(P, ω Q) which it is more excellent than the conventional PSS is developed. In this paper, the design method of multi-input PSS which uses the high speed genetic algorithm (HSGA) is proposed. This method realizes the high-efficient design of parameters of multi-input PSS. The high stability of the designed PSS is proven in the simulation that uses a three-machine seven-bus low-frequency oscillation power system model.