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Author: search.filters.author.Mizutani, Yoshibumi

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    Design of MPSS by search space logarithm type GA considering mutation rate
    (2007-09-25)
    Leelajindakrairerk, Monthon
    ;
    Mizutani, Kenji
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    Mizutani, Yoshibumi
    ;
    Okabe, Takatugu
    ;
    Hatano, Shoichi
    This paper presents a new genetic algorithm "Search Space Logarithm Type Genetic Algorithm Considering Mutation Rate: MSSLGA" for optimization control problems of the Multi-input Power System Stabilizer (MPSS) design. Through the MSSLGA, in general, all the search space of tuning parameters for MPSS can be presumed in the range of 0.01 - 100.0. First, this paper proposes developing it into the logarithm to cover the large scale disadvantage. Second, it is presented that mutation rates are decreased together gradually with the generation from the big value. The MSSLGA is possible to obtain the higher-fitness answer easily than the conventional Genetic Algorithm using a constant mutation rate. It is applied to the optimum design of MPSS using Series Compensation Method in power system, which contains low-frequency oscillations, and the efficiency through the MSSLGA is superior to conventional one.
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    Development of Search-less Space Type Genetic Algorithm
    (2004-12-01)
    Leelajindakrairerk, Monthon
    ;
    Mizutani, Yoshibumi
    ;
    Aoki, Hidenori
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    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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    Damping improvement of oscillation in power system by fuzzy logic based SVC stabilizer
    (2002-01-01)
    Phorang, Kitti
    ;
    Leelajindakraireak, Monthon
    ;
    Mizutani, Yoshibumi
    This paper presents the capability of fuzzy logic based stabilizer used for generating the supplementary control signal to voltage regulator of SVC for improving a damping of the inter-area mode oscillation in power system. The base system is symmetric that consists of two identical areas connected through a relatively weak tie line. The SVC is chosen to be installed at the midpoint of tie line. The locally available line active power will be used as input signal for the stabilizer. The supplementary signal is calculated using fuzzy membership function in order to determine the quantity of reactive power supplied/absorbed by SVC. The system oscillation is started by a 3-phase-to-ground short circuit occurring at 0.2s of the simulation and subsequently clears after 100ms. Simulation with the sample power system proves that fuzzy logic based SVC stabilizer give a good damping in inter-area mode oscillation for the system when subjected to a disturbance. The effectiveness of stabilizer applied with and without PSS will be investigated as well.
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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
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    Magatani, Kazushige
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    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.