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Author: search.filters.author.Mizutani, YosibumiSubject: search.filters.subject.Power system stabilizer

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    Study on adaptive power system stabilizing control calculated by "Search Space Establishment-less Type Genetic Algorithm Considering Mutation Rate (MSSELGA)"
    (2007-12-01)
    Hirabayashi, Youichi
    ;
    Mizutani, Yosibumi
    ;
    Mizutani, Kenji
    ;
    Leelajindakrairerk, Monthon
    The Adaptive Power System Stabilizing (APSS) has been developed. This system evaluates the transient responses for each ground fault point and the operating point of the power system by bus-to-bus phase, to obtain an optimal set of tuning parameters for APSS. When the operation point changes with a great amount, the tuning parameters will be readjusted by on-line operation. Simulation of the 16-machine 48-bus system is carried out to prove the validity of the proposed method.
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    Development of search space establishment-less type high speed genetic algorithm considering mutation rate and using parallel computer
    (2007-12-01)
    Takahiro, Ujiie
    ;
    Mizutani, Yosibumi
    ;
    Mizutani, Kenji
    ;
    Leelajindakrairerk, Monthon
    This paper presents a new genetic algorithm "Search Space Establishment-less Type High Speed Genetic Algorithm Considering Mutation Rate and Using Parallel Computer: PMSSELGA" for optimization control problems. Through the PMSSELGA, all the search space of the tuning parameters for the control are set in the range of 1000.0-0.001. And, a mutation rate is gradually to decrease with the generation from 100% to 15%. The PMSSELGA is speeded up by the parallel computation and the avoidance of repetitive calculations. It is applied to the optimum design of Multi-input power system stabilizer using Series Compensation Method in power system, which contains low-frequency oscillations, and the efficiency through the PMSSELGA is superior to conventional one.