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Item type:Publication, 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, MonthonOkabe, TakatsuguThis 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A design method of multi-input PSS using high speed genetic algorithm(2000-01-01) ;Ozaki, Masatake ;Mizutani, Yoshibumi ;Magatani, Kazushige ;Aoki, HidenoriLeelajindakrairerk, MonthonMulti-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.
