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47 Umezu-Takase-cho, Ukyo-ku, Kyoto 615, JAPAN d b s f r a c f -This paper presents a newly developed control algorithm using a neural network theory for active AC harmonic filter system to reduce the harmonic voltage distortion in the electrical power system. The authors have already proposed an active filter to cancel the harmonic current generated from the specific nonlinear load. Our new control philosophy is dedicated to the reduction of the harmonic voltage distortion caused by many distributed harmonic generating loads. Recent harmonic disturbance problems, the neural network control algorithm of the active filter and test results on a small-scale power system simulator are presented.Rec t i f i e r I ,

Recent studies on global optimization using dynamical-system trajectories suggest that interaction among trajectories may lead to better performance than simple parallel search. In this paper, we closely examine and compare two forms of interaction applied to trajectories of second-order differential equations. Our results for various objective functions systematically illustrate the characteristics of individual trajectories as well as the overall performance attained by the best trajectory.

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