Naoto Yorino

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—This paper investigates the applicability and effectiveness of modern heuristic techniques for solving SVC placement problem. Specifically, Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Evolutionary PSO (EPSO) have been developed and successfully applied to find the optimal placement of SVC devices. The main objective of the proposed(More)
— The rapid growth in demand of electricity combined with renewable energy sources (RESs) are presenting serious challenges for the optimal network operation. The future perspective of the dramatic increase in RESs, such as wind and solar energy, may lead to severe problems related to the load dispatch. Other important aspect is the reduction of(More)
—Increased penetration of photovoltaic (PV) generation is expected in Japan in the near future; thus a new voltage control scheme is required in order to improve the operation of distribution networks. We propose a new voltage control scheme for distribution networks based on a multi-agent system, in which large voltage fluctuations caused by PV generations(More)