Naoto Yorino

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– This paper proposes a new method for transient stability analysis for electric power systems. Different from existing methods, a minimization problem is formulated for obtaining critical conditions for transient stability. The method is based on the computation of a trajectory on the stability boundary, which is referred to as critical trajectory in this(More)
—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)
— This paper presents a new approach to treat reactive power (VAr) planning problem using multi-objective evolutionary algorithms. Specifically, Strength Pareto Evolutionary Algorithm (SPEA) and Multi-Objective Particle Swarm Optimization (MOPSO) approaches have been developed and successfully applied. The overall problem is formulated as a nonlinear(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)
The rapid growth in the electricity demand and expansion of renewable energy (RE) generation are presenting serious challenges for the optimal network operation. The future perspective of the dramatic increase in renewable generation, such as wind and solar energy will lead to severe problems related to the load dispatch. Power system security is threatened(More)