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)
– 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 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)