FUKUYAMA Yoshikazu    Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences    Position   Professor
Date	2018/09/14
Presentation Theme	Parallel Canonical Differential Evolutionary Particle Swarm Optimization for Voltage and Reactive Power Control
Conference	IEE-Japan Power & Energy Society Conference
Promoters	Power & Energy Society of IEE of Japan
Conference Type	Domestic
Presentation Type	Speech (General)
Contribution Type	Collaborative
Venue	Tokushima University
Publisher and common publisher	Daichi Azuma, Yoshikazu Fukuyama
Details	This paper proposes parallel canonical differential evolutionary particle swarm optimization (C-DEEPSO) for voltage and reactive power control (VQC). The problem can be formulated as a mixed integer nonlinear optimization problem and various evolutionary computation techniques have been applied to the problem including PSO, differential evolution (DE), and DEEPSO. Considering large penetration of renewable energies and deregulation progress of Japanese electric power energy markets, speed-up of computation is required. Moreover, there is still room for improvement on solution quality. This paper proposes parallel C-DEEPSO as a general evolutionary method in order to speed up the calculation and improve solution quality. An application of the method to a VQC problem is also proposed. The proposed parallel C-DEEPSO based VQC method is applied to IEEE 118 bus system. The results indicate that the proposed method can realize fast computation and minimize more active power losses than the conventional PSO and DEEPSO based VQC methods.