IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Softcomputing, Learning>
Total Optimization of a Smart Community by Differential Evolutionary Particle Swarm Optimization Considering Reduction of Search Space
Mayuko SatoYoshikazu Fukuyama
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2017 Volume 137 Issue 9 Pages 1266-1278

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Abstract

This paper proposes a total optimization method of a smart community (SC) by Differential evolutionary particle swarm optimization considering reduction of search space. Japanese experts have developed various sectors of SC models such as an electric utility model, an industry model, and a building model. This paper utilizes the models and tries to optimize whole of a SC in order to minimize total energy costs and shift electric power load peak of the SC. The simulation results by the proposed method are compared with those by Particle swarm optimization, Differential evolution, and Evolutionary particle swarm optimization based methods.

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© 2017 by the Institute of Electrical Engineers of Japan
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