FUKUYAMA Yoshikazu    Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences    Position   Professor
Date	2018/09/12
Presentation Theme	Total Optimization of Smart Community by Multi-Population Global-best Brain Storm Optimization with Differential Evolution Strategies considering uncertainty of renewable energies
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	Mayuko Sato, Tatsuya Iizaka, Tetsuro Matsui
Details	The paper proposes total optimization of smart city by multi-population global-best brains storm optimization with differential evolution strategies considering uncertainty of renewable energies. This paper tries to optimize whole of a SC in order to minimize total energy costs, shift electric power load peak, and minimize CO2 emission of the SC. The simulation results by the proposed method are compared with those by Differential evolutionary particle swarm optimization (DEEPSO), brains storm optimization (BSO), brains storm optimization with differential evolution (BSODE), global-best brains storm optimization (GBSO).