FUKUYAMA Yoshikazu    Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences    Position   Professor
Date	2018/09/26
Presentation Theme	Optimal Operational Planning of Energy Plants by Multi-population Modified Brain Storm Optimization
Conference	Workshop on Electric Power Technology and Power System Technology of IEE of Japan
Promoters	Technical Committees of Electric Power Technology and Power System of Power & Energy Society of IEE of Japan
Conference Type	Workshop/Symposium
Presentation Type	Speech (General)
Contribution Type	Collaborative
Venue	Nagoya Institute of Technology
Publisher and common publisher	Kiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui
Details	This paper proposes multi-population modified brain storm optimization (MP-MBSO) and its application to optimal operation planning of energy plants. The problem can be formulated as a mixed integer nonlinear optimization problem and various evolutionary computation techniques such as particle swarm optimization (PSO), differential evolutionary PSO (DEEPSO), and brain storm optimization (BSO) have been applied so far. The proposed MP-MBSO based method can improve solution quality and speed-up computation time. The proposed method is compared with the conventional DEEPSO and BSO based methods. It is verified that total energy cost by the proposed method is lower than those by the comparative methods for a typical energy plant.