FUKUYAMA Yoshikazu
   Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences
   Position   Professor
Date 2018/11/06
Presentation Theme Optimal Operational Planning of Energy Plants by Global-best Brain Storm Optimization
Conference Workshop on System and Smart Facility Technologies in IEE of Japan
Promoters System Technology and Smart Facility Technology Comittees in IEE of Japan
Conference Type Workshop/Symposium
Presentation Type Speech (General)
Contribution Type Collaborative
Venue Kagurazaka Campus, Tokyo University of Science
Publisher and common publisher Kiyo Arai, Yoshikazu Fukuyama,Tatsuya Iizaka, Tetsuro Matsui
Details This paper proposes optimal operation planning of energy plants by global-best brain storm optimization (GBSO). The problem can be formulated as a mixed integer nonlinear optimization programming problem and various evolutionary computation techniques such as particle swarm optimization (PSO), differential evolution (DE), and differential evolutionary PSO (DEEPSO) have been applied so far. However, solution quality can be improved and this paper applies recently developed Global-best Brain Storm Optimization GBSO for optimal operational planning of energy plants in order to improve solution quality.