Optimal Operational Planning of Energy Plants by Modified Brain Storm Optimization. Issue 28 (2018)

• Record Type: Journal Article
• Authors: Arai, Kiyo; Fukuyama, Yoshikazu; Iizaka, Tatsuya; Matsui, Tetsuro
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 28(2018)
• Page Start: 73
• Page End: 78
• Publication Date: 2018
• Subjects: Energy management systems -- Optimization problem -- Heuristic searches -- Computational methods -- Factory automation; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.11.680
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper proposes optimal operation planning of energy plants by modified brain storm optimization (MBSO) The problem can be formulated as a mixed integer nonlinear optimization 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. This paper applies recently developed MBSO for optimal operational planning of energy plants in order to improve solution quality. The proposed MBSO based method is compared with the conventional PSO and DEEPSO based methods, and the original BSO based method. It is verified that total energy cost by the proposed method is lower than those by all the comparative methods for a typical energy plant.