Optimal operational planning and control of energy plants by e constrained particle swarm optimization
Ryohei Suzuki, Fukiko Kawai, S. Kitagawa, Tetsuro Matsui, Kouji Matsumoto, Donghui Xiang, Yoshikazu Fukuyama · 2010
This paper introduces optimal operational planning of energy plants via the e constrained particle swarm optimization (PSO). In order to generate optimal operational planning for energy plants, startup/shutdown status and/or input/output values of the facilities at each control interval should be determined. The problem can be formulated as a large-scale mixed-integer nonlinear problem (MINLP). PSO is one of the solutions for MINLP. If the formulated MINLP has various equality and inequality constraints, it remains difficult to solve it by naive PSO. In this paper, to overcome the difficulty, we propose the improved PSO approach using the ε constrained method for MINLP. The result show the effectiveness of the proposed method compared with conventional methods.