Optimal operational planning of energy plants by differential evolutionary particle swarm optimization

This paper presents optimal operation planning of energy plants by differential evolutionary particle swarm optimization (DEEPSO). The problem can be formulated as a mixed integer nonlinear optimization problem and various metaheuristics such as particle swarm optimization (PSO) and differential evolution (DE) have been applied. However, solution quality can be improved and this paper applies recently developed DEEPSO for optimal operational planning of energy plants in order to improve solution quality. The average solutions by the proposed method is about 12% lower than those by PSO.