Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization

摘要

This paper presents optimal operation planning of energy plants by multi-population differential evolutionary particle swarm optimization (DEEPSO). The problem can be formulated as a mixed integer nonlinear optimization problem and various evolutionary computation techniques such as particle swarm optimization (PSO) and differential evolution (DE) have been applied. However, solution quality can be improved. Multi-population is known as one of a way of increasing solution quality. This paper applies multi-population DEEPSO for optimal operational planning of energy plants in order to improve solution quality.