Analysis on Optimal Operation of Hydropower Station Based on Cultural Particle Swarm Optimization Algorithm

Abstract

Hydropower station optimal operation is a complex nonlinear combinatorial optimization problem. A novel culture particle swarm optimization algorithm for optimal operation problem in hydropower station is suggested. A local random search operator to achieve knowledge structure in belief space and enhance the population diversity and increase the capacity of global search with the introduction of culture algorithm, The simulation results of culture particle swarm optimization algorithm compares with particle swarm optimization algorithm and shows that this new algorithm can overcome the shortcomings of the traditional particle swarm algorithm and to gain better convergence speed and computational accuracy.