Modified Particle Swarm Optimization Algorithm and Its Application on Optimal Operation of Hydropower Station

Although particle swarm optimization (PSO) is widely used on solving neural network training, fuzzy system control and function optimization problems as a stochastic optimization technology for its easy use and independent of experience, it has a problem of easy falling into partial optimization. Therefore, a modified PSO algorithm based on parallel-searching mechanism named P-S is introduced in reservoir operation field. An example is also used to show that the P-S algorithm has a better application prospects for its fast operation speed and high reliability in global optimization.