Research On The Optimal Operation Of Cascade Hydropower Station Reservoirs Based On Immune Particle Swarm Optimization Algorithm

Since the problem of"dimension disaster"exits widely in current optimal dispatching methods of cascade hydropower station, this paper has presented a cascade hydropower station optimal method based on Immune Particle Swarm Optimization (I-PSO) Algorithm. Particle Swarm Optimization (PSO) is a stochastic global optimization algorithm, which is simple to implement and depends on fewer parameters. I-PSO is an improved PSO algorithm which combined immune information-processing mechanism and standard PSO, on the one hand the local convergence issues that may arise can be solved well by concentration of particulate selection mechanism used to maintain the diversity of particles; on the other hand, the algorithm convergent speeds up latter through adding vaccination to guide the optimization process. As the case study shows, I-PSO dispatching model obtained well optimal results by applying I-PSO dispatching model in cascade hydropower station, which provided an effective and feasible way to solve complex cascade optimization problem.