Application of Advanced Particle Swarm Optimization Algorithm Based on SA in Multi-tiers Hydropower Stations Optimization

Optimal operation of multi-tiers hydropower stations is a kind of nonlinear optimization problem. An advanced PSO algorithm based on simulated annealing is put forward to promote the solution accuracy and to avoid falling into local optimal solutions in the procedure of particle swarm evolution. A temperature control function is designed to adjust the particles´ cooling temperature and then a certain special probability condition under which bad solutions are accepted is given. With the evolution of particle group the temperature and the probability are decreasing gradually and eventually tend to be 0, so that the local extreme values are avoided and the global extreme value is obtained. This parallel PSO algorithm is applied as a practical method to optimal operation of multi-tiers hydropower stations to overcome the ¿disasters of dimensions¿. The mathematic model is set up and the steps of calculation are presented. Example shows that the modified method with fast speed and high reliability is efficient and feasible in this field.