Optimal Reservoir Operation Based on Improved Particle Swarm Optimization Algorithm

In order to solve the problems of prematurity of particle swarm optimization algorithm and local optimization, a novel particle swarm optimization algorithm based on the organizational evolutionary (OE-PSO) is presented. The evolutional operations are acted on organizations directly in the algorithm, and gained the global convergence ends through competition and cooperation, and overcome the shortcomings of the traditional PSO. Based on analysis of the reservoir operation optimization model and the traits of OE-PSO, the mathematical model and the procedures for solving the optimized reservoir operation optimization by using OE-PSO were proposed in detail. A case study indicates that OE-PSO has better convergence speed and computational accuracy, whereby providing a novel effective method or way for the settlement of the problem of reservoir optimal operation.