Research on application of optimal operation of hydropower station based on improved immune genetic algorithm.

Based on the biological mechanism of immune algorithm, an improved immune genetic algorithm is proposed, in which particle swarm optimization is taken as global searching strategy to improve the global search ability of the immune genetic algorithm, and progressive optimization algorithm is used for evolving operation of control strategy to improve its local search ability. At the same time, because of self-regulatory mechanism of immune algorithm based on concentration, group diversity can be improved and algorithm can be avoided to fall into local optimal solution too early. The specific realization process of the algorithm is presented, as well as the algorithm is applied to optimal operation of a hydropower station, which indicates that the results are satisfied, including the effectiveness and superiority compared with dynamic programming, genetic algorithm, immune algorithm and particle swarm optimization. [ABSTRACT FROM AUTHOR]