Short Term Hydropower Dispatching Optimization of Cascaded Hydropower Junctions Based on Cluster Genetic Algorithm

In view of the premature weakness of standard genetic algorithm,a cluster genetic algorithm has been put forward to improve the selection and crossover operators,and its advantages has been testified by Shubert multimodal function.Based on the change gradient of unit’s operation efficiency,improved mutation operator has been proposed to deal with excessive randomization.All the above improvements have been applied to short term hydropower dispatching optimization of Three Gorges and Gezhouba cascaded hydropower junctions and the optimization model and synchronization optimization strategies have been developed.Real case optimization results show that cluster genetic algorithm and improved mutation operator can reduce the premature possibility and enhance the optimization efficiency.Hydropower dispatching solutions based on such improvements can meet all the objectives and constraints,and also increase the power generation efficiency.