Research on the operation modes of hydropower station based on complementary characteristics
Wenliang Yin1, Maoqing Xiang2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(5) 36-43
1Chongqing Water Resources and Electric Engineering College/Changdu Prefecture Water Resources Bureau, Tibet
2Zhong County Water Supplies Bureau, Chongqing/Changdu Prefecture Water Resources Bureau, Tibet
Including wind-PV-ES (Wind/Photovoltaic/Energy storage) hybrid power generation system into the scheduling system of grid is the development tendency of safe grid-connection and operation of large wind-PV-ES hybrid power generation system. To solve the active power control problems in hybrid power generation system, this paper analyzes genetic algorithm and quantum genetic algorithm, and also analyzes the importance of energy storing devices in scheduling. Based on this, an optimization model of active power in wind-PV-ES is established. With the expectation of power output fluctuation of the power generation system as the objective function, the optimal scheduling scheme for the model is sought through genetic algorithm and quantum genetic algorithm respectively. The results of Matlab experiment show that the optimal scheduling scheme obtained by means of quantum genetic algorithm is superior to the scheduling scheme obtained by means of traditional genetic algorithm.