Aiming at the problem of output fluctuation of PV power station and the changeable situation of inflow interval of cascade hydropower stations

in order to cope with the uncertainty of photovoltaic power

this study considers the coordination relationship between PV units and hydropower units under the uncertainty of incoming water

and proposes an optimal scheduling model of cascade hydropower stations considering uncertainty of incoming water. Firstly

by analyzing the historical measured interval incoming water of cascade hydropower stations and the solar irradiance of PV power stations

based on the improved -means clustering method

the typical scenarios of incoming water and PV uncertainty are established. Then

considering the power generation income and the penalty cost of power abandonment

the optimal scheduling model of cascade hydropower stations considering uncertainty of incoming water is proposed with the goal of maximizing the total operating income of cascade hydropower stations. Finally

the simulation results show that the optimal scheduling model of cascade hydropower stations proposed in this study can fully coordinate the schedulable resources

reduce the rate of water and light abandonment

and improve the overall operation economy of cascade hydropower stations.