Joint Optimal Operation Of Wind Power Plant And Cascade Hydropower Station

With the depletion of fossil energy, the whole people advocate energy conservation and emission reduction, making the scale of wind power integration increase. While wind power has fluctuating and intermittent characteristics, this paper develops a short-term combined operation strategy of wind and water using the flexible regulation characteristics of cascade hydropower stations. To ensure full access to wind power, reduce the impact of wind power fluctuations as little as possible. A multi-objective short-term optimal scheduling model with the minimum variation of combined wind and water output and the largest total power generation is established considering the constraints of storage capacity, discharge flow, reservoir water level, output of each power station, and power transmission section. Aiming at the shortcomings of traditional particle swarm optimization algorithm, such as slow convergence rate and fall into optimal local solution easily in the late search, dynamic inertia weight and learning factors are introduced and applied to model solving. The simulation results show that the cascade hydropower station can effectively stabilize the wind power fluctuation, improve the wind power consumption level, increase the power generation of the system, and ensure the safe and stable operation of the power system.