Multi-Source Coordination And Scheduling Strategy Of New Energy With High Proportion Of Wind Power, Photovoltaic And Photothermal

In recent years, scholars at home and mostly considered the coordination and optimization of wind power, photovoltaic and thermal power units, but rarely considered the photothermal units in the research on the coordination and scheduling strategy of a high proportion of new energy grid connection. With the large-scale rise of photovoltaic power stations, how to coordinate and optimize the scheduling of wind-photovoltaic, solar-thermal and thermal power has become a key problem for the grid integration of high proportion of new energy at present. This paper mainly considers the economy of the grid-connected system, takes the maximization of grid-connected benefit as the goal, and based on the optimized constraint conditions, constructs a mixed integer programming model suitable for the scheduling strategy of this paper to coordinate and control the output power of thermal power, wind power, photovoltaic and photothermal power. In addition, the simplex method and interior point method are combined in MATLAB for programming solution and simulation analysis. Simulation results show that the proposed strategy can maximize the grid-connection benefit.