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Coordinated optimization scheduling of wind power, photovoltaic, photo-thermal and hydropower considering the schedulability of photo-thermal power stations


3D Reconstruction in Canonical
Abstract


By analyzing the randomness and intermittentity of wind power output and PV power plant output and the schedulability of CSP´╝?Concentrating Solar Power´╝? power generation, a coordinated optimal scheduling strategy for wind power, photovoltaic, photothermal and hydropower is proposed. Based on the system integration benefit maximization, the target optimization function is constructed, and the fast non-dominated sorting genetic algorithm (NSGAII) with elite strategy is used to optimize the objective function. The simulation results show that the wind power, photovoltaic and hydropower output are matched with the photothermal peaking characteristics, and the coordinated operation of wind power, photovoltaic, photothermal and hydropower coordination improves the economics of wind power, photovoltaic, photothermal and hydropower generation systems. Abandoning the wind and reducing the light, effectively improving the efficiency of grid connection. This verifies the effectiveness of the proposed method

KeyWords
concentrating solor power,Hydroelectric power, Grid-connected benefit, Coordinated optimization, genetic algorithm



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