Study on Short-term Complementary Scheduling of Hydro-Photovoltaic-Storage System Considering the Uncertainty of Source Side
Influenced by output uncertainty of photovoltaic,the large-scale grid integration of photovoltaic energy brings challenges to the safe and economic operation of power grids.Taking minimizing the fluctuation of residual load as objective,and considering the uncertainty of photovoltaic output,a short-term optimal scheduling model for hydro-photovoltaic-storage hybrid system is established,a stochastic scenario generation of photovoltaic output and a clustering method of typical scenarios are proposed,and an improved POA algorithm coupled with dynamic feasible contraction,logarithmic decay step and dynamic penalty function is also proposed.The application results of the proposed model in a multi-energy complementary base indicate that the number of iterations of the improved POA is reduced by 22.9%compared with the traditional POA algorithm,the total residual load fluctuation is reduced from 500 MW to less than 100 MW,and the matching degree of the source and load of the hydro-photovoltaic-storage complementary scheduling reaches 0.998.The model has a great capacity to track load and smooth residual load.
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