Study on Coordinated Operation Model of Hydro-wind-photovoltaic based on Short and Medium Term Nested Strategies
Coordinated operation of diverse clean energy sources,such as hydro,wind,and photovoltaic power,has become a critical approach for achieving sustainable energy development and utilization.Existing research on hydro-wind-photovoltaic coordination predominantly focuses on the integration of medium and long term time scales,overlooking the fact that medium term optimization considering continuous stable weather conditions can also guide short term operations.Consequently,the potential for coordination across both short and medium term scales has not been fully realized.In response to this gap,this paper proposes a nested short and medium term strategy and develops a mathematical model.The medium term scheduling model aims to minimize the deviation between total hydro-wind-photovoltaic output and total load,while the short term scheduling model aims to maximize the hydropower generation,and uses the water level at the end of the first day of the medium term scheduling serving as the boundary for short term scheduling,and considers forecast errors of different magnitudes,explores the effectiveness of medium term plans in guiding short term operations.Using the coordinated operation of hydroelectric,wind,and photovoltaic power in the upper reaches of the Yellow River as a case study,the results show that the proposed nested model enables the day-to-day coordination plans from the medium term schedule to be realized through short term scheduling,demonstrating the guiding effect of the medium term on the short term(with deviation percentages ranging from 2.30%to 5.06%).Additionally,it reveals the potential of hydroelectric power to compensate for wind and solar fluctuations during the day.However,this guiding effect deteriorates as forecast errors increase(with deviation percentages from 3.85%to 8.53%).
hydro-wind-photovoltaiccomplementarityshort and medium term nestederror