Abstract: The present invention belongs to the field of power system operations and provides a method for quantifying the flexibility demand and coordinating optimization of a hydro-wind-solar multi-energy complementary system. Firstly, the flexibility demand quantification method considering the uncertainty of wind and solar power output is constructed, and the wind and solar power output interval is divided by using quantile points to generate a set of output scenarios, and then the flexibility demand under each scenario is calculated. Based on the quantitative index of flexibility demand, an optimal operation model of hydro-wind-solar complementary system considering the minimum expectation of system flexibility deficiency is constructed to realize the optimal calculation of hydro-wind-solar complementary. By utilizing an actual wind-hydro complementary system of the Yunnan Power Grid, the model is validated for different new energy access ratios.

Abstract: The invention relates to the field of hydropower scheduling, and relates to a method for short-term generation scheduling of cascade hydropower plants coupling cluster analysis and decision tree. Linear regression technique is adopted to determine a matching relationship of energy production between upstream and downstream hydropower plants. With the relationship, typical generation curves of each hydropower plant can be clustered from lots of historical data. These typical generation curves and impact factors of generation scheduling such as planned daily electricity, reservoir level, and power grid characteristics, are together trained to obtain decision-making library for generation scheduling of cascaded hydropower plants. Thus, the decision tree method can be used to rapidly determine an operational scheme for generation scheduling of cascaded hydropower plants. Finally, a correction strategy for operation constraints is introduced to ensure feasibility of the operation scheme.

Abstract: The invention relates to the field of hydropower scheduling, and relates to a method for short-term generation scheduling of cascade hydropower plants coupling cluster analysis and decision tree. Linear regression technique is adopted to determine a matching relationship of energy production between upstream and downstream hydropower plants. With the relationship, typical generation curves of each hydropower plant can be clustered from lots of historical data. These typical generation curves and impact factors of generation scheduling such as planned daily electricity, reservoir level, and power grid characteristics, are together trained to obtain decision-making library for generation scheduling of cascaded hydropower plants. Thus, the decision tree method can be used to rapidly determine an operational scheme for generation scheduling of cascaded hydropower plants. Finally, a correction strategy for operation constraints is introduced to ensure feasibility of the operation scheme.