In order to give fully exploit to the flexible regulation capability of energy storage to smooth the planned output of thermal power units in the day-ahead dispatch phase
a day-ahead two-stage stochastic optimal dispatch model is constructed to take into account the real-time regulation of energy storage. The model simultaneously considers the two-stage scheduling process of day-ahead scheduling and real-time operation
determines the unit commitment and reserve capacity plan of thermal power units based on the wind and solar prediction output in the day-ahead stage
uses the H-P filter decomposition method to decompose the system net load in the wind and solar real-time scenarios
applies real-time energy storage adjustments to stabilize the high-frequency components in the net load
which is first decomposed into high-frequency and trend components
and thermal power units to stabilize the trend components of the net load
so as to achieve the purpose of smoothing the planned output of thermal power units in the day-ahead scheduling stage. The example shows that the model can effectively reduce the number of planned thermal power unit regulation
reduce the thermal power unit regulation cost
and improve the thermal power life
and the application of the model under the existing new energy installed capacity is more obvious with the increase of renewable energy penetration rate in the region.
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