Abstract
The adjustability of combined heat and power (CHP) plant is one of the main reasons for wind power consumption problem in northern China. During the heating season, a large number of CHP engines are limited by the operation mode of "electricity is determined by heat", and the regulating ability is not high, while the thermal energy storage is an effective way to increase peaking ability for CHP. Phase change heat storage is a new kind of heat storage method emerging in recent years, which has good peaking characteristics to break the thermoelectric constraints of CHP. The peaking strategy is generally based on the prediction of electrical load and thermal load, and the accuracy of the forecast directly affects the result of peaking. A rolling peaking scheme for power grid based on CHP system with phase change heat storage is proposed in this paper. Firstly, the operating characteristics of CHP system with phase change heat storage are analyzed. Secondly, taking the minimum standard deviation of daily load curve as the objective function and considering the constraints of CHP system with phase change heat storage comprehensively, the day-ahead peaking model and rolling peaking model are established. Finally, the differential evolution algorithm is used to solve the peaking model. Simulation results show that the rolling peaking model is more effective than the day-ahead peaking model.
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