Probabilistic Method/for Evaluating Wind Power Heating Improving the Accommodation Capacity of Renewable Energy Power System

Wind power heating, as a new form of wind power utilization, uses surplus wind power at low load for thermal power stations, which is expected to alleviate the wind power curtailment in North China in winter. However, current evaluation of the effect of this model is lacking and with single perspective. The current research fails to guide the planning for the future development of the heat-power combined system. In this paper, a multi-process probabilistic model is established through probabilistic production simulation on medium and long-term time scale. Then, this paper analyzes the operation mechanism of wind power heating and its impact on power and thermal systems, and establishes the accommodation effect evaluation model. The simulation results show that the model can effectively calculate the effectively accommodated power at different powers and operation times of the thermal power station, and prove the effectiveness of the method.