The Optimum Research and Case Study of Wind Power Heating Based on Supply and Demand Load Forecasting

Wind power heating is one of the most important methods for reducing the discard wind power. However, one of the key problems is reasonably matching electric power between the output power in a wind farm and building demand heat load, which can improve the economic benefits of the overall project. In this paper, an optimization model includes the wind power prediction model, and demand load model was established, and by which the ratio of discarded wind power was calculated. And under different boundary conditions and optimization objective, the optimal heating area and heat storage tank capacity were obtained. Using this method, a practical project of wind power heating was analyzed in Inner Mongolia Autonomous Region. The analysis result is the ratio of discarded wind reduced to 4.96 % when heating supply using wind power from 14.96% under not heating supply. The annual average of wind farm is raised to 18.47% from 12.51%. This model can improve the efficiency of renewable energy and bring down the ratio of discarded wind, and it can obtain a considerable economic and society benefit.