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

机译:概率方法/风电加热评估,提高可再生能源电力系统的容纳能力

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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.
机译:风能供暖作为一种新的风能利用形式,将低负荷的剩余风能用于火力发电厂,这有望缓解冬季华北地区的风能削减。但是,目前缺乏对该模型效果的评估,并且仅凭单一观点。当前的研究未能指导火电联合系统未来发展的规划。本文通过在中长期尺度上的概率生产模拟,建立了一个多过程概率模型。然后,本文分析了风能供暖的运行机理及其对电力和热力系统的影响,并建立了住宿效果评价模型。仿真结果表明,该模型可以有效地计算火电厂在不同功率和运行时间下的有效容纳功率,证明了该方法的有效性。

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