考虑风电预测误差的风电调节

Peng Zhang, Chunyan Li, Qian Zhang
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引用次数: 0

摘要

风电预测误差被认为是增加电力系统调度难度、降低系统运行经济性、影响风电调节的因素。考虑风电预测误差和需求响应,建立了风电综合系统的多时间尺度调度模型。基于价格的需求响应(PDR)由于日前预测误差较大而被用于初始调度。在白天,基于价格的需求响应再次被调度,以利用其低成本的优势。利用基于激励的需求响应(IDR)具有较强的时效性,将其应用于实时调度中,以减小风电预测误差对系统调度和风电调节的影响。研究实例表明,多时间尺度优化调度可以增加风电的可容性,节约系统运行成本,保证用户的自主权,减少需求响应的影响。
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Wind power accommodation considering the prediction error of wind power
Wind power forecast error has been considered to be the factor that increases the difficulty of power system dispatch, decreases the economy of system operation, and affects the wind power accommodation. A multiple time scales dispatch model of wind power integrated system is built considering the wind power forecast error and demand response. The price-based demand response (PDR) is used in the initial dispatch because of the large day-ahead forecast error. In the day, the price-based demand response is dispatched again to take advantage of its low cost. According to the strong timeliness of the incentive-based demand response (IDR), it is used in real-time dispatch to decrease the influence of wind power forecast error on the system dispatch and wind power accommodation. Study case shows that the multiple time scales optimal dispatch can increase wind power accommodations, save system operating costs, ensure the autonomy of consumers and reduce the impact of demand response.
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