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Unit Commitment Model Considering Flexible Scheduling of Demand Response for High Wind Integration

机译:考虑高风速集成需求响应调度的机组组合模型

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摘要

In this paper, a two-stage stochastic unit commitment (UC) model considering flexible scheduling of demand response (DR) is proposed. In the proposed UC model, the DR resources can be scheduled: (1) in the first stage, as resources on a day-ahead basis to integrate the predicted wind fluctuation with lower uncertainty; (2) in the second stage, as resources on an intra-day basis to compensate for the deviation among multiple wind power scenarios considering the coupling relationship of DR on available time and capacity. Simulation results on the Pennsylvania-New Jersey-Maryland (PJM) 5-bus system and IEEE 118-bus system indicate that the proposed model can maximize the DR value with lower cost. Moreover, different types of DR resources may vary in the contract costs (capacity costs), the responsive costs (energy costs), the time of advance notice, and the minimum on-site hours. The responsive cost is considered as the most important factor affecting DR scheduling. In addition, the first-stage DR is dispatched more frequently when transmission constraints congestion occurs.
机译:本文提出了一种考虑需求响应(DR)灵活调度的两阶段随机单位承诺(UC)模型。在提出的UC模型中,可以对DR资源进行调度:(1)在第一阶段,作为日间资源,以较低的不确定性对预测的风波动进行积分; (2)在第二阶段,考虑DR的可用时间和容量的耦合关系,作为日内资源来补偿多个风电情景之间的偏差。在Pennsylvania-New Jersey-Maryland(PJM)5总线系统和IEEE 118总线系统上的仿真结果表明,该模型可以以较低的成本最大化DR值。此外,不同类型的灾难恢复资源的合同成本(容量成本),响应成本(能源成本),提前通知时间和最短现场工时可能有所不同。响应成本被认为是影响灾难恢复调度的最重要因素。另外,当发生传输约束拥塞时,更频繁地调度第一级DR。

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