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Impacts of Demand Response Under Wind Power Uncertainty in Network-Constrained Electricity Markets

机译:网络受限电力市场中风电不确定性下需求响应的影响

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Large amounts of renewable generation are participating into network-constrained electricity networks. The uncertainty and volatility associated to renewable resources are imposing new challenges for power system operation. Additionally, the integration of demand response resources represent a new challenge, creating new complexities in the power system operation. The operation decisions in power markets use a combined optimal power flow and unit commitment to dispatch economically generation units under security restrictions. This paper constructs a model to include demand response in the optimal power flow under wind power uncertainty. The model is formulated as a mixed-integer linear quadratic problem and evaluated through Monte-Carlo simulations. The uncertainty in wind power forecasting is captured by a large number of scenarios around a trajectory bid by the wind power generator. The proposed model is tested on the standard IEEE 39-bus system including numerical results that show substantial benefits.
机译:大量可再生能源正在参与受网络限制的电力网络。可再生资源带来的不确定性和波动性给电力系统的运行带来了新的挑战。此外,需求响应资源的集成带来了新的挑战,在电力系统运行中带来了新的复杂性。电力市场中的运行决策结合了最佳潮流和机组承诺,可以在安全限制下调度经济型发电机组。本文构建了一个模型,将风电不确定性下的需求响应包括在最优潮流中。该模型被公式化为混合整数线性二次问题,并通过蒙特卡洛模拟进行评估。围绕风力发电机的轨迹竞标的大量场景捕获了风力发电预测中的不确定性。所提出的模型在标准的IEEE 39总线系统上进行了测试,包括显示出实质性好处的数值结果。

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