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Multi-period stochastic security-constrained OPF considering the uncertainty sources of wind power, load demand and equipment unavailability

机译:考虑风电,负荷需求和设备不可用性的不确定性来源的多周期随机安全性受限OPF

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The uncertainty sources of the intermittent generation and load demand as well as transmission line unavailability threaten the security of power systems. In this paper, to treat these uncertainties, a new stochastic optimal power flow considering the security constraints is proposed. A scenario generation method is also presented to model the uncertainties of wind generations and load demands considering their correlations. In the proposed model, the uncertainties are coped with through combination of optimal here-and-now and wait-and-see decisions. The effectiveness of the proposed model is shown on the well-known IEEE 24-bus test system. Higher effectiveness of the proposed model compared with four deterministic methods and one other stochastic method to determine procured reserve and 'after-the-fact' conditions is numerically illustrated. Additionally, the impact of the number of scenarios on the performance of the proposed model is evaluated by means of a sensitivity analysis. It has also been shown that the scenarios generated considering correlations have more smooth variations and can more effectively capture the uncertain behavior of load. (C) 2017 Elsevier B.V. All rights reserved.
机译:间歇性发电和负荷需求的不确定性源以及输电线路的不可用性威胁着电力系统的安全。为了解决这些不确定性,提出了一种考虑安全约束的随机最优潮流。还提出了一种情景生成方法,以考虑风力发电和负荷需求的相关性,对它们的不确定性进行建模。在提出的模型中,不确定性是通过结合最佳的即时决策和等待决策来解决的。建议的模型的有效性在众所周知的IEEE 24-bus测试系统上得到了证明。与四种确定性方法和另一种随机方法相比,该方法具有较高的有效性,可用于确定采购的储量和“事后”条件。此外,通过敏感性分析评估了方案数量对所提出模型的性能的影响。还表明,考虑相关性生成的场景具有更平滑的变化,并且可以更有效地捕获负载的不确定行为。 (C)2017 Elsevier B.V.保留所有权利。

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