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Optimal Spinning Reserve Considering Wind Power Reliability Index by Security-Constrained Unit Commitment

机译:通过安全约束单元承诺考虑风电可靠性指标的最优自旋储备

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This paper presents the optimal spinning reserve for wind power uncertainty which calculated by the security-constrained unit commitment with wind power reliability constraint. The wind power uncertainty is considered a normal distribution with seven sections and takes into calculation the wind power reliability index. The wind power reliability index introduced in this paper is the expected energy not supplied for wind power generation which is calculated from the model of wind power uncertainty and the spinning reserve due to wind power uncertainty. In order to effectively solve this mixed-integer nonlinear problem, the proposed algorithm is divided into two parts: the DC security-constrained unit commitment (DC-SCUC) and the AC optimal power flow (ACOPF). Therefore, the optimal results from this algorithm, including the optimal spinning reserve, guarantee that the output powers of committed generators satisfy the AC power flow. This algorithm is applied to the modified IEEE 30 bus with six thermal generators for three case studies. In the case where the loss of load due to wind power uncertainty is not allowed to occur, the sensitivity of spinning reserve for wind power uncertainty to the wind power increment can be found by the algorithm.
机译:本文提出了风电不确定性的最优旋转储备,该最优动量储备是由受风电可靠性约束的安全约束机组承诺计算得出的。风电不确定度被认为是具有七个部分的正态分布,并考虑了风电可靠性指标。本文介绍的风力发电可靠性指标是未提供给风力发电的预期能量,它是根据风力发电不确定性模型和由于风力发电不确定性而产生的旋转储备计算得出的。为了有效解决这一混合整数非线性问题,将所提出的算法分为两部分:直流安全约束单元承诺(DC-SCUC)和交流最优潮流(ACOPF)。因此,该算法的最佳结果(包括最佳旋转储备)确保了定额发电机的输出功率满足AC潮流。该算法应用于带有六个热发生器的改进型IEEE 30总线,用于三个案例研究。在不允许由于风能不确定性而导致的负载损失的情况下,可以通过算法找到针对风能不确定性的旋转储备对风能增量的敏感性。

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