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首页> 外文期刊>Electric Power Components and Systems >Reliability Evaluation of Composite Power Systems Considering Wind Farms Based on Cross Entropy and Dynamic Orthogonal List
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Reliability Evaluation of Composite Power Systems Considering Wind Farms Based on Cross Entropy and Dynamic Orthogonal List

机译:基于交叉熵和动态正交表的考虑风电场的复合电力系统可靠性评估

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摘要

With large-scale wind farms integrated into power systems, the computational requirements for reliability evaluation of composite power systems are increasing. This paper introduces a new concept of dynamic orthogonal list, which is a form of multiple failure retrievals to avoid repeatedly calling the optimal power flow (OPF) program in the stage of state evaluation. An existing algorithm of cross-entropy (CE) method was developed to deal with the rare events in sampling. The major contribution of CE is to achieve convergence faster and reduce the number of samples, thus shortening the consuming time in the stage of sampling. This paper proposes a fast reliability evaluation process which combines the CE method with dynamic orthogonal list (CE-DOL), comprehensively improving the computational efficiency of Monte Carlo simulation (MCS). The proposed method is tested on a modified IEEE-RTS 79 system. In addition, for comparison purposes, the efficiencies of MCS, CE, and CE-DOL are estimated in the cases of different system adequacies. It is shown that, in range of certain reliability level, the proposed method is much more efficient compared with the CE method. Finally, the applicability of different methods is analyzed under different system reliability levels.
机译:随着大规模风电场被集成到电力系统中,对复合电力系统的可靠性评估的计算要求不断增加。本文介绍了动态正交列表的新概念,它是一种多次故障检索的形式,可以避免在状态评估阶段重复调用最优潮流(OPF)程序。开发了一种现有的交叉熵算法来处理采样中的稀有事件。 CE的主要作用是更快地收敛,并减少样本数量,从而缩短了采样阶段的耗时。本文提出了一种将CE方法与动态正交表(CE-DOL)相结合的快速可靠性评估过程,全面提高了蒙特卡洛模拟(MCS)的计算效率。该方法在改进的IEEE-RTS 79系统上进行了测试。另外,出于比较目的,在不同系统充足性的情况下,估算了MCS,CE和CE-DOL的效率。结果表明,在一定的可靠性水平范围内,与CE方法相比,该方法效率更高。最后,分析了不同方法在不同系统可靠性水平下的适用性。

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