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Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria

机译:考虑遗传性和安全性的基于遗传算法的相量测量单元布置方法

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摘要

The phasor measurement technology has made it possible the monitoring and control of wide-area power systems. In this study, a new genetic algorithm based method for optimal placement of phasor measurement units (PMUs) considering observability and security issues is proposed. The idea is to allocate the least number of PMUs while providing the most redundant set of measurements. This allocation philosophy ensures reliability in the state estimation process. Moreover, the allocation method also takes into account security issues, by preserving the system's observability in case of loss of PMUs. In particular, the loss of a single PMU [( - 1) criterion] is considered. The proposed method was tested on IEEE standard test systems and the results are discussed and evaluated.
机译:相量测量技术使监视和控制广域电力系统成为可能。在这项研究中,提出了一种基于遗传算法的新方法,该方法考虑了可观察性和安全性问题,用于相量测量单元(PMU)的最佳放置。这个想法是分配最少数量的PMU,同时提供最冗余的测量集。这种分配原理可确保状态估计过程的可靠性。此外,分配方法还通过在丢失PMU的情况下保留系统的可观察性来考虑安全问题。特别是,考虑了单个PMU的丢失[(-1)标准]。该方法在IEEE标准测试系统上进行了测试,并对结果进行了讨论和评估。

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