PMU最优放置的混合算法

Maveeya Baba, N. M. Nor, M.A. Sheikh, A. M. Baba, M. Rehman, Syed Hamid Ali Shah
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引用次数: 1

摘要

本文提出了一种混合方法设想,以确定任何类型的IEEE网络中最优PMU放置问题(OPPP),使其可观察。当使用旧版本的图论过程(GTH)进行优化时,它需要额外的时间来完成该过程,并为放置模型使用额外数量的pmu。因此,本文工作的重点是利用合并过程提高GTH的性能,并成功地将递归算法(RA)中的一定数量的重要参数合并在一起。所提出的工作在不同的IEEE-case系统上进行了测试,如IEEE-9、-14、-24、-30和新英格兰39-case系统。此外,将所提出的混合方法的结果与现有技术进行了比较,以获得所提出的最小化pmu数量工作的有效性。
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A Hybrid Algorithm For Optimal PMU Placement
This paper presents a hybrid approach envision to determine the optimal PMU placement problem (OPPP) in any sort of IEEE network to make it observable. While using the old version of Graph-Theoretic Procedure (GTH) for optimization purposes, it takes additional time to complete the process and uses an extra number of PMUs for the placement model. Therefore, the importance of the presented work is to improve the performance of GTH using a merging process, and a certain number of important parameters from the Recursive algorithm (RA) are combined successfully. The proposed work is tested on different IEEE-case systems such as IEEE-9, -14, -24, -30, and New England 39-case system. Moreover, the results of the proposed hybrid approach are compared with the existing techniques to get the effectiveness of the proposed work about minimizing the number of PMUs.
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