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A Novel Bus-Ranking-Algorithm-Based Heuristic Optimization Scheme for PMU Placement
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DOI：10.1109/TII.2022.3230704.png)
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This article presents a scheme for cost-optimized phasor measurement unit (PMU) placement and associated communication infrastructure (CI) design. For this purpose, a bus ranking algorithm is proposed, which ranks the buses in terms of connectivity, associated branch lengths, and supplementary network coverage ability that incentivizes better redundancy and lesser CI requirement. Next, a genetic algorithm (GA) is employed to search for minimum-cost optimal PMU placement solutions within the search space defined by the ranked-bus order. The search space is expanded by adding buses in the ranked order till GA finds a suitable solution satisfying the requisite constraints. The proposed scheme's performance is validated through comparison with existing state-of-the-art algorithms for IEEE 14-, 30-, and 118-bus networks under normal, N - 1 PMU contingency, branch loss contingency, and N - 1 PMU/branch loss contingency conditions. In addition, considering real-world applications, the performance of the proposed scheme under channel-limit conditions is reported in this article.
Keyword:
Communication infrastructure (CI)
contingency conditions
genetic algorithm (GA)
optimal PMU placement (OPP)
phasor data concentrator (PDC)
phasor measurement unit (PMU)
wide area measurement system (WAMS)
zero injection bus (ZIB)
期刊
IF:
9.9
论文数:
8.6K
被引数:
6.0W
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Redundant Observability PMU Placement in the Presence of Flow Measurements Considering Contingencies冗余可观测性PMU在存在流量测量的情况下考虑意外事件
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