On statistical power grid observability under communication constraints (invited paper)

You, Minglei, Jiang, Jing, Tonello, Andrea, Doukoglou, Tilemachos and Sun, Hongjian (2018) On statistical power grid observability under communication constraints (invited paper). IET Smart Grid, 1 (2). pp. 40-47. ISSN 2515-2947

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Official URL: http://dx.doi.org/10.1049/iet-stg.2018.0009

Abstract

Phasor Measurement Units (PMUs) have enabled real-time power grid monitoring and control applications realizing an integrated power grid and communication system. The communication network formed by PMUs has strict latency requirements. If PMU measurements cannot reach the control centre within the latency bound, they will be invalid for calculation and may compromise the observability of the whole power grid as well as related applications. To address this issue, this study proposes a model to account for the power grid observability under communication constraints, where effective capacity is adopted to perform a cross-layer statistical analysis in the communication system. Based on this model, three algorithms are proposed for improving power grid observability, which are an observability redundancy algorithm, an observability sensitivity algorithm and an observability probability algorithm. These three algorithms aim at enhancing the power system observability via the optimal communication resource allocation for a given grid infrastructure. Case studies show that the proposed algorithms can improve the power system performance under constrained wireless communication resources.

Item Type: Article
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 06 Sep 2018 11:16
Last Modified: 11 Dec 2018 12:46
URI: http://nrl.northumbria.ac.uk/id/eprint/35603

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