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On Statistical Power Grid Observability under Communication Constraints

You, Minglei; Jiang, Jing; Tonello, Andrea M.; Doukoglou, Tilemachos; Sun, Hongjian

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Minglei You

Jing Jiang

Andrea M. Tonello

Tilemachos Doukoglou


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.


You, M., Jiang, J., Tonello, A. M., Doukoglou, T., & Sun, H. (2018). On Statistical Power Grid Observability under Communication Constraints. IET Smart Grid, 1(2), 40-47.

Journal Article Type Article
Acceptance Date Jun 4, 2018
Online Publication Date Jun 11, 2018
Publication Date Jul 3, 2018
Deposit Date Jun 4, 2018
Publicly Available Date Jul 30, 2018
Journal IET Smart Grid
Print ISSN 2515-2947
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 1
Issue 2
Pages 40-47


Accepted Journal Article (550 Kb)

Copyright Statement
This is an open access article published by the IET under the Creative Commons Attribution License (

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