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

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 16/02/2018, Accepted 04/06/2018, Revised 23/05/2018, Published 11/06/2018

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.

Inspec keywords: resource allocation; observability; statistical analysis; power grids; probability; redundancy

Other keywords: statistical power grid observability; power system performance; constrained communication resources; phasor measurement units; optimal communication resource allocation; cross-layer statistical analysis; observability probability algorithm; PMU; power system observability; communication constraint technologies; advanced power grid monitoring; observability sensitivity algorithm; observability redundancy algorithm

Subjects: Other topics in statistics; Reliability; Power systems

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