Statistical Power Grid Observability under Finite Blocklength

Zhan, Qiyan; Liu, Nan; Pan, Zhiwen; Sun, Hongjian

doi:10.1109/cniot55862.2022.00026

Statistical Power Grid Observability under Finite Blocklength

Zhan, Qiyan; Liu, Nan; Pan, Zhiwen; Sun, Hongjian

Authors

Qiyan Zhan

Nan Liu

Zhiwen Pan

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Abstract

We study the stochastic observability of the power grid system under communication constraints in the finite blocklength regime. Compared to the study under the assumption of infinite blocklength, we introduce two new elements: probability of decoding error and transmission delay. An optimization problem to maximize the observability of the smart grid over all possible bandwidth allocation is proposed, incorporating these two new elements. To solve the optimization problem, for a given bandwidth allocation, we first solve parallel subproblems, one for each synchronous phasor measurement unit (PMU), using alternating optimization, to find the optimal QoS exponent, transmission delay and probability of decoding error for each PMU. Then, simulated annealing method is used to find the optimal bandwidth allocation among PMUs. Numerical results verify that the assumption of infinite blocklength is indeed too optimistic and instead, finite blocklength should be studied. Large bandwidth saving gains of the proposed scheme are demonstrated compared to the equal bandwidth allocation scheme.

Citation

Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022). Statistical Power Grid Observability under Finite Blocklength. . https://doi.org/10.1109/cniot55862.2022.00026

Conference Name	2022 3rd International Conference on Computing, Networks and Internet of Things
Conference Location	Qingdao, China
Start Date	May 20, 2022
End Date	May 22, 2022
Acceptance Date	May 6, 2022
Online Publication Date	Jul 7, 2022
Publication Date	2022
Deposit Date	May 9, 2022
Publicly Available Date	May 9, 2022
Publisher	Institute of Electrical and Electronics Engineers
ISBN	9781665469111
DOI	https://doi.org/10.1109/cniot55862.2022.00026

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