Robust and Real-Time State Estimation of Unstable Microgrids over IoT Networks

Md Noor-A-Rahim*, Mohammad Omar Khyam, Md Apel Mahmud, Md Tanvir Ishtaique Ul Huque, Xinde Li, Dirk Pesch, Amanullah M.T. Oo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Smart grid is expected to make use of Internet-of-Things (IoT) networks to reliably monitor its state from remote places.However, due to a potentially unstable nature of a smart grid plant, in particular, when using renewable energy sources, and an unreliable wireless channel used in IoT, it is a challenging task to reliably track the state of smart grids. This article proposes a robust communication framework for state estimation/tracking of unstable microgrids, which is a key component of a smart grid. We present an IoT-integrated smart grid system to monitor the status of microgrids over a wireless network. A delay-universal-based error correction code is utilized to achieve a reliable and real-time estimation of microgrids. To exploit the features of the delay-universal coding scheme, we propose an iterative estimation technique. Through numerical results, we show that the proposed scheme can closely track the state of an unstable microgrid. We also show the impact of wireless network parameters on the estimation performance. The estimation performance of the proposed scheme is compared with the estimation performance of a traditional error correction coding scheme. We show that the proposed scheme substantially outperforms the traditional scheme.

Original languageEnglish
Article number9112675
Pages (from-to)2176-2185
Number of pages10
JournalIEEE Systems Journal
Volume15
Issue number2
Early online date9 Jun 2020
DOIs
Publication statusPublished - 16 Jun 2021
Externally publishedYes

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