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New Electrical Engineering Findings from University College Cork Discussed (Robust and Real-time State Estimation of Unstable Microgrids Over Iot Networks)

  • Jul 28, 2021 12:11 pm GMT
  • 188 views
Source: 
Network Daily News

2021 JUL 27 (NewsRx) -- By a News Reporter-Staff News Editor at Network Daily News -- Fresh data on Engineering - Electrical Engineering are presented in a new report. According to news originating from Cork, Ireland, by NewsRx correspondents, research stated, “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.”

Funders for this research include European Commission, European Commission, European Unions Horizon 2020 Research and Innovation Programme under the EDGE CO-FUND Marie Sklodowska Curie Grant, National Natural Science Foundation of China (NSFC), Key Laboratory of Integrated Automation of Process Industry.

Our news journalists obtained a quote from the research from University College Cork, “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.”

According to the news editors, the research concluded: “We show that the proposed scheme substantially outperforms the traditional scheme.”

This research has been peer-reviewed.

For more information on this research see: Robust and Real-time State Estimation of Unstable Microgrids Over Iot Networks. IEEE Systems Journal, 2021;15(2):2176-2185. IEEE Systems Journal can be contacted at: Ieee-inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Systems Journal - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4267003)

The news correspondents report that additional information may be obtained from Md Noor-A-Rahim, University College Cork, School of Computer Science and Information Technology, Cork T12 K8AF, Ireland. Additional authors for this research include Dirk Pesch, Mohammad Omar Khyam, Md Apel Mahmud, Amanullah M. T. Oo, Md Tanvir Ishtaique ul Huque and Xinde Li.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/JSYST.2020.2997065. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

 

(Our reports deliver fact-based news of research and discoveries from around the world.)

 

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