Design and Implementation of Multi-Source and Multi-Consumer Energy ‎Sharing System in Collaborative Smart Microgrid Installation

Document Type : Research paper

Authors

1 National Engineering School of Sfax (ENIS), Laboratory of signals, systems, artificial intelligence and networks ‎‎(SM@RTS), Digital Research Center of Sfax (CRNS), University of Sfax, Sfax, Tunisia

2 National School of Electronics and Telecommunications of Sfax, Laboratory of signals, systems, artificial intelligence ‎and networks (SM@RTS), Digital Research Center of Sfax (CRNS), University of Sfax, Sfax, Tunisia

Abstract

Many published studies debated electrical energy management. They mainly investigate the multi-source installation to develop energy efficiency during its different phases: production, distribution, and consumption. Although it is rarely discussed, energy sharing is a critical part of the energy management system. In this contribution, a demand-side management algorithm is developed, that incorporates energy consumption scheduler capacity. It provides optimal energy sharing, counting on suitable energy cost parameters and adequate multi-source installation. Using this proposal, the electrical bill decreases thanks to the optimal daily attribution of schedules to households formed by a multi-consumer microgrid. This application guarantees a maximal reduction of electrical cost for the set of energy partners as one prosumer used to consume and produce power. In addition, it maintains energy efficiency as it aids in avoiding breakdowns, and depressing the peak-to-average ratio. It admits that the utility company is, as usual, always reachable non-renewable source. At the same time, renewable energy was engendered by photovoltaic panels concomitant with wind turbines stations. The application is based on the JNET protocol stack. The proposed energy sharing algorithm is implemented by using Arduino board and JN5148 nodes as a star Wireless Sensors Network topology. It is installed as a prototype in the Digital Research Center of Sfax in Tunisia.  This proposed incentive-based algorithm managed to reduce the smart microgrid annual cost by almost 55% without harming the public utility. It can even ensure a more significant diminution by selling the surplus of renewable power at the end of each day.

Keywords

References

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Journal of Operation and Automation in Power Engineering
Volume 10, Issue 3
December 2022
Pages 189-199

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History

  • Receive Date: 09 May 2021
  • Revise Date: 15 June 2021
  • Accept Date: 16 August 2021
  • First Publish Date: 06 September 2021

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