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Secured Blockchain-Based Energy Trading Framework for Smart Microgrid Networks

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) (AI2SD 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 931))

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Abstract

In order to find a practical solution to integrate green and renewable energy technologies into the existing power system, the smart grid approach was recently developed. In this way, the Internet-connected smart microgrids, commonly referred to the Internet of Energy, is emerging as an innovative process for securing energy at any time and from any location. The concept of microgrid systems together with advanced digitization concepts (e.g., Internet of Thing) at the production/consumption and distribution level are evolving as key components of deploying intelligent energy management systems. Therefore, it has become essential to establish reliable and effective energy trading systems among networked microgrids in order to reduce transmission losses while increasing reli- ability. Thus, recent research work has started to concentrate on how energy could be efficiently shared. Hence, in order to make energy trad- ing decisions safely for managing the overall load, this paper introduces a blockchain-based secure peer-to-peer energy trading management framework. A platform’s prototype is under development for being deployed in real sitting scenarios, e.g., farms’ micro-grid systems.

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Acknowledgements

This work is supported by the MG-FARM project, which has received funding from the European Union’s Horizon 2020 under the LEAP-RE program (Project no: 963530, 2022–2025).

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Correspondence to Hafida Essardi .

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Essardi, H., Oukhatar, A., Najib, M., Bakhouya, M., Ouadghiri, D.E. (2024). Secured Blockchain-Based Energy Trading Framework for Smart Microgrid Networks. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-031-54288-6_28

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