Abstract
Smart grids are envisioned to establish an interactive two-way communication bridge between suppliers and consumers, enabling the implementation of sophisticated demand-response energy management systems. Despite the potential benefits of future smart grids, the massive number of interconnected devices and the large amount of generated data can create serious problems to traditional communication systems that rely on centralized cloud computing. Fortunately, the concept of edge computing has been proposed. Instead of processing all the data in a central server, the data are pre-processed in a decentralized manner near the edge by local processing units. It has been demonstrated that edge computing is an efficient way to offload communication networks, reduce end-to-end latency, and enhance security and data privacy, crucial requirements for smart grids. In this chapter, we present an insightful survey of key state-of-the-art literature contributions on the combination of edge computing and smart grids. Four main topics are presented, namely efficient energy management, enhanced fault detection, smart charging of electric vehicles, and enhanced data privacy and security. We also shed light on interesting open challenges and possible future directions.
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Sena, A.S.d., Ullah, M., Nardelli, P.H.J. (2021). Edge Computing in Smart Grids. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-72322-4_106-1
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DOI: https://doi.org/10.1007/978-3-030-72322-4_106-1
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