Edge Computing for IoT-Enabled Smart Grid

Abstract

Smart grid is a new vision of the conventional power grid to integrate green and renewable technologies. Smart grid (SG) has become a hot research topic with the development of new technologies, such as IoT, edge computing, artificial intelligence, big data, 5G, and so on. The efficiency of SG will be increased by smart embedded devices that have intelligent decision-making ability. Various types of sensors and data sources will collect data of high resolution. One of the vital challenges for IoT is to manage a large amount of data produced by sensors. Sending this massive amount of data directly to the cloud will create problems of latency, security, privacy, and high bandwidth utilization. This issue is addressed by edge computing (EC). In EC, the data are processed at the edge of the network that is near the embedded gadgets. This paper provides a comprehensive review of the smart grid systems, based on IoT and EC. The development in the rising technologies, the framework for EC-IoT-based SG, and requirements to implement the EC-IoT-based SG system are highlighted in the paper. Framework for EC-IoT-based SG is examined, and important requirements to implement the EC-IoT-based SG system are outlined. Finally, some critical issues and challenges faced in the implementation of EC-IoT-based SG systems are identified. Some important open research issues are also identified.

RETRACTED: Recent Trends, Challenges, and Future Aspects of P2P Energy Trading Platforms in Electrical-Based Networks Considering Blockchain Technology: A Roadmap Toward Environmental Sustainability

“…The physical layer is primarily dependable on facilitating energy transmission among producer and consumer after secure transaction; it is unnecessary to focus on the system's security for these transactions that can affect the physical-layer functionality. Although game theory, constrained optimization, double auction, and blockchain have all been widely utilized in this literature to build P2P trading platforms, various novel techniques growing rapidly such as graph theory (Wu et al, 2021), artificial intelligence (Mehmood et al, 2021), multi-agent heuristic simulation (Niyomubyeyi et al, 2020), and activitybased models (Wu et al, 2021) are among trending approaches.…”

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

“…Mixed-integer linear programming (MILP) is also used here to simulate the industry load’s energy management [ 119 ]. The MILP method obtains and solves the start-stop status, operational cost of each microgrid unit, and ESS, and then compares it [ 120 , 121 ].…”

An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges

“…Saleh proposed a microgrid design in [140] for the Hawija Campus, Iraq. This MG consisted of a solar-PV generation system, controllable loads [141,142], and a BESS system [143]. In this paper, the simulation was implemented on Simulink in MATLAB using Droop controllers, which regulate the voltages in the MG.…”