Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

By Zhong Fan, Parag Shankar Kulkarni, Sedat Görmüş, Costas Efthymiou, Georgios Kalogridis, Mahesh Sooriyabandara, Ziming Zhu, S. Lambotharan, Woon Hau Chin. IEEE Communications Surveys and Tutorials, 2011

669 citations recorded by the source corpus.

Optimization of energy consumption in future intelligent energy networks (or Smart Grids) will be based on grid-integrated near-real-time communications between various grid elements in generation, transmission, distribution and loads. This paper discusses some of the challenges and opportunities of communications research in the areas of smart grid and smart metering. In particular, we focus on some of the key communications challenges for realizing interoperable and future-proof smart grid/metering networks, smart grid security and privacy, and how some of the existing networking technologies can be applied to energy management. Finally, we also discuss the coordinated standardization efforts in Europe to harmonize communications standards and protocols.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1e1b0bb9f2237117c66253238244029f1a43a380

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Citations in the corpus

Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review (2019, background): “Threat to the security of this complex network is always very critical and sensitive as both the demand side and the supply side of power system are affected [188], [189].”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “reader may refer to [6], [62], [63], [71]-[73].”
Blockchain challenges and opportunities: a survey (2018, background): “…the logistic management with Radio-Frequency Identiﬁcation (RFID) technology (ISO, 2013), smart homes (Dixon et al., 2012), e-health (Habib et al., 2015), smart grids (Fan et al., 2013), Maritime Industry (Wang et al., 2015), etc. Blockchain technologies can potentially improve the IoT sector.”
A Survey on Smart Grid Cyber-Physical System Testbeds (2017, background): “Moreover, the advent of smart grid with extensive communication capabilities [11]–[14] yield new security vulnerabilities due to a high dependency on cyber information.”
Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions (2017, background): “Surveys focused on the SG have presented the general overview of the SG concept [4], including challenges and standardization activities [49], [50], as well as applications and architectures [5], [51]–[53].”
Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols (2016, background): “of the SG concept [11], [76]–[79] as well as the general com-”
Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach (2014, background): “We assume that the whole operation time in one day is divided into time slots, and let denote the set of operation time slots.”
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation (2017, background): “This paper considers the problem of cooperative network resource allocation that arises in wireless communication networks [3], smart grid systems [4], and in the context of scheduling [5].”
Smart Grid Communication: Its Challenges and Opportunities (2013, background): “For more works about security issues for SG communications, the reader may refer to [3] and [19].”