Smart Grids: A Cyber–Physical Systems Perspective

By Xinghuo Yu, Yusheng Xue. Proceedings of the IEEE, 2016

620 citations recorded by the source corpus.

Smart grids are electric networks that employ advanced monitoring, control, and communication technologies to deliver reliable and secure energy supply, enhance operation efficiency for generators and distributors, and provide flexible choices for prosumers. Smart grids are a combination of complex physical network systems and cyber systems that face many technological challenges. In this paper, we will first present an overview of these challenges in the context of cyber-physical systems. We will then outline potential contributions that cyber-physical systems can make to smart grids, as well as the challenges that smart grids present to cyber-physical systems. Finally, implications of current technological advances to smart grids are outlined.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/cf9cc0380fce0a73e671f9d9bc80a97a6f3908a4

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Citations in the corpus

A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System (2018, neutral): “scribing and characterizing complex systems [12]–[21].”
Multiclass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences (2019, background): “Under a contract based on individually metered usage, prosumers with energy storage capacity only benefit from shifting their locally generated energy [3].”
Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, background): “However, intermittent generation and bidirectional power flows introduce challenges for network power quality and stability [5].”
Wireless Network Design for Control Systems: A Survey (2017, background): “One of the major issues for large scale Smart Grid [25], Smart Transportation [26], and Industry 4.0 [12] is to allow long-range communications of sensors and actuators using very low-power levels.”
Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions (2018, background): “, some cover only one aspect such as social [80,81,86–89] or economic [46,90,91], or technological, while others cover multiple aspects such as socio-economic [85,92], or socio-technical [93], or techno-economic [28], or all three aspects [74,83].”
A survey of distributed optimization (2019, background): “However, power and energy systems require time-critical and fast response when new energy needs are demanded ( Yu & Xue, 2016 ).”
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach (2022, background): “Due to the open communication environment and increasingly complex information-physical coupling of smart grid, cyber security has become an important factor affecting the secure operation of smart grids [3].”
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (2020, methodology): “The dynamic integration between the real and virtual worlds opened a huge door of possible technologies, algorithms, and solutions to be developed and implemented in the smart grid such as distributed data processing and artiﬁcial intelligence [3].”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “A cyber-physical system perspective to the smart grid technologies can be found in [63].”