Abstract
Electricity, which is the greatest invention of nineteenth century, is distributed to the geographically distributed loads through the help of the power grid, which acts as a backbone to the system. Power grid is a complex infrastructure that is intended to transmit the electricity from the generation stations to the consumers by encompassing several distribution stations. The conventional power grid was not designed to cope up with a dynamically changing environment. Thus, for uninterrupted and reliable transmission, generation, and distribution of the electricity, the conventional power grid is being upgraded to the smart-grid (SG). The success key to the SG is the integration of power network infrastructures providing capability of seamless interaction among its components. The cyber-physical system (CPS) is the correct attempt for integration and interaction of the various components of the SG. In the smart grid paradigm, the communication networks act as the cyber system, while the processing, sensing and controlling devices act as the physical system. Thus, the smart grid cyber-physical system (SGCPS) consists of different intelligent devices, which exchange the data over the communication networks for effective operation. Due to high level of integration among the various entities, SGCPS is more complex and thus, it is also susceptible to different cyber as well as physical vulnerabilities. Moreover, most of the smart grid applications have stringent requirements such as low latency and high reliability. Hence, the communication networks of the SGCPS are subjected to many challenges and risks. This chapter identifies different risks in designing the communication networks for various applications in the smart grid cyber-physical system and proposes the methodologies for risk assessment and risk mitigation. A systematic approach is presented to identify the risk factors pertaining to the design of communication networks for various SGCPS applications such as synchrophasor application, advanced metering application, and electric vehicular application. Further, risk assessment strategies for these SGCPS applications are formulated with detailed discussion. To elucidate the work, a case study in each of these applications of SGCPS have been presented in this chapter. Nevertheless, the practical power grid of Bihar, India has been considered as a case study for synchrophasor applications of the SGCPS.
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Jha, A.V., Ghazali, A.N., Appasani, B., Mohanta, D.K. (2021). Risk Identification and Risk Assessment of Communication Networks in Smart Grid Cyber-Physical Systems. In: Awad, A.I., Furnell, S., Paprzycki, M., Sharma, S.K. (eds) Security in Cyber-Physical Systems. Studies in Systems, Decision and Control, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-67361-1_8
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