A Hybrid Cloud for Data Analytics in Electrical Substation Condition Monitoring Systems

Slater, J.; Nesbitt, A.; Morison, Gordon; Boreham, Philip

doi:10.1109/cse/euc.2019.00061

Cited by 1 publication

(1 citation statement)

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“…The first part is achieved thanks to powerful and efficient embedded devices, part of the data is locally processed, reducing bandwidth usage and latency specially in isolated or limited connection scenarios. However, the rest of data analysis that gathers local data is usually offloaded to highperformance machines [13].…”

Section: Introductionmentioning

confidence: 99%

A Cyber-Physical System for Integrated Remote Control and Protection of Smart grid Critical Infrastructures

Isern

Jimenez-Perera

Medina-Valdés

et al. 2023

J Sign Process Syst

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This work proposes a Cyber-Physical System (CPS) for protecting smart electric grid critical infrastructures using video surveillance while remotely monitoring them. Due to the critical nature of the smart grid, it is necessary to guarantee an adequate level of safety, security and reliability. Thus, this CPS is back-boned by a Time-Sensitive Network solution providing concurrent support for smart video surveillance and smart grid control over a single communication infrastructure. To this end, TSN delivers high-bandwidth communication for video surveillance and deterministic quality of service, latency and bandwidth guarantees, required by the time-critical revision smart grid control. On the one hand, the CPS utilizes High-availability Seamless Redundancy in the control subsystem via Remote Terminal Units (RTUs) guaranteeing seamless failover against failures in smart grid. On the other hand, the smart video surveillance subsystem applies machine learning to monitor secured perimeters and detect people around the smart grid critical infrastructure. Moreover, it is also able to directly interoperate with RTUs to send alarms in case of for example, an intrusion. The work evaluates the accuracy and performance of the detection using common metrics in surveillance field. An integrated monitoring dashboard has also been developed in which all CPS information is available in real time.

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Section: Introductionmentioning

confidence: 99%