Sensor Technologies for Transmission and Distribution Systems: A Review of the Latest Developments

Akhyurna Swain, Elmouatamid Abdellatif, Ahmed Mousa and Philip W. T. Pong ()
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Akhyurna Swain: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
Elmouatamid Abdellatif: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
Ahmed Mousa: Utility of the Future, Public Service Electric and Gas Company (PSE&G), Newark, NJ 07102, USA
Philip W. T. Pong: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA

Energies, 2022, vol. 15, issue 19, 1-37

Abstract: The transmission and distribution systems are essential in facilitating power flow from the source multiple loads over large distances with high magnitudes of voltages and currents. Hence, the monitoring and control of various components of these structures are crucial. Traditionally, this was implemented by sensing only the grid current and grid voltage parameters through coils, clamps, or instrument transformers. However, these have bulky structures that restrict them to the substation and have installation and maintenance issues due to their direct contact with high voltage conductors. Currently, the power grid is undergoing various developments e.g., penetration of renewable energy sources, remote control, and automation, bidirectional power flow, etc. These developments call for compact and energy-efficient sensors to sense multiple grid parameters such as the magnetic field data, temperature, humidity, acoustics, etc., to enable real time, wide area monitoring and the predictive maintenance of the power grid. The goal of this paper is to summarize the advancements in sensing technologies on transmission and distribution systems over a decade and to explain their role in the forthcoming expansion of the power grids. This paper aims to outline the current state-of-affairs of sensor technology as well as to fill research gaps by exploring their limitations.

Keywords: big data; condition-based grid maintenance; pervasive sensing; predictive grid maintenance; smart sensors; wide area monitoring system; wireless sensing network (WSN) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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