Barry Rawn
Associate Professor | Carnegie Mellon University
Pittsburgh, PA, UNITED STATES
Barry Rawn studies stressed centralised electricity infrastructure and its relation to the deployment of off-grid energy systems.
Biography
Barry Rawn studies the development of stressed centralised electricity infrastructure and its relation to the rapid deployment of off-grid energy systems. He pursues this interest through projects at both the transmission and distribution level in Nigeria, while contributing to the IEEE Working Group on Sustainable Energy for Developing Communities. As associate teaching professor at Carnegie Mellon University Africa, he teaches power and energy related courses while facilitating local industrial collaboration and international research activities.
Areas of Expertise (5)
Electric Power Systems
Electric Mobility
Energy Storage
Smart Grid
Renewable Energy
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Industry Expertise (1)
Energy
Education (3)
University of Toronto: Ph.D., Electrical Engineering
University of Toronto: M.S., Electrical Engineering
University of Toronto: B.S., Electrical Engineering
Links (4)
Articles (3)
A data driven approach to robust event detection in smart grids based on random matrix theory and kalman filtering
Energies2021 Increasing levels of complexity, due to growing volumes of renewable generation with an associated influx of power electronics, are placing increased demands on the reliable operation of modern power systems. Consequently, phasor measurement units (PMUs) are being rapidly deployed in order to further enhance situational awareness for power system operators. This paper presents a novel data-driven event detection approach based on random matrix theory (RMT) and Kalman filtering. A dynamic Kalman filtering technique is proposed to condition PMU data.
Investigations into the transformer inrush current problem
Nigerian Journal of Technology2018 A transformer being energised may draw a large transient current from the grid supply, resulting in a temporary voltage dip at the point of connection (POC) where customers are connected. The voltage dip is dependent upon the magnitude of the transformer inrush current. The peak current of the first cycle, under worst conditions, is considered important. This paper presents the results achieved following the energisation of a 10MVA 132/11kV transformer as well as the practical mitigation measures to minimise the impact of the transformer energisation.
Multi-objective coordinated droop-based voltage regulation in distribution grids with PV systems
Renewable Energy2014 High penetrations of photovoltaic (PV) systems in distribution grids have caused new challenges such as reverse power flow and voltage rise. Reactive power contribution by PV systems has been proposed by grid codes and literature as one of the remedies for voltage profile violation. Recent German Grid Codes (GGC), for instance, introduce a standard active power dependent reactive power characteristic, Q(P), for inverter-coupled distributed generators. Nevertheless, the GGC recommends a voltage dependent reactive power characteristic Q(V) for the near future, recognizing that the Q(P) characteristic cannot explicitly address voltage limits.
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