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Your search keyword '"Grainger, Brandon M."' showing total 47 results
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47 results on '"Grainger, Brandon M."'

36. Visualizing Power-Quality Phenomena in a Hands-On Electric Power Systems Laboratory.

Author

Cook, Thomas Vernon, Kerestes, Robert J., and Grainger, Brandon M.

Abstract

A topic in electric power engineering that students commonly struggle with is power quality. Traditional power quality issues in electric power system architectures such as harmonics, transients, and unbalanced load phenomena are now more noticeable with the introduction of nonlinear components, such as power electronic converters. These equipment interaction concepts are sparsely covered in classes, and are rarely seen in a laboratory setting. Students, especially those graduating with only an undergraduate degree, generally experience these issues when they enter the workforce, having to complete on the job training in order to become comfortable with power quality matters. A new power quality course was created at the University of Pittsburgh, in the Spring 2018 semester. This course uses a novel approach to teaching students power quality concepts by using an electric power laboratory designed specifically for undergraduate education. Students work with real electric motors, transformers, variable frequency drives, and DC power electronics to understand the impacts of these loads on a 208Vac, 75kVA rated system. A custom, 5kW rated work bench featuring compact fluorescent loads, as well as traditional singlephase or three-phase linear resistive, capacitive, and inductive loads is also used to highlight the issues of having an unbalanced power system. The student experience is based upon measurement and data acquisition to develop visual frameworks coupled with traditional whiteboard discussions. This paper contains a description of the course, its learning outcomes, lecture plans, assignments, laboratory experiments, and exam content. Student assessments, evaluations, and opinions are also included to show the benefits of how the class improved student understanding of power quality. A rubric was designed and employed which provides prognostics and analytics about the perceived value of the course. Lastly, a conclusion of the course from the instructor's point of view, including lessons learned and future improvements is provided. [ABSTRACT FROM AUTHOR]

Published
2019

44. A microgrid co-simulation framework

Author

Kounev, Velin, primary, Tipper, David, additional, Levesque, Martin, additional, Grainger, Brandon M., additional, Mcdermott, Thomas, additional, and Reed, Gregory F., additional

Published
2015
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47. Model-Based Fault Detection of Inverter-Based Microgrids and a Mathematical Framework to Analyze and Avoid Nuisance Tripping and Blinding Scenarios.

Author

Al Hassan, Hashim A., Reiman, Andrew, Reed, Gregory F., Mao, Zhi-Hong, and Grainger, Brandon M.

Subjects
ELECTRIC inverters, MICROGRIDS, MATHEMATICAL models, ELECTRIC faults, ELECTRIC circuits
Abstract

Traditional protection methods such as over-current or under-voltage methods are unreliable in inverter-based microgrid applications. This is primarily due to low fault current levels because of power electronic interfaces to the distributed energy resources (DER), and IEEE1547 low-voltage-ride-through (LVRT) requirements for renewables in microgrids. However, when faults occur in a microgrid feeder, system changes occur which manipulate the internal circuit structure altering the system dynamic relationships. This observation establishes the basis for a proposed, novel, model-based, communication-free fault detection technique for inverter-based microgrids. The method can detect faults regardless of the fault current level and the microgrid mode of operation. The approach utilizes fewer measurements to avoid the use of a communication system. Protecting the microgrid without communication channels could lead to blinding (circuit breakers not tripping for faults) or nuisance tripping (tripping incorrectly). However, these events can be avoided with proper system design, specifically with appropriately sized system impedance. Thus, a major contribution of this article is the development of a mathematical framework to analyze and avoid blinding and nuisance tripping scenarios by quantifying the bounds of the proposed fault detection technique. As part of this analysis, the impedance based constraints for microgrid system feeders are included. The performance of the proposed technique is demonstrated in the MATLAB/SIMULINK (MathWorks, Natick, MA, USA) simulation environment on a representative microgrid architecture showing that the proposed technique can detect faults for a wide range of load impedances and fault impedances. [ABSTRACT FROM AUTHOR]

Published
2018
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