Modeling Load Dynamics to Support Resiliency-Based Operations in Low-Inertia Microgrids
Microgrids have repeatedly demonstrated the ability to provide uninterrupted service to critical end-use loads during normal outages, severe weather events, and natural disasters. While their ability to provide critical services is well documented, microgrids present a more dynamic operational envir...
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Veröffentlicht in: | IEEE transactions on smart grid 2019-05, Vol.10 (3), p.2726-2737 |
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creator | Tuffner, Francis K. Schneider, Kevin P. Hansen, Jacob Elizondo, Marcelo A. |
description | Microgrids have repeatedly demonstrated the ability to provide uninterrupted service to critical end-use loads during normal outages, severe weather events, and natural disasters. While their ability to provide critical services is well documented, microgrids present a more dynamic operational environment than grid-connected distribution systems. The electrodynamics of a microgrid are commonly driven by the high inertia of rotating generators, which are common in many microgrids. In such high-inertia systems, the impact of end-use load electromechanical dynamics are often not examined. However, with the increased penetration of inverter-based generation with little or no inertia, it is necessary to consider the impact that the dynamics of the end-use loads have on the operations of microgrids, particularly for a resiliency-based operation. These operations include, but are not limited to, switching operations, loss of generating units, and the starting of induction motors. This paper examines the importance of including multi-state electromechanical dynamic models of the end-use load when evaluating the operations of low inertia microgrids, and shows that by properly representing their behavior, it is possible to cost effectively size equipment while supporting resilient operations of critical end-use loads. |
doi_str_mv | 10.1109/TSG.2018.2809452 |
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(PNNL), Richland, WA (United States)</creatorcontrib><description>Microgrids have repeatedly demonstrated the ability to provide uninterrupted service to critical end-use loads during normal outages, severe weather events, and natural disasters. While their ability to provide critical services is well documented, microgrids present a more dynamic operational environment than grid-connected distribution systems. The electrodynamics of a microgrid are commonly driven by the high inertia of rotating generators, which are common in many microgrids. In such high-inertia systems, the impact of end-use load electromechanical dynamics are often not examined. However, with the increased penetration of inverter-based generation with little or no inertia, it is necessary to consider the impact that the dynamics of the end-use loads have on the operations of microgrids, particularly for a resiliency-based operation. These operations include, but are not limited to, switching operations, loss of generating units, and the starting of induction motors. This paper examines the importance of including multi-state electromechanical dynamic models of the end-use load when evaluating the operations of low inertia microgrids, and shows that by properly representing their behavior, it is possible to cost effectively size equipment while supporting resilient operations of critical end-use loads.</description><identifier>ISSN: 1949-3053</identifier><identifier>EISSN: 1949-3061</identifier><identifier>DOI: 10.1109/TSG.2018.2809452</identifier><identifier>CODEN: ITSGBQ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Computational modeling ; Distributed generation ; Dynamic models ; Dynamics ; Electric power distribution ; Electric power grids ; Electrical loads ; Electrodynamics ; electromechanical ; ENGINEERING ; Equipment costs ; GridLAB-D ; induction motor ; Induction motors ; Inertia ; Load ; load model ; Load modeling ; low inertia ; Mathematical model ; microgrid ; Microgrids ; Natural disasters ; Power system dynamics ; POWER TRANSMISSION AND DISTRIBUTION ; Resilience ; Rotating generators ; Transient analysis</subject><ispartof>IEEE transactions on smart grid, 2019-05, Vol.10 (3), p.2726-2737</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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(PNNL), Richland, WA (United States)</creatorcontrib><title>Modeling Load Dynamics to Support Resiliency-Based Operations in Low-Inertia Microgrids</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>Microgrids have repeatedly demonstrated the ability to provide uninterrupted service to critical end-use loads during normal outages, severe weather events, and natural disasters. While their ability to provide critical services is well documented, microgrids present a more dynamic operational environment than grid-connected distribution systems. The electrodynamics of a microgrid are commonly driven by the high inertia of rotating generators, which are common in many microgrids. In such high-inertia systems, the impact of end-use load electromechanical dynamics are often not examined. However, with the increased penetration of inverter-based generation with little or no inertia, it is necessary to consider the impact that the dynamics of the end-use loads have on the operations of microgrids, particularly for a resiliency-based operation. These operations include, but are not limited to, switching operations, loss of generating units, and the starting of induction motors. 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In such high-inertia systems, the impact of end-use load electromechanical dynamics are often not examined. However, with the increased penetration of inverter-based generation with little or no inertia, it is necessary to consider the impact that the dynamics of the end-use loads have on the operations of microgrids, particularly for a resiliency-based operation. These operations include, but are not limited to, switching operations, loss of generating units, and the starting of induction motors. 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subjects | Computational modeling Distributed generation Dynamic models Dynamics Electric power distribution Electric power grids Electrical loads Electrodynamics electromechanical ENGINEERING Equipment costs GridLAB-D induction motor Induction motors Inertia Load load model Load modeling low inertia Mathematical model microgrid Microgrids Natural disasters Power system dynamics POWER TRANSMISSION AND DISTRIBUTION Resilience Rotating generators Transient analysis |
title | Modeling Load Dynamics to Support Resiliency-Based Operations in Low-Inertia Microgrids |
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