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Title: Modeling Load Dynamics to Support Resiliency-based Operations in Low-Inertia Microgrids

Journal Article · · IEEE Transactions on Smart Grid
 [1];  [1];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Seattle,, WA (United States)
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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.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Electricity (OE)
Contributing Organization:
Load modeling; Microgrids, Mathematical model; Power system dynamics; Induction motors; Transient analysis; Computational modeling
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1438241
Alternate ID(s):
OSTI ID: 1429919
Report Number(s):
PNNL-SA-127268
Journal Information:
IEEE Transactions on Smart Grid, Vol. 10, Issue 3; ISSN 1949-3053
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

Figures / Tables (16)

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
42 ENGINEERING
dynamics
electromechanical
GridLAB-D
induction motor
load model
microgrid
low inertia