Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids

The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart g...

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Bibliographic Details
Published in:IEEE transactions on power systems 2018-03, Vol.33 (2), p.1507-1520
Main Authors: Chen, Bo, Chen, Chen, Wang, Jianhui, Butler-Purry, Karen L.
Format: Article
Language:English
Subjects:
Distributed generator
distribution system
Load flow
Load modeling
Mathematical model
microgrid
Microgrids
mixed-integer linear programming (MILP)
restoration sequence
self-healing
service restoration
Switches
Voltage control
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Summary:The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart grids. In this paper, a sequential service restoration (SSR) framework is proposed to generate restoration solutions for distribution systems and microgrids in the event of large-scale power outages. The restoration solution contains a sequence of control actions that properly coordinate switches, distributed generators, and switchable loads to form multiple isolated microgrids. The SSR can be applied for three-phase unbalanced distribution systems and microgrids and can adapt to various operation conditions. Mathematical models are introduced for three-phase unbalanced power flow, voltage regulators, transformers, and loads. The SSR problem is formulated as a mixed-integer linear programming model, and its effectiveness is evaluated via the modified IEEE 123 node test feeder.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2017.2720122