DocumentCode :
2046109
Title :
System Restoration Navigator: A decision support tool for System Restoration
Author :
Shanshan Liu ; Podmore, R. ; Yunhe Hou
Author_Institution :
Electr. Power Res. Inst., Palo Alto, CA, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
5
Abstract :
Power system restoration is well recognized as an important task to reduce the duration of a disturbance that occures in power systems. The complex tasks of emergency recovery require advanced decision support tools to enhance the resilience and, utimately, self-healing capabilities for a smart grid. A piece of software entitled “System Restoration Navigator” (SRN) has been developed based on the Generic Restoration Milestones (GRMs) concept, with the support of EPRI during the last two years. This paper addresses the development and functionality of SRN. Firstly, the basic philosophy of GRMs is introduced. Secondly, the functionality of SRN and integration of SRN with EPRI Operator Training System (OTS) are demonstrated. Thirdly, the Power and Light (PALCO) system is used to illustrate the general restoration plan and concrete restoration actions under a blackout scenario. It is believed that the development of SRN and its integration with OTS is a major step towards the on-line decision-making for system restoration.
Keywords :
decision making; decision support systems; power engineering computing; power system faults; power system restoration; smart power grids; EPRI operator training system; GRM concept; OTS; PALCO system; SRN software; decision support tool; emergency recovery; general restoration plan; generic restoration milestone concept; online decision making; power and light system; power system disturbance; power system restoration; smart grid; system restoration navigator; Educational institutions; Generators; Load flow; Mathematical model; Power grids; Training; System restoration; generic restoration milestone; operator training system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6344826
Filename :
6344826
Link To Document :
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