DocumentCode :
648358
Title :
A scenario driven reliability assessment approach for microgrids
Author :
Lovelady, David ; Bo Yang ; Natti, Satish ; Mueller, Holger ; Liang Tao
Author_Institution :
Smart Grid Div., Siemens PTI, Minnetonka, MN, USA
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Reliability of the distribution power system is often examined through probability analysis on an assumed loading scenario, primarily peak load. With varying system characteristics, such as loading level, topology, generation dispatching etc., it is difficult to evaluate real time reliability performance, due to a lack of convenient tools. This paper presents a scenario based reliability assessment approach for microgrids along with a demonstration on a simplified distribution power system model of the Miramar Military Base, using a microgrid simulation tool (hereby referred to as the `MG tool´ [1]). This approach can be used to calculate impacts of microgrid operating strategies on overall reliability. The MG tool also uses power flow results to obtain actual cost of operation.
Keywords :
costing; distributed power generation; load flow; power distribution reliability; power generation dispatch; power generation reliability; MG tool; Miramar military base; distribution power system model; distribution power system reliability; generation dispatching; loading level; loading scenario; microgrid simulation tool; microgrids; operation cost; power flow; primarily peak load; probability analysis; real time reliability performance; scenario based reliability assessment approach; scenario driven reliability assessment approach; varying system characteristics; Density estimation robust algorithm; Energy storage; Load flow; Load modeling; Microgrids; Power system reliability; Reliability; Distributed Generation; Economic dispatch; Energy Storage; Island; Microgrid; Reliability; Simulation Tool;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672937
Filename :
6672937
Link To Document :
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