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