DocumentCode
1760343
Title
New Metrics for Assessing the Reliability and Economics of Microgrids in Distribution System
Author
Shouxiang Wang ; Zhixin Li ; Lei Wu ; Shahidehpour, Mohammad ; Zuyi Li
Author_Institution
Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
Volume
28
Issue
3
fYear
2013
fDate
Aug. 2013
Firstpage
2852
Lastpage
2861
Abstract
This paper proposes a series of new metrics for the reliability and economic assessment of microgrids in distribution system. These metrics include reliability parameters for a microgrid in the islanded mode, indices indicating distributed generation (DG) and load characteristics in the microgrid, microgrid economic indices, and customer based microgrid reliability indices. A two-step Monte Carlo simulation (MCS) method is proposed to assess the reliability and economics of a microgrid with intermittent DGs as well as the reliability of distribution system with microgrids. An application in IEEE-RBTS shows the effectiveness of the reliability and economic assessment technique with the proposed metrics, which can provide scientific and comparative information for the design and operation of microgrids.
Keywords
Monte Carlo methods; distributed power generation; power distribution economics; power distribution reliability; power generation reliability; IEEE-RBTS; customer-based microgrid reliability indices; distributed generation; distribution system reliability; intermittent DG; islanded mode; load characteristics; microgrid design; microgrid economic assessment; microgrid economic indices; microgrid operation; microgrid reliability assessment; reliability parameter; two-step MCS method; two-step Monte Carlo simulation method; Economics; Load modeling; Measurement; Microgrids; Power system reliability; Reliability; Renewable energy resources; Distributed generation; microgrid; reliability assessment;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2013.2249539
Filename
6480908
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