DocumentCode :
4289
Title :
Evaluating Future Power Distribution System Reliability Including Distributed Generation
Author :
Al-Muhaini, Mohammad ; Heydt, Gerald T.
Author_Institution :
Dept. of Electr., Arizona State Univ., Tempe, AZ, USA
Volume :
28
Issue :
4
fYear :
2013
fDate :
Oct. 2013
Firstpage :
2264
Lastpage :
2272
Abstract :
This paper assesses the impact of conventional and renewable distributed generation (DG) on the reliability of future distribution systems, even when the connection may not be simply radial. The variability of the power output of renewable DGs, such as wind and solar is included. The stochastic nature of the renewable resources and their influence on the reliability of the system are modeled and studied by computing the adequacy transition rate. An integrated Markov model that incorporates the DG adequacy transition rate, DG mechanical failure, and starting and switching probability is proposed and utilized to give accurate results for the DG reliability assessment. The main focus in this paper is conventional generation, solar, and wind DG units. The technique used appears to be applicable to any renewable energy source.
Keywords :
Markov processes; distributed power generation; power distribution reliability; renewable energy sources; DG adequacy transition rate; DG mechanical failure; DG reliability assessment; future power distribution system reliability; integrated Markov model; renewable distributed generation; renewable resources; starting probability; switching probability; Capacity planning; Distributed power generation; Load modeling; Markov processes; Power system reliability; Probability; Distribution engineering; Markov models; distributed generation (DG); power system reliability;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2013.2253808
Filename :
6595149
Link To Document :
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