DocumentCode :
1535096
Title :
Improving Reliability of Islanded Distribution Systems With Distributed Renewable Energy Resources
Author :
Brown, H.E. ; Suryanarayanan, S. ; Natarajan, S.A. ; Rajopadhye, S.
Author_Institution :
Burns & McDonnell, Houston, TX, USA
Volume :
3
Issue :
4
fYear :
2012
Firstpage :
2028
Lastpage :
2038
Abstract :
An optimization problem called “the feeder addition problem” is defined to determine potential locations for adding interties between feeders in a legacy radial distribution system to improve the reliability in the islanded mode of operation - a desired feature under the Smart Grid Initiative. Numerical bounds are established on the growth of the feeder addition problem. The feeder addition problem in a popular test system is handled using two different optimization methods to balance cost and reliability for utility applications. To approximate the power output of the distributed generation sources considered, an empirical equation incorporating the capacity factors of renewable energy-based distributed generation sources and results of an industry survey is used. Both optimization methods are shown to improve the system reliability for cases where the distributed generation output exceeded feeder demand.
Keywords :
approximation theory; distributed power generation; optimisation; power distribution economics; power distribution reliability; power utilisation; renewable energy sources; smart power grids; cost balancing; distributed renewable energy resource; feeder addition problem; industry survey; islanded distribution generation system; legacy radial distribution system; optimization problem; popular test system; power output approximation; reliability system; smart grid initiative; utility application; Genetic algorithms; Network topology; Optimization; Power system planning; Power system reliability; Reliability; Renewable energy resources; Distributed generation; distribution system planning; genetic algorithm; heuristic optimization; multiobjective optimization; reliability; renewable energy sources; smart grid;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2012.2200703
Filename :
6213585
Link To Document :
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