DocumentCode
12005
Title
Optimal Distribution Systems Operation Using Smart Matching Scheme (SMS) for Smart Grid Applications
Author
Mostafa, Haytham A. ; El Shatshat, Ramadan ; Salama, Magdy M. A.
Author_Institution
ECE, Univ. of Waterloo, Waterloo, ON, Canada
Volume
5
Issue
4
fYear
2014
fDate
Jul-14
Firstpage
1938
Lastpage
1948
Abstract
In the context of the implementation of smart grid, electric distribution systems operation should be managed and optimized in a way that saves energy, reduce CO2 emissions, allow for a seamless integration of renewable energy sources and improves the power quality, while still meeting increasing demands with minimum operating costs. Achieving these objectives requires efficient smart techniques that address both existing and future challenges with respect to the implementation of smart grid. This paper proposes a smart matching scheme (SMS) that will select the most efficient and economical distribution system (DS) controlled resources for a reliable and improved DS operation. The selected resources will then be optimally controlled to fulfill the operator´s needs while adhering to the operational constraints. Performance evaluation of different optimization problems with and without the use of the proposed SMS were conducted and applied on the IEEE 123 bus DS. The IEEE 123 test system is modified to include dispatchable and renewable distributed generations to match the performance of a typical electric distributions system.
Keywords
air pollution control; distributed power generation; power distribution economics; renewable energy sources; smart power grids; DS controlled resources; IEEE 123 bus; SMS; dispatchable distributed generations; economical distribution system; emission reduction; operational constraints; optimal distribution systems operation; optimization problems; power quality; renewable distributed generations; renewable energy sources; smart grid applications; smart matching scheme; Capacitors; Control systems; Decision making; Genetic algorithms; Linear programming; Optimization; Smart grids; Distributed generation; distribution system operation; energy management; optimization; smart grid;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2013.2294055
Filename
6750100
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