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
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;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2013.2294055