DocumentCode
2907716
Title
Differential evolutionary algorithms in optimal distributed generation location
Author
Bulac, C. ; Ionescu, F. ; Roscia, M.
Author_Institution
Dept. of Power Syst., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
1
Lastpage
5
Abstract
This paper present an application of Differential Evolutionary Algorithm (DEA) with the purpose of finding the optimal location of a renewable source in a electric power network. In addition, the paper considers also the problem of optimal reactive power dispatch (ORPD), minimizing the active power loss and improving the voltage level. The DEA is used as an optimization technique being highly efficient in constrained parameter optimization problems. The applicability of the method was evaluated on the IEEE 30 bus system. It is important where to place a renewable source, because study shows that if they are connected at non-optimal locations, the system losses may increase.
Keywords
distributed power generation; evolutionary computation; power generation dispatch; reactive power; DEA; IEEE 30 bus system; ORPD problem; active power loss; constrained parameter optimization problems; differential evolutionary algorithms; electric power network; optimal distributed generation location; optimal reactive power dispatch problem; renewable source; system losses; Distributed power generation; Evolutionary computation; Load flow; Optimization; Programming; Reactive power; Differential Evolutionary Algorithm; Minimizing the Active Power Loss; Optimal Reactive Power Dispatch; Renewable source;
fLanguage
English
Publisher
ieee
Conference_Titel
Harmonics and Quality of Power (ICHQP), 2010 14th International Conference on
Conference_Location
Bergamo
Print_ISBN
978-1-4244-7244-4
Electronic_ISBN
978-1-4244-7245-1
Type
conf
DOI
10.1109/ICHQP.2010.5625451
Filename
5625451
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