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
Link To Document :
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