DocumentCode
1685007
Title
Distributed generation planning using genetic algorithms
Author
Silvestri, A. ; Berizzi, A. ; Buonanno, S.
Author_Institution
Dipartimento di Elettrotecnica, Politecnico di Milano, Italy
fYear
1999
Firstpage
257
Abstract
In this paper, a new technique, based on genetic algorithms, for the optimal sizing and siting of distributed generation resources in MV distribution networks is presented. Tests on two networks of 43 and 93 buses are also provided to show the efficiency of the proposed technique.
Keywords
genetic algorithms; power distribution planning; power generation planning; MV distribution networks; computational efficiency; distributed generation planning; distributed generation resources; genetic algorithms; optimal siting; optimal sizing; Cogeneration; Cost function; Distributed control; Distributed power generation; Fuels; Genetic algorithms; Investments; Power generation; Testing; Thermal pollution;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location
Budapest, Hungary
Print_ISBN
0-7803-5836-8
Type
conf
DOI
10.1109/PTC.1999.826689
Filename
826689
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