Title :
Distributed generation planning using genetic algorithms
Author :
Silvestri, A. ; Berizzi, A. ; Buonanno, S.
Author_Institution :
Dipartimento di Elettrotecnica, Politecnico di Milano, Italy
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;
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
DOI :
10.1109/PTC.1999.826689
