Title :
Dispersed generation planning using a new evolutionary approach
Author :
Abdelaziz, Ahmed R. ; Ali, Walid M.
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
Abstract :
This work presents an approach to dispersed generation planning based on genetic algorithm in a subtransmission system. Dispersed generations could be photovoltaic cells, wind generation, battery storage, fuel cell, etc. A method to optimally locate such generation in a meshed network for maximizing the potential benefits is outlined using genetic algorithm and its improvement in this paper. The benefit expressed as a performance index is minimization of losses. The proposed method was tested for several sample power systems with 6, 14 and 30 bus types. Also, to show its effectiveness, the results of suggested algorithm are compared with those of classical genetic algorithm.
Keywords :
distributed power generation; genetic algorithms; power generation planning; transmission networks; dispersed generation planning; evolutionary approach; genetic algorithm; loss minimization; subtransmission system; Batteries; Distributed power generation; Fuel cells; Fuel storage; Genetic algorithms; Performance analysis; Photovoltaic cells; Power generation; Power system planning; System testing;
Conference_Titel :
Power Tech Conference Proceedings, 2003 IEEE Bologna
Print_ISBN :
0-7803-7967-5
DOI :
10.1109/PTC.2003.1304336