Title :
Optimal allocation and sizing of Distributed Generation in distribution system via Firefly Algorithm
Author :
Sulaiman, Mohd H. ; Mustafa, M.W. ; Azmi, Azralmukmin ; Aliman, O. ; Abdul Rahim, S.R.
Author_Institution :
Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia
Abstract :
This paper presents an application of Firefly Algorithm (FA) in determining the optimal location and size of Distributed Generation (DG) in distribution power networks. FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly´s flash is to act as a signal system to attract other fireflies. In this paper, IEEE 69-bus distribution test system is used to show the effectiveness of the FA. Comparison with other method is also given.
Keywords :
IEEE standards; distribution networks; genetic algorithms; IEEE 69-bus distribution test system; distributed generation; distribution power networks; firefly algorithm; firefly flashing behavior; genetic algorithm; metaheuristic algorithm; signal system; Distributed power generation; Fires; Genetic algorithms; Load flow; Optimization; Power engineering; Resource management; distributed generation; firefly algorithm; genetic algorithm;
Conference_Titel :
Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012 Ieee International
Conference_Location :
Melaka
Print_ISBN :
978-1-4673-0660-7
DOI :
10.1109/PEOCO.2012.6230840
