Title :
Firefly algorithm based energy loss minimization approach for optimal sizing & placement of distributed generation
Author :
Nadhir, Ketfi ; Chabane, Djabali ; Tarek, Bouktir
Abstract :
This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic 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. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33-bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.
Keywords :
distributed power generation; losses; minimisation; IEEE 33- bus distribution test system; firefly algorithm based energy loss minimization approach; firefly flash; flashing behavior; metaheuristic algorithm; optimal distributed generation placement; optimal distributed generation sizing; optimization; radial distribution system; voltage profile; Algorithm design and analysis; Distributed power generation; Educational institutions; Equations; Load flow; Optimization; Active power; Distributed Generation Firefly Algorithm; Power losses;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5812-5
DOI :
10.1109/ICMSAO.2013.6552580