DocumentCode :
2366785
Title :
Optimization of DG placement in distribution system using artificial bee colony algorithm based on generation level reliability indices
Author :
Ansari, R. ; Monsef, H.
Author_Institution :
Sch. of ECE, Univ. of Tehran, Tehran, Iran
fYear :
2012
fDate :
18-25 May 2012
Firstpage :
508
Lastpage :
512
Abstract :
Optimum placement of DG in distribution system, is highly dependent on the goal of using it. One of main purposes is to increase the reliability of power system. In order to evaluate reliability of system, some quantized indices are used in different levels of power system. Considering recent progresses made in technology and taking DGs into account as reliable power sources, authors of this paper propose to evaluate the reliability of distribution system with power adequacy indices used in generation level of power system. To do so, a composite reliability index is introduced. Then in order to find optimum placement of DG units in Distribution system, artificial bee colony algorithm is used. Simulations are done in three different scenarios and repeated with an increase of 25% in maximum capacity of DGs. To evaluate obtained results, the same process is done with genetic algorithm. Simulation results show the validity of the proposed method.
Keywords :
distributed power generation; genetic algorithms; power distribution reliability; DG placement optimization; DG units; artificial bee colony algorithm; composite reliability index; distribution generation; distribution system reliability; generation level reliability indices; genetic algorithm; power adequacy indices; power sources; power system reliability; Genetic algorithms; Indexes; Optimization; Power system reliability; Reliability; Resource management; Distributed generation (DG); artificial bee colony (ABC); placement optimization; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
Type :
conf
DOI :
10.1109/EEEIC.2012.6221430
Filename :
6221430
Link To Document :
بازگشت