DocumentCode :
138819
Title :
DG sizing and DNR based on REPSO for power losses reduction
Author :
Sulaima, M.F. ; Napis, N.F. ; Nor, M.K.M. ; Dahalan, W.M. ; Mokhlis, H.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
fYear :
2014
fDate :
24-25 March 2014
Firstpage :
99
Lastpage :
104
Abstract :
The detrimental of losses in network can be solved by using Distribution Network Reconfiguration (DNR) and sizing the Distribution Generation (DG) concurrently. In determining the optimal sizing of DG and identifying the switching operation plan for network reconfiguration, an optimization method which is called as Rank Evolutionary Particle Swarm (REPSO) will be introduced. The main objectives of this paper are to minimize the total power losses in a radial distribution network and to find the most accurate and acceptable size of DG. A comprehensive performance analysis will be carried out on IEEE-33 bus system to show the effectiveness of the REPSO over conventional PSO and hybridization EPSO method. The reliability of proposed method will hope to help the power system engineer in reducing the distribution feeder losses and improve system security in the future.
Keywords :
distributed power generation; distribution networks; particle swarm optimisation; power system security; DG sizing; DNR; IEEE-33 bus system; REPSO; distribution feeder losses; distribution generation; distribution network reconfiguration; power losses reduction; radial distribution network; rank evolutionary particle swarm; switching operation plan; system security; Conferences; Optimization; Particle swarm optimization; Power engineering; Power systems; Sociology; Statistics; Distribution Generation; Distribution Network Reconfiguration; Rank Evolutionary Particle Swarm Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-2421-9
Type :
conf
DOI :
10.1109/PEOCO.2014.6814407
Filename :
6814407
Link To Document :
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