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
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