DocumentCode
679817
Title
Active and reactive power compensation in distribution system based on biogeography based optimization technique
Author
Tom, Tissa ; Scaria, Rinku
Author_Institution
Dept. of Electr. & Electron. Eng., Fed. Inst. Of Sci. & Technol., Angamaly, India
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
216
Lastpage
220
Abstract
Distributed Generation (DG) has got in recent years a well known term for the reduction of system losses in power distribution systems. Distributed generation is an electric power generation source connected directly to the distribution network or on the customer side of the meter. The application of Biogeography Based Optimization (BBO) technique has been proposed for active and reactive power compensation of distribution systems. The active and reactive power compensation can be obtained by the optimal placement of DG and Capacitor. Effectiveness of the proposed algorithm has been verified on a 13 bus system. The locations of DG and capacitor play an important role in maintaining voltage profiles. The results obtained indicate that by installing DG and capacitor whose location is optimized by BBO can significantly minimize the losses and improves the voltage profiles in distribution system. The results are compared with the results obtained by PSO (Particle Swarm Optimization) technique. Simulation is done in MATLAB.
Keywords
distributed power generation; distribution networks; optimisation; power factor correction; reactive power; biogeography based optimization technique; capacitor placement; distributed generation; distribution systems; reactive power compensation; voltage profile; Biogeography; Capacitors; Generators; Indexes; Optimization; Reactive power; Biogeography Based Optimization (BBO); Distributed Generation (DG); Optimal location and size; Particle Swarm Optimization (PSO); distribution network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Communication and Computing (ICCC), 2013 International Conference on
Conference_Location
Thiruvananthapuram
Print_ISBN
978-1-4799-0573-7
Type
conf
DOI
10.1109/ICCC.2013.6731653
Filename
6731653
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