DocumentCode :
604700
Title :
Optimal location and sizing of DG and capacitor in distribution network using Weight-Improved Particle Swarm Optimization Algorithm (WIPSO)
Author :
Arulraj, R. ; Kumarappan, N. ; Vigneysh, T.
Author_Institution :
Dept. of Electr. Eng., Annamalai Univ., Chidambaram, India
fYear :
2013
fDate :
22-23 March 2013
Firstpage :
759
Lastpage :
764
Abstract :
The real and reactive power service by local devices plays an important role in continuous electric energy supply and energy management of the distribution system under peak load or over load conditions. The compensating devices are greatly utilized to provide the necessary real and reactive power support and to share the peak load demand. This paper presents optimal location and sizing of Distributed Generation (DG) and capacitor in distribution network to provide the necessary active and reactive power support, to minimize the system real and reactive power loss and to maintain the network voltage level within a desired range. The main objective of this paper is to minimize the cost of service provided by these local devices. This paper proposes Weight-Improved Particle Swarm Optimization Algorithm (WIPSO) for optimal location and sizing of compensating devices. The proposed method is efficiently examined in test system and comparative studies before and after installation of Distributed Generators and capacitors is made. Results illustrates improvement in network voltage profile, reduction in system real and reactive power loss and reduction in cost of service provided by these local devices.
Keywords :
distributed power generation; particle swarm optimisation; power capacitors; power distribution economics; power distribution planning; power generation economics; power generation planning; WIPSO; capacitor sizing; distributed generation; distribution network; distribution system; electric energy supply; energy management; optimal location; optimal sizing; peak load demand; reactive power loss; real power loss; service cost; weight improved particle swarm optimization algorithm; Capacitors; Distributed power generation; Load flow; Particle swarm optimization; Reactive power; Reliability; Capacitor; Distributed Generator (DG); Optimal Location; Optimal Size; Weight-Improved Particle Swarm Optimization (WIPSO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
Conference_Location :
Kottayam
Print_ISBN :
978-1-4673-5089-1
Type :
conf
DOI :
10.1109/iMac4s.2013.6526508
Filename :
6526508
Link To Document :
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