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Optimized Siting and Sizing of DG in a HESCO Feeder using Particle Swarm Optimization

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 9)

Publication Date:

Authors : ; ; ; ;

Page : 190-201

Keywords : Distributed Generation; HESCO; Power loss; Artificial Intelligence; Distribution system;

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Power system is a radial distribution system comprising large number of nodes and branches. Especially in Pakistan, large network causes power loss and voltage drop due to outdated infrastructure. Distributed Generation is one of the emerging solutions to compensate the load demand along with improvement in power quality and voltage profile of electrical power system. Although, proper placement and sizing of DG is still a challenging situation in power system as improper placement and sizing may bring the network more sever situation. This paper analyses a real time 11 kV radial distribution network of HESCO. An artificial intelligence technical named PSO is utilized to identify the optimal placement and size for DG integration. The proposed technique resulted as very effective for reduction in power loss with fast convergence.

Last modified: 2019-10-03 22:35:21