@article{MAKHILLIJSC201611621371,
    title = {A Comparative Study of Hybridization Methods of Particle
Swarm Optimization (PSO) Family for Network Reconfiguration},
    journal = {International Journal of Soft Computing},
    volume = {11},
    number = {6},
    pages = {353-361},
    year = {2016},
    issn = {1816-9503},
    doi = {ijscomp.2016.353.361},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2016.353.361},
    author = {M.F.,M.K.,A.A.,Z.H. and},
    keywords = {PSO,PSO,Malaysia,IEEE,installation},
    abstract = {Electric power distribution loss and reliability are major concerns in power system as the demand of
electrical energy by customers keep increasing from day to day. Distribution Network Reconfiguration (DNR)
is one of the methods that can be applied in the system to minimize the power loss in the existing distribution
network. This project proposed the comparative study between the meta-heuristics PSO family that consists
of traditional PSO and hybrid PSO; EPSO and REPSO. The performance on the power loss, computing time and
total cost saving has been applied to the algorithm. A comprehensive performance analysis has been applied
on IEEE 33 bus distribution system by using the simulation in the MATLAB environment. The proposed
technique has been integrated as well as the real power losses along with computation time in the network
system offers also been investigated and justified. From these studies, the best PSO Family algorithm that
excels in performance of power losses reduction, computation time and total cost save has been determined.
Thus, distribution network reconfiguration can certainly be utilized to greatly assist in conserving the
expenditure, decreasing the power losses as well as increase the quality and even the reliability of electrical
power system throughout Malaysia installation.}
    }