@article{MAKHILLJEAS2019141818419,
    title = {A New Approach of DNR by using Multi-Population Evolutionary Programming
(MPEP) for Losses Minimization},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {18},
    pages = {6567-6574},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.6567.6574},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.6567.6574},
    author = {N.,M.F.,M.H.,Z.H. and},
    keywords = {Distribution Network Reconfiguration (DNR),Multi Population Evolutionary Programming (MPEP),Evolutionary Programming (EP),power loss reduction,voltage profile improvement,system},
    abstract = {Electric power distribution loss and reliability are major concerns in power system as the demand for
electrical energy by customers keeps increasing day by day. One of the suggested methods to minimize these
problems is by doing reconfiguration process to the existing distribution network. A reconfiguration is
performed by opening or closing the sectionalizing switches to maintain the feeder in radial network. This study
presents a method of Distribution Network Reconfiguration (DNR) by using Multi Population Evolutionary
Programming (MPEP). The main objectives of this study are to minimize the power losses and improve the
voltage profile. The performance of the Multi-Population Evolutionary Programming (MPEP) method has been
investigated and the impact to the distribution network has been analyzed. The proposed algorithm has been
tested on IEEE 16, 33 and 69 buses of radial distribution systems network accordingly. The real results have
been compared with the conventional initial network and an optimization technique which is conventional
Evolutionary Programming (EP). The results of this study are hoped able to help electrical engineers in solving
the losses problem in the distribution network while increasing the efficiency of the real distribution system
significantly.}
    }