Network Reconfiguration to Improve Oman Distribution Network Parameters
Using SCADA System and Fuzzy Clustering Technique
Electric utilities worldwide are going through a process aimed at load
balancing, reducing technical losses and improving the power quality.
Network reconfiguration is one of several methods or applications to
achieve these goals. It is featured with no investment costs where it is
carried out through identifying the best location of the open point in
the network. For this purpose, this paper is focused on applying the
fuzzy clustering technique (FCT) on real distribution network in Mazoon
Electricity Network (MEN) as a part of Oman distribution network.
Supervisory Control and Data Acquisition (SCADA) system is used for
measurement the performance of MEN for minimizing the power losses and
improving the voltage profile. The FCT is applied to classify the
distribution nodes based on their belonging to their feeder branch. The
output of this FCT application is to create different valid
reconfiguration scenarios which are simulated by ETAP to extract the
optimal scenario that achieves the optimal network operation in terms of
power losses reduction and voltage profile improvement.