Paper Title
Network Reconfiguration For Loss Reduction And Voltage Stability Improvement Of 74-Bus Radial Distribution System Using Particle Swarm Optimization Algorithm

Abstract
In Myanmar, a lot of power is remarkably dissipated in distribution system. There are two types of losses in power distribution system namely technical and non-technical loss. Accurate loss reduction and voltage stability improvement are the critical components for efficient electrical distribution power flow. There are several ways for line loss reduction and voltage profile improvement. Specifically, network reconfiguration method is employed for the proposed system. The power flow analysis of base case is done by using an advanced software known as ETAP 7.5 version. The inputs are given based on the real time data collected from 33/11kV substations under Yangon Electricity Supply Board (YESB). Network reconfiguration in distribution systems is performed by opening sectionalizing (normally closed) and closing tie (normally open) switches of the network. The most important benefit of network reconfiguration is loss reduction, voltage profile improvement and freeing up the power system capacity. The proposed method is tested on a 74-Bus distribution network. It is situated in Dagon Seikkan Township, Yangon Division. This network is chosen as a case study for this paper since it has a lot of industrial loads that cause reduction of system efficiency. Power distribution of the studied system is overhead AC radial distribution system. The distribution network reconfiguration was modelled by MATLAB tool. Particle swarm optimization method is applied to get the optimal switching scheme for network reconfiguration. Simulation results from load flow analysis have shown that the implementation of this project leads to a significant enhancement in voltage profile, reduction in the real power loss and percentage of real power loss. Finally, study results of system loss reduction and voltage stability enhancement with brief overview of approached model for proposed system are revealed in this paper. Keywords- Loss Reduction, Network Reconfiguration, Particle Swarm Optimization, Voltage Stability Improvement