Network Reconfiguration in Distribution System with Consideration of Distributed Generation
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Date
2020-01
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Addis Ababa University
Abstract
In this thesis, a technique has been established for solving best distribution network
reconfiguration with better placement of Distributed Generation (DG) to reduce power loss
and to improve the voltage profile in the Addis west distribution system.
In the proposed method, a radial distribution power flow of the Addis West (ADW) is
simulated for the developed radial distribution network power flow using Newton-Raphson
(NR) method. Then an extensive network reconfiguration is performed on the developed
radial distribution network using the Particle Swarm Optimization (PSO) algorithm. A
MATLAB code is developed to determine the best reconfiguration and compare it with the
original configuration in terms of voltage profile and total real power loss. Furthermore, a
DG inserted version of the original configuration has been compared with the original
configuration for its voltage profile as well as the total real power loss. DG size and location
are determined using loss sensitivity factors with the forward-backward algorithm to
calculate total power loss of the network and to identify the node loss sensitivity factors.
During simulation of the network reconfiguration, switches 34, 41, 52, 66 and 81 are found
to be open while the rest of the switches are closed. Moreover, the suitable site and size of
DG are found at bus numbers 45 and 57 with suitable size of 1.903 MW and 2.713 MW
respectively. The real power loss in the network after reconfiguration with DG is reduced by
60.733% (i.e. 1146 kW to 450 kW). The minimum bus voltage is increased from 0.8491 p.u
to 0.965 p.u. The total cost of the determined DG size was carried out by considering the
steam-turbine DG type. Consequently, the total cost of the 4.616 MW DG installation is
found to be $3,092,720 with its payback period of 9.3 years. Hence, the results show that the
combination of network reconfiguration with the DG installation method in the distribution
system is more effective in power loss reducing and improving the voltage profile of the
system.
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Keywords
Distributed Generation, network reconfiguration, real power loss, voltage profile, PSO & Forward-Backward