Study on Power Loss Minimization for Distribution Network Reconfiguration Using Genetic Algorithm Case Study: Addis North 132/15 KV Substation
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Date
2018-06
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AAU
Abstract
Distribution system is a largest portion of network of electrical power system. Different actions
have been taken to improve the efficiency of the distribution network. One of the most basic and
the commonest way to improve the performance of the distribution network is the network
reconfiguration. Electric distribution systems reconfiguration comprises tie and sectionalizing
switches. Tie switches are normally open, and sectionalizing switches are normally closed. By
opening and closing these switches, the distribution network can be reconfigured. This
reconfiguration can be done for the objective of loss minimization. In order to get feasible results
(loss minimization), the reconfiguration must meet some constraints, like Kirchhoff‟s voltage
and current laws, other equality and inequality constraints.
Distribution network reconfiguration is an optimization problem and needs a suitable algorithm
(method).The method used for this optimization problem is a genetic algorithm optimization
method. The genetic algorithm has been described in detail and then applied specifically to the
network reconfiguration problem. In the optimization process, load flow of the distribution
system was computed. Then, computer simulation was performed by using DIgSILENT
PowerFactory software for analyzing the distribution network reconfiguration. In addition,
optimized genetic algorithm was used as a tool for network reconfiguration.
Addis North 132/15 kV substation feeders are used as test system for this particular study.
Before the reconfiguration, the power loss is 3.983783 MW, after reconfiguration the power loss
has decreased from 3.983783 MW to 1.594640 MW, which is 2.389143 MW (59.91716%)
reduction. Besides, the maximum voltage drop before reconfiguration is 0.352639, and the
reconfiguration increased it to 5.050102. The minimum voltage before reconfiguration is
0.992618 p.u., and the minimum voltage is found to be 0.947288 p.u. after reconfiguration. In
addition, the maximum voltage before reconfiguration is 0.992069 p.u., and it is found to be
0.9953500 p.u. after reconfiguration. Based on the findings of this research, it is concluded that
reconfiguration of distribution networks can reduce power loss and operating cost as well as
improves the voltage profile of distribution systems. Hence, it is recommended that all the
distribution network feeders of Addis Ababa city to be reconfigured for the betterment of the
Ethiopian Electric Utility (EEU) services.
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Keywords
Network Reconfiguration, Genetic Algorithm Optimization, Power Loss Minimization