Power Loss Minimization In Distribution Power System With Distributed Generation Using Network Reconfiguration

The power system's generating, and transmission capacities are being strained by rising energy demands. The performance of distribution system becomes degraded due to an increase in distribution losses and reduction in voltage magnitude, and bad planning of the distribution system. These issues...

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Bibliographic Details
Main Author: Syed Muhammad Fadli, Syed Drus
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/39921/1/EC18004_Syed%20Muhammad%20Fadli_Thesis%20-%20syed%20fadli.pdf
http://umpir.ump.edu.my/id/eprint/39921/
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Summary:The power system's generating, and transmission capacities are being strained by rising energy demands. The performance of distribution system becomes degraded due to an increase in distribution losses and reduction in voltage magnitude, and bad planning of the distribution system. These issues may be addressed, and the system's performance improved by incorporating Distributed Generation (DG) into the distribution system in an efficient way. The purpose of this research report is to present an effective combination method based on Backward-Forward Sweep Power Flow (BFSPF) and Grey Wolf Optimizer (GWO) with considering network reconfiguration and the presence of DG with the purpose of minimizing real power loss, improving voltage profile in the distribution network, and evaluation in term of effectiveness of the optimization technique. In a radial distribution network, network reconfiguration is utilized into GWO and find the best value for DG size concurrently. The effect of a technique based on the network reconfiguration with GWO algorithm to find actual power losses and voltage profiles is examined. IEEE 33- bus test system by adding five tie line switch is used to illustrate the suggested method's performance and efficacy. The findings indicate that the network reconfiguration with GWO algorithm is the most successful for minimizing actual power loss and improving voltage profiles and that it may be used to plan ahead in distribution networks.