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Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation
Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation
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Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation
Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation

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Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation
Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation
Journal Article

Loss Minimization and Voltage Enhancement through DGS Sizing and Locations Considering TCA and Network Reconfiguration during Load-Variation

2024
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Overview
Distribution Network Reconfiguration (DNR) is the most popular technique used to minimize power loss. However, applying the reconfiguration method alone will reduce power loss up to a specific value. Furthermore, Distributed Generation (DG) optimal sizing would also reduce power loss. However, a combined reconfiguration process with DG optimal sizing at an un-optimal location may raise power loss and voltage variation. So, it is important to evolve an efficient optimization method that determines the DG optimal sizing and optimal location and ensures optimal configuration at the same time. This work presents a new methodology that aims to find the best simultaneous solution that encompasses the optimal network reconfiguration and optimal DG Location and Sizing (DG_LS) beside the optimal value of the Tap Changer Alteration (TCA). In addition, the impact of load variation on network reconfiguration is also studied. Power loss reduction and overall voltage profile improvement using the firefly optimization technique are the aims of the presented methodology. Different scenarios were considered to examine the validity of the presented methodology. The output results confirm the validation of the proposed strategy to find the optimal simultaneous system configuration, the optimal generation output and location of units of DG, and the optimal tap changer alteration. In terms of active power and reactive losses, reductions in the test system of 74.53% and 71.26%, respectively, were achieved through scenario 5, evidencing the positive impact of the proposed methodology on distribution networks.
Publisher
جامعة فلسطين التقنية خضوري - عمادة البحث العلمي