Dynamic Reconfiguration of Distribution Networks Considering the Dynamic Topology Variation
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I.O.E. Pulchowk Campus
Abstract
Electrical distribution networks undergo dynamic transformations due to continuous alteration and variation of loads. These alterations necessitate engineering studies aimed at optimizing the distribution networks. Reconfiguring networks stands as a critical analysis process essential for enhancing and managing distribution systems (DSs). When starting with a stable initial DS, the distribution feeders can be reconfigured by adjusting switch statuses to enhance operational performance. Changes in the initial topology can occur due to equipment maintenance, system expansion, or fault incidents, with branch additions or removals. In this study, we introduce a dynamic reconfiguration approach that takes into account dynamic variations in the initial topology. This methodology integrates dynamic topology analysis and network reconfiguration to address current distribution network optimization issues. The original DS topology is characterized by a collection of independent topological parameters. Dynamic topology analysis helps to identify changes in the original topology and identify locations that are out of service in order to restore network connectivity. These topological parameters are then updated to determine the initial topology in present time.
Description
Dynamic topology analysis helps to identify changes in the original topology and identify locations that are out of service in order to restore network connectivity. These topological parameters are then updated to determine the initial topology in present time. We identify the best configuration to reduce power losses and improve the voltage profile of the dynamic distribution network in accordance with network reconfiguration. This thesis takes two examples: IEEE 33-bus system & 11kV Distribution feeder under NEA. The provided examples demonstrate the application of the proposed approach for reconfiguring a dynamic distribution network