Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Network Reconfiguration for Loss Reduction using Tabu Search and a Voltage Drop

Version 1 : Received: 1 November 2023 / Approved: 1 November 2023 / Online: 2 November 2023 (07:01:03 CET)

How to cite: Ñaupari Huatuco, D. Z.; Filho, L.; Pucuhuayla, F. S.; Rodriguez, Y. P. M. Network Reconfiguration for Loss Reduction using Tabu Search and a Voltage Drop. Preprints 2023, 2023110077. https://doi.org/10.20944/preprints202311.0077.v1 Ñaupari Huatuco, D. Z.; Filho, L.; Pucuhuayla, F. S.; Rodriguez, Y. P. M. Network Reconfiguration for Loss Reduction using Tabu Search and a Voltage Drop. Preprints 2023, 2023110077. https://doi.org/10.20944/preprints202311.0077.v1

Abstract

This work presents a new algorithm to resolve the problem of distribution network reconfiguration using the Tabu Search metaheuristic and voltage drop. The proposed method presents a different way to obtain the initial solution using the voltage drop, as well as a new way to generate a neighborhood of candidate solutions, based on randomness and the voltage drop, to perform a smooth and steady descent execution of the algorithm. The proposed algorithm has the main objective to reduce the active power losses in distribution networks, but it also achieves an refinement in the voltage profile. The proposed method was tested in two distribution systems, the 33-Bus and 94-Bus systems, commonly found and tested in the literature. The results of the tests show that the proposed method presents a low computational cost, achieves good solutions, and is better than the other methods found in the literature.

Keywords

network reconfiguration; distribution system; optimization; Tabu Search; minimization; distribution system loss; OpenDSS; Python

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.