Classifying sensitive overhead power lines according to their impact on cost functions to enhance their protection through dandelion optimization

Articles in Press

Document Type : Research Article

Authors

1 Professor, L2GEGI Laboratory, Applied sciences Faculty, IBN Khaldoun university of Tiaret, Algeria

2 Professor, Higher School of Electrical and Energetic Engineering of Oran, Algeria

Abstract

This article examines the objective function of power generation, focusing on the impact of overhead line failures (line outages) on its value, which may either decrease or increase depending on the line's criticality. This study proposes the Dandelion Optimization algorithm to evaluate system performance and identify the most critical transmission lines that require careful maintenance to reduce high generation costs. A novel performance index is established to assess the impact of line failure and identify the lines that warrant the most attention. This research uses the IEEE 30-bus power network as a case study to validate the proposed concept, which demonstrates that overhead electric transmission lines do not hold equal significance within the power network.

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AUT Journal of Electrical Engineering

Articles in Press, Accepted Manuscript
Available Online from 26 December 2025

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