Ravichandran, Nagananthini (2025) ANALYSIS AND MITIGATION OF LIGHTNING OVERVOLTAGES IN DISTRIBUTION LINES. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | ANALYSIS AND MITIGATION OF LIGHTNING OVERVOLTAGES IN DISTRIBUTION LINES |
| Autori: | Autore Email Ravichandran, Nagananthini nagananthini.ravichandran@unina.it |
| Data: | 4 Giugno 2025 |
| Numero di pagine: | 188 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email Russo, Stefano stefano.russo@unina.it |
| Tutor: | nome email Andreotti, Amedeo [non definito] Proto, Daniela [non definito] |
| Data: | 4 Giugno 2025 |
| Numero di pagine: | 188 |
| Parole chiave: | lightning overvoltages, flashover mitigation, surge arrester, decision theory, multi-objective optimization, design of experiments |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/33 - Sistemi elettrici per l'energia |
| Informazioni aggiuntive: | La sottoscritta Nagananthini Ravichandran autrice della tesi: "Analysis and Mitigation of Lightning Overvoltages in Distribution Lines" appartiene al 37° ciclo di dottorato ITEE. Tuttavia, a causa di un problema tecnico del sito fedOAtd, ha selezionato il ciclo di dottorato più recente, vale a dire il 36° ciclo anziché il corretto 37°. |
| Depositato il: | 04 Giu 2025 15:34 |
| Ultima modifica: | 09 Ago 2026 06:08 |
| URI: | https://www.fedoa.unina.it/id/eprint/16764 |
Abstract
Power outages and transients caused by lightning strokes can lead to severe economic and operational disruptions, especially in regions with high ground flash density. The unpredictability of lightning strokes, and their ability to increase the voltage above the withstanding levels of the power lines within microseconds, necessitates advanced protection strategies. These protection strategies typically involve the installation of surge arresters and shield wires to mitigate the lightning effects. Given the complexity of networks, identifying an effective protection strategy while ensuring maximum coverage with minimal resources is a complex problem due to the stochastic nature of lightning strokes. A comprehensive protection strategy also requires balancing and meeting multiple, often conflicting, requirements. Existing methodologies, such as the Monte Carlo method to represent the random nature of the lightning combined with heuristic optimization algorithms like the Genetic Algorithm, require extensive computational effort due to the need to simulate thousands of lightning events for every potential protection configuration. This thesis proposes a novel methodology to address these challenges by formulating a multiobjective optimization problem and integrating the Design of Experiments techniques, particularly the Taguchi method, with decision theory. The Taguchi method, by reducing the number of required simulations through the use of orthogonal arrays, provides an efficient alternative to the traditional Monte Carlo approach, offering comparable accuracy with significantly reduced computational effort. To do that, an original method is proposed for scenario formulation, which has been referred to as Taguchi Multi-Area. The proposed approach allows for finding trade-off solutions, balancing competing objectives such as flashover rates and cost of protective devices while highly reducing the computational burden.
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