Numéro |
Sci. Tech. Energ. Transition
Volume 79, 2024
|
|
---|---|---|
Numéro d'article | 40 | |
Nombre de pages | 11 | |
DOI | https://doi.org/10.2516/stet/2024030 | |
Publié en ligne | 12 juillet 2024 |
Regular Article
Optimal frequency determination for wind–hydro hybrid unit using Telegrapher’s method for low-frequency transmission lines
Jadavpur University, Raja S.C. Mallick Rd, Kolkata 700032, West Bengal, India
* Corresponding author: mukulanand.anand209@gmail.com
Received:
15
May
2023
Accepted:
22
April
2024
This study addresses the optimal load flow problem for low-frequency transmission lines connected to wind farms and Pumped Storage Hydropower (PSH). The losses in the LF-HVac system and the voltage stability index are highly reliant on the operating frequency. Hence, it is essential to integrate an Optimal Load Flow (OLF) method in order to ascertain the appropriate solutions for these systems. The load flow solutions in this system involve the utilization of the Newton–Raphson method in conjunction with STATCOM. A proposed approach to simplify mathematical calculations involves the development of a two-port equivalent model for transmission lines. This model is based on solutions derived from the Telegrapher’s method. The OLF method, which has been proposed, has undergone testing with various algorithms and has been successfully implemented in the IEEE 39-BUS system. The obtained results demonstrate that the LF method, when combined with the proposed metaheuristic algorithm, achieves optimal frequency for low-frequency HVac systems while simultaneously ensuring system stability.
Key words: Optimal load flow / Telegraph method / Jaya algorithm / Low-frequency power systems
© The Author(s), published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.
Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.
Le chargement des statistiques peut être long.