Application of Artificial Intelligent Techniques for Power Quality Improvement in Microgrid System

Autor: Khaoula Nermine Khallouf, Zarour Laid

Publikováno v: Revue des Énergies Renouvelables, Pp 199 – 208-199 – 208 (2024)

This paper focuses on modeling, control and power quality improvement of a microgrid connected system. This last was designed as a multi-converter system with Wind Turbine driven Permanent Magnet Synchronous Generator, and lithium ion Battery Storage

Externí odkaz: https://doaj.org/article/41baec18892b4080bf488a964b329c31

Performance evaluation of nonlinear control approaches for grid-connected PV systems includes a novel fractional-order terminal-super twisting approach

Autor: Hadjaidji, Fatma-Zohra, Boukhetala, Djamel, Debdouche, Naamane, Benbouhenni, Habib, Barbot, Jean-Pierre, Zarour, Laid

Publikováno v: In Energy Reports December 2024 12:5024-5043

Genetic algorithm-super-twisting technique for grid-connected PV system associate with filter

Autor: Debdouche, Naamane, Zarour, Laid, Chebabhi, Ali, Bessous, Noureddine, Benbouhenni, Habib, Colak, Ilhami

Publikováno v: In Energy Reports November 2023 10:4231-4252

Direct Power Control for Three-Level Multifunctional Voltage Source Inverter of PV Systems Using a Simplified Super-Twisting Algorithm

Autor: Naamane Debdouche, Brahim Deffaf, Habib Benbouhenni, Zarour Laid, Mohamed I. Mosaad

Publikováno v: Energies, Vol 16, Iss 10, p 4103 (2023)

This study proposes a simplified super-twisting algorithm (SSTA) control strategy for improving the power quality of grid-connected photovoltaic (PV) power systems. Some quality issues are considered in this study including the power factor, reducing

Externí odkaz: https://doaj.org/article/600b309b39214be0a9947d7b0c244047

DPC-SVM Controlled Strategy for a Three-Level Shunt Active Power Filter Grid Connected Photovoltaic System Optimized by Super Twisting Sliding Mode Technique

Autor: Naamane Debdouche, Cbebabhi Ali, Zarour Laid, Sabir Ouchen

Publikováno v: Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities ISBN: 9783030920371
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84d3712b5ab23c099230e79cac639623
https://doi.org/10.1007/978-3-030-92038-8_25