Predictive current control implementation of Stand Alone PV inverter

Autor: Mohamed Rida Bengourina, Linda Hassaine, Fateh Abdoune, Issam Abadlia

Publikováno v: Revue des Énergies Renouvelables, Pp 271 – 279-271 – 279 (2024)

In stand-alone photovoltaic (PV) systems, the main goal is to control the current that the inverter feeds to the load. In this paper, the performance of predictive current control (MPCC) is tested and evaluated for a stand-alone photovoltaic (PV) sys

Externí odkaz: https://doaj.org/article/70456bbc33434dbdb596d07ee7481da6

Static Variable Load for Grid-connected Photovoltaic System

Autor: Zakaria, Layate, Tahar, Bahi, Issam, Abadlia, Salima, Lekhchine, Hamza, Bouzeria

Publikováno v: In Energy Procedia August 2015 74:587-596

Adaptive fuzzy control with an optimization by using genetic algorithms for grid connected a hybrid photovoltaic–hydrogen generation system

Autor: Antar Beddar, Fateh Abdoune, L. Hassaine, Issam Abadlia, Mohammed Rida Bengourina

Publikováno v: International Journal of Hydrogen Energy. 45:22589-22599

The integration of significant amounts of renewable-storage hybrid power generation systems to the electric grid poses a unique set of challenges to utilities and system operators. This article deals with the designing methodology of an intelligent c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6c2f61331545568711949af1064a9a8
https://doi.org/10.1016/j.ijhydene.2020.06.168

DC-Link Voltage Adaptation by Using the Fuzzy Controllers for Grid-Connected Photovoltaic Inverters

Autor: Issam Abadlia, F. Abdoune, L. Hassaine, Antar Beddar

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_________::39fdc6082072bfb305299f813e8a349c
https://doi.org/10.1007/978-3-030-92038-8_30

Chaotic Bacterial Foraging Optimization Algorithm with Multi-cross Learning Mechanism for Energy Management of a Standalone PV/Wind with Fuel Cell

Autor: Hamza Bouzeria, Mohamed Adjabi, Issam Abadlia

Publikováno v: Springer Proceedings in Energy ISBN: 9789811565946

Variability and intermittency are some of the features renewable energies (REs). Due to their intermittent nature, it is very difficult to predict energy production, which requires either additional supply plants or new storage and control technologi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b09b200fc853e0a37475e381aa6e6eb
https://doi.org/10.1007/978-981-15-6595-3_12