Energy Management of a Hybrid Generator (PV and WT) for a Domestic Load Connected to the STEG Grid
Today, electrical energy plays a central role in all human and industrial activities, due to its diversity and scale. So, in order to reduce our ecological footprint, combat climate change and preserve the planet's biodiversity, it is imperative to move towards sustainable development. Currently, there is a growing trend towards the use of renewable sources to supply both isolated sites and those connected to the electricity grid. The use of a hybrid system consisting of a photovoltaic generator and a wind turbine offers a better solution, especially for unconnected sites far from the grid. This type of promising system plays an essential role in the field of renewable energy. To boost energy production, cover energy demand during peak consumption in the summer season and supply its customers' energy needs, STEG Tunisia is pushing to use renewable energies such as photovoltaics connected to their network. Indeed, STEG Tunisia allows renewable generators to be interconnected to their network in order to inj ect excess production. This option minimizes energy costs for subscribers, which in turn boosts electricity production on the grid. The work objective is to design the model of the system studied and the simulation of this autonomous system connected to the STEG grid. This system is regulated by a supervision strategy to command the movement of electricity around the different units and the household load. The concept and validation of this work were carried out using MATLAB software. The outcomes confirm the significance of the created work.
Authors
- Samir Arfa
- Mohsen Ben Ammar (ORCID: https://orcid.org/0000-0002-6456-1937)
- Mohamed Ali Zdiri (ORCID: https://orcid.org/0000-0002-7742-4405)
- Hsan Hadj Abdallah (ORCID: https://orcid.org/0000-0002-3393-0875)
Institutions
- University of Sfax (TN)
Publication Details
- Published
- 2025-02-17
- DOI
- https://doi.org/10.1109/ssd64182.2025.10989937
- Primary Topic
- Islanding Detection in Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00