<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Future Algerian agricultural projects are oriented to the Sahara. Knowing that generally electrical energy is supplied largely by Generator Diesel (DGs). Due to the difficulty and lack of land roads for these desert areas, which creates fluctuations in the fuel supply process for farmers. In order to find a solution to mitigate this fluctuation requires the use of modern technology such as the hybridization of local renewable energy such as solar energy. Our system consists of the integration of a photogenerator (PVG) with a DG to feed a synchronous motor coupled to a central water pump controlled by means of transformers. This work presents an intelligent approach for improving and optimizing the control performance of a system using the Fuzzy Logic Control (FLC) based maximum power point tracking (MPPT) method. In this article, we will analyze a contribution to the use of a hybrid energy system (PVG-DG) according to a management strategy whose purpose is to reduce energy costs and reduce the emission of greenhouse gases (CO2). Our simulation results presented at the end of the article have demonstrated the efficiency and flexibility of the Matlab simulated techniques system based on the actual geographic information of the study area to validate the performance of the proposed system. Which can be used in other practical studies in the future.</p>
</abstract>

Future Algerian agricultural projects are oriented to the Sahara. Knowing that generally electrical energy is supplied largely by Generator Diesel (DGs). Due to the difficulty and lack of land roads for these desert areas, which creates fluctuations in the fuel supply process for farmers. In order to find a solution to mitigate this fluctuation requires the use of modern technology such as the hybridization of local renewable energy such as solar energy. Our system consists of the integration of a photogenerator (PVG) with a DG to feed a synchronous motor coupled to a central water pump controlled by means of transformers. This work presents an intelligent approach for improving and optimizing the control performance of a system using the Fuzzy Logic Control (FLC) based maximum power point tracking (MPPT) method. In this article, we will analyze a contribution to the use of a hybrid energy system (PVG-DG) according to a management strategy whose purpose is to reduce energy costs and reduce the emission of greenhouse gases (CO2). Our simulation results presented at the end of the article have demonstrated the efficiency and flexibility of the Matlab simulated techniques system based on the actual geographic information of the study area to validate the performance of the proposed system. Which can be used in other practical studies in the future.

Power Control Energy of a Pumping System (Photovoltaic- Diesel)

Department of Physics, Faculty of Sciences

Laboratory of Automation and Signals, Faculty of technology

The Scientific Bulletin of Electrical Engineering Faculty

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Power Control Energy of a Pumping System (Photovoltaic- Diesel)"}

Future Algerian agricultural projects are oriented to the Sahara. Knowing that generally electrical energy is supplied largely by Generator Diesel (DGs). Due...

Power Control Energy of a Pumping System (Photovoltaic- Diesel)

Online veröffentlicht: 28. Feb. 2024

Seitenbereich: 66 - 71

DOI: https://doi.org/10.2478/sbeef-2023-0021

Schlüsselwörter
Photovoltaic array, Diesel generator, Water pumping, Command, CO2 emission, Cost analysis

© 2023 Abdelhamid Ksentini et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Power Control Energy of a Pumping System (Photovoltaic- Diesel)

Online veröffentlicht: 28. Feb. 2024

Seitenbereich: 66 - 71

DOI: https://doi.org/10.2478/sbeef-2023-0021

SchlüsselwörterPhotovoltaic array, Diesel generator, Water pumping, Command, CO2 emission, Cost analysis

© 2023 Abdelhamid Ksentini et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Photovoltaic array, Diesel generator, Water pumping, Command, CO2 emission, Cost analysis