Abstract
The increasing demand for water and the depleting fossil fuels for its treatment made renewable energies a better alternative source for feeding water desalination units. Photovoltaic (PV) energy is an important source of renewable energy that could be an alternative to satisfy the broad energy needs in the future.
Our project consists in the realization of a desalination mobile unit of brackish water based on solar energy which will serve as prototype for scientific research to develop many research axes. This prototype consists of different parts such as: The production of electrical energy by photovoltaic panels, DC/DC conversion, DC/AC conversion and water treatment.
PV system produces maximum output power in only one point on Power-Voltage (P-V) curve called Maximum Power Point (MPP). When the weather conditions change (such as temperature and irradiation), the voltage and current in the circuit change. In this case, a new MPP must be found based on Maximum Power Point Tracking algorithms (MPPT) to optimize the power generated by PV. Hence, many methods have been developed to determine MPP.
In this work, a comparison between two MPPT algorithms namely Perturb and Observe (P&O) and Incremental Conductance (InC) is presented. The simulations are accomplished by using a DC/DC Buck converter, a PV array and a load under MATLAB/Simulink environment. The obtained results, in different climatic conditions, reveal that the InC controller is more effective than P&O controller.
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Meryem, B., Ahmed, N., Sanaa, H., Ahmed, F. (2019). Optimization of PV Panel Using P&O and Incremental Conductance Algorithms for Desalination Mobile Unit. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-030-12065-8_17
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DOI: https://doi.org/10.1007/978-3-030-12065-8_17
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