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Eskişehir Osmangazi Üniversitesi (2022)

Optimal Sizing and techno-economic design of Al-Fashir (Sudan) solar power station

ALI Abdalftah Hamed Mohammed

Titre : Optimal Sizing and techno-economic design of Al-Fashir (Sudan) solar power station

Al-Fashir (Sudan) güneş elektrik santralinin optimal boyutlandırması ve tekno-ekonomik tasarımı

Auteur : ALI Abdalftah Hamed Mohammed

Université de soutenance : Eskişehir Osmangazi Üniversitesi

Grade : Master of Science (MSc) 2022

This study presents the performance of a 5MW PV grid-connected plant located in AL-Fashir City, Sudan. However, the plant was designed three years ago as the first large grid-connected projects Sudan authority targeted to Shrink the high demand for electricity in the City. Although, the plant was executed with a high investment cost of around $6,862,846.25M. The government implemented the plant without deeply conducting a feasibility assessment, so the facility operation was not as expected. The study has been motivated to introduce an enhancement to improve actual performance. This study is the first study conducted on AL-Fashir PV Plant. MATLAB and PVSyst tools were used to assess the daily, monthly, and annual operations to optimize and address the station problems. Here, two algorithms are implemented to assess the proposed system’s built-in MATLAB under rapidly changing atmospheric circumstances. In reality, the actual parameters for two days were thoroughly investigated in order to improve the performance and increase the efficiency of AL-Fashir plant by identifying the maximum PowerPoint and consequently increasing the tracking efficiency based on developed algorithms. PV systems benefit from MPPT approaches because they improve power output and energy delivery to the load while also extending the useful life of the PV system. The P&O algorithm performance is compared to the ANN trained by the PSO method by a set of solar radiation values. However, Time response, oscillation, and stability are the three most important factors to consider when evaluating the effectiveness of any MPPT algorithm. The results show that ANN trained by the PSO algorithm’s performance was better in time response and tracking speed and oscillation than the P&O algorithm and could identify the new PowerPoint quickly. Additionally, PVSyst software presented monthly and annual station performance as well as economic analyses. Hence, the PVsyst predicts a greater yearly power than the measured amount. In particular, half of the annual savings for the plant are dissipated due to the losses and nonperfect operation. The study results will assist in resizing the PV Plant and improve the Plant’s operating performance and efficiency to make affordable and reliable power accessible to the people in Sudan. One of the reasons for these losses is that the station sometimes operates at certain hours depending on solar radiation. In order not to affect the frequency of the other generation network, the amount of generation from the station is reduced at a certain rate. However, other factors are the high radiation and humidity density in this area. Solar cells are suitable for electricity generation in remote desert regions due to the high intensities of solar radiation that define these places. However, dust accumulation in PV panels, which is considered a complex process that occurs mainly in dry air areas and is controlled by various site-specific environmental and climatic factors, has a detrimental effect on the output of PV panels. Even on a single panel in an array, dust accumulation prevented incoming light from reaching the solar PV panel, reducing their efficiency in power generation by up to 40%. Intense humidity can also be another critical component in solar photovoltaic system shortfalls. In this direction, photovoltaic power plants should be used in areas where solar radiation and aperture index values are high and dust and humidity are lower in order to improve solar energy production.


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Page publiée le 31 janvier 2023