2018/02/08 by Ibrahim Ighneiwa, Ighneiwa, Ibrahim, Abdelmeneim Abduljalil Yousuf +1
Computer Science · Energy · Engineering · Physics and Astronomy · #Applied Physics (physics.app-ph) #FOS: Physical sciences #Photovoltaic System Optimization Techniques #Smart Grid Energy Management #Solar Radiation and Photovoltaics #physics.app-ph
paper · pdf · doi:10.48550/arxiv.1802.03463
arxiv created 2018/02/08 · openalex publication_date 2018/02/08 · arxiv updated 2018/02/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
One of the important technologies in renewable energy is the Photovoltaic (PV), which is the direct conversion of light into electricity at the atomic level, and improving the efficiency of PV systems is one of the very important factors in getting the most out of this invaluable renewable resource of energy. While most research work we studied used conventional techniques to control two parameters at most, like power and change in power, or voltage and change in voltage, etc., we implemented unconventional techniques, namely intelligent control to control more than two parameters at a time, including change in temperature which had been ignored by many researchers for various reasons, as well as the use of probability theory to predict the location of power point and control how it would move before not after it did. Practically, we utilized available PV systems devices to test our controlled systems and we used simulations and compare our findings with previous work done by others in this area and our techniques showed good improvement in efficiency and we believe that it could open the door for other colleagues to add valuable work in this important field.