مشخصات پژوهش

صفحه نخست /A novel intelligent hybrid ...
عنوان A novel intelligent hybrid algorithm for maximum power point tracking in PV system
نوع پژوهش مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها MPPT,particle swarm optimization,partial shadow conditions,hybrid algorithms
چکیده The position of MPP of a solar panel changes with changes in weather conditions such as radiation, temperature and partial Shadow. In such a situation, several local MPPs and one GMPP are created in the P-V curve, and the common methods of MPPT(P&O, IC,. . .) have converged due to the failure to recognise the local MPP. They cause a lot of losses to the photovoltaic system. Therefore, in this article, it has been tried to provide a new method of particle swarm optimisation with variable coefficients, which in combination with the perturb and observe method can reach the GMPP in the fastest possible time. In this proposed method, we first reach the convergence of the GMPP using the VCPSO method, and after converging to it, we go to the P&O method and use P&O until significant changes are made in the system, and if observed Variations To re-examine the GMPP, we return to the VCPSO algorithm. The results of the simulation of the efficiency of the proposed method show that this method was able to reach the GMPP in the shortest time, and the efficiency of the photovoltaic system increases and the effects of partial shading are reduced.
پژوهشگران پریسا محبی (نفر اول)، رحمت اعظمی (نفر دوم)، امین مرادخانی (نفر سوم)، سعید دانیالی (نفر چهارم)