مشروع البحث: An improved Maximum Power Point Tracking For PV System
dc.contributor.advisor | Dr. Ahmed F Zobaa | |
dc.date.accessioned | 2025-10-14T08:34:27Z | |
dc.date.available | 2025-10-14T08:34:27Z | |
dc.description | The algorithm put forward in this work is verified with an OPAL-RT real time simulator and Matlab Simulink tool. A number of simulations are undertaken and compared to: (1) the Perturb and Observe (P&O) method; (2) the Incremental Conductance (IncCond) method; and (3) the PSO based algorithm. The simulation results indicate that the proposed algorithm can effectively enhance stability and fast tracking capability under fast-changing non-uniform insolation conditions. | |
dc.description.abstract | Working very far from maximum power point diminishes the created power from photovoltaic (PV) system. It is therefore vital, in order to ensure ideal operating conditions, to constantly track the Maximum Power Point (MPP) of the PV panel array. However, this is not easy to identify, due to considerable changes in external influences and the nonlinear relationship of the electrical attributes of PV panels. Therefore, Maximum Power Point Tracking (MPPT) methods can be used to uphold the PV panel operating at its MPP. To date, a number of MPPT methods have been developed, ranging from the simple to the more complex, depending on the weather conditions and the control strategies employed. | |
dc.identifier | 764 | |
dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/1798 | |
dc.subject | Tracking For PV System | |
dc.title | An improved Maximum Power Point Tracking For PV System | |
dspace.entity.type | Project | |
project.endDate | 2016 | |
project.funder.name | الهندسة الكهربائية والاكترونية | |
project.investigator | رمضان بشير عبد القادر | |
project.startDate | 2015 |