| Optimal Design of Grid Tied PV System Using Manta Rays Foraging Optimizer |
| Paper ID : 1185-IUGRC5 (R4) |
| Authors: |
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Ahmed Mohamed Abdelmohsen *1, Ahmed Mohamed Hussien2, Omar Mohamed Yasser2, Hany Mohamed Hasanien2, Gamal Mohamed Hashem2 1Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt 2Electrical Power And Machines Dept. Faculty of Engineering, Ain Shams University Cairo, Egypt |
| Abstract: |
| In the past few years, the photovoltaic (PV) power generation has received a lot of attention due to its cost effectiveness and as one of the most proliferating renewable energy sources. Owing to PV stations spreading, the effect of these stations on the power system became a major concern. This paper investigates the control of large-scale PV systems under normal and faulty circumstances. The PV system comprised of a regulated boost DC-DC converter and a three-phase inverter. For grid integration, a filter and a step-up transformer were used. Incremental Conductance Maximum Power Point Tracking Algorithm is used to control the duty cycle of the boost converter. A synchronous d-q frame voltage and current cascaded loop control scheme that employed Proportional Integral (PI) controllers is used for controlling the power injected by the inverter. The optimal PI coefficients were acquired by employing the Metaheuristic Manta ray foraging optimization technique. For the purposes of simulating the proposed control strategy, MATLAB/Simulink-Simscape software is used. Furthermore, to validate the adequacy of the control strategy in riding through the faults, the PV system response is assessed under various faulty circumstances. |
| Keywords: |
| Photovoltaic PV Manta Ray MRFO PID Cascaded Control Inverter Renewable Microgrid MPPT Smart Grid AI Artificial Intelligence Power Electronics Optimization |
| Status : Paper Accepted (Oral Presentation) |
