A new MPPT algorithm for photovoltaic system based on hybrid Dingo optimizer and IC algorithm

• Published in: AIP conference proceedings Vol. 2804; no. 1
• Main Authors: Hadi, Zahraa H., Aljanabi, Mohanad, Hamza, Bashar J., Taha, Amany Y.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Melville American Institute of Physics 08.09.2023
• Subjects: Algorithms; Hybrid systems; Incremental conductance; Maximum power tracking; Optimization; Photovoltaic cells
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0155733

Because the photovoltaic (PV) systems produce power nonlinearly, maximum power point tracking (MPPT) techniques must be used to provide maximum power. The traditional MPPT techniques are ineffective Under rapidly varying environmental conditions. This work offers a new Intelligent strategy called the Dingo Optimization Algorithm (DOA) technique based on the Incremental conductance technique (IC) to overcome the issues of (IC) and the (DOA) based results are compared with the conventional technique such as PI, P&O, and IC method. The proposed techniques improve PV system performance by allowing for more accurate and faster tracking and very low fluctuations. MATLAB/Simulink software is used to validate. The presented approach for the MPPT of a solar system. According to the simulation results, the DOA control technique stands out for its ease of implementation, robustness, and steady-state power tracking efficiency after successfully passing the EN50530 solar standard test under various weather and environmental conditions with high efficiency of more than 99.961 %, which beats previous approaches.