A Novel MPPT Algorithm for Different PV Array Arrangements: Horse Herd Optimization

• Published in: 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) pp. 100 - 105
• Main Authors: Fahim, Md. Al Imran, Yusuf, Md. Salah Uddin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.01.2025
• Subjects: Global Maxima; Horse Herd Optimization; Local Maxima; MATLAB; Maximum power point trackers; Maximum Power Point Tracking; Optimization; Oscillators; Photovoltaic System; Photovoltaic systems; Robots; Signal processing; Signal processing algorithms; Spline; Splines (mathematics)
• ISBN: 9798331530938
• DOI: 10.1109/ICREST63960.2025.10914424

In order to meet the growing demand for power while lowering the emissions of harmful gasses, photovoltaic (PV) systems are becoming more favored. However, several variables can affect the PV systems, including variations around the global maxima (GM), sluggish response in tracking, and being trapped in local maxima (LM). Alongside this, tracking maximum power point (MPP) for different PV array arrangements is a big challenge. To deal with these issues, a MPP tracker has been implemented using a novel technique known as horse herd optimization (HHO). In this study, the HHO results have been compared with the P&O and Spline MPPT techniques. For all the cases, HHO accurately tracks the MPP with smaller tracking time, higher efficiency, and zero oscillation whereas the P&O accurately tracks MPP only for the second case and Spline trap at LM for the first case and tracks MPP accurately for the second and third cases. For the second and third cases, Spline takes much time, 0.24sec and 0.45sec respectively to settle at GM whereas HHO takes only 0.07sec and 0.27sec respectively. The average tracking efficiency of HHO was 99.9 percent.