Modified flower pollination algorithm for an off-grid solar photovoltaic system

  • Muhammad Mateen Afzal Awan Department of Electrical Engineering, University of Management and Technology, Sialkot 51310 Pakistan
  • Tahir Mahmood Department of Electrical Engineering, University of Engineering and Technology, Taxila 47080 Pakistan


This Operating the solar photovoltaic (PV) system at its maximum power point (MPP) under numerous environmental conditions to extract the maximum power is a challenging task. The challenge is to track the MPP, especially under partial shading conditions (PSC), where the formation of multiple MPP occurs in the characteristic curve of a PV array. Nevertheless, achieving this would benefit us with optimal power production, reducing the payback time and initial cost of the PV system. To perform this duty, an electronic circuit ruled by an algorithm is employed. The MPP tracking (MPPT) algorithms can be categorized into conventional and nature inspired. The conventional algorithms can successfully track the MPP under uniform weather conditions (UWC), and unable to identify the global MPP (GMPP) under PSC. However, the nature inspired algorithms possess the ability to perform efficiently under all weather conditions. Considering this strength of nature inspired algorithms, one of the top performing algorithms named as Flower pollination algorithm (FPA) is selected based on its brilliant searching strategy in adjacent and distant locations. In this paper, some structural modifications have been proposed in the FPA to further improve its searching capability and get more quick, accurate and efficient results for the MPPT of solar PV system. Results have proven the superiority of the proposed Modified FPA (MFPA) over the FPA in terms of efficiency, accuracy, tracking speed, energy conservation, economic saving, and payback time. Simulation is performed in MATLAB/Simulink.

Oct 1, 2022
How to Cite
AWAN, Muhammad Mateen Afzal; MAHMOOD, Tahir. Modified flower pollination algorithm for an off-grid solar photovoltaic system. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 41, n. 4, p. 95-105, oct. 2022. ISSN 2413-7219. Available at: <>. Date accessed: 04 dec. 2022. doi:
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License