Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of 100 MW Solar Plant

Muhammad Sheryar, Farhana Umer, Aoun Muhammad, Zeeshan Rashid


The major shortcoming in the extraction of electrical energy occurs due to partial shading over a limited area of a vast spread solar panel underpinning reduction of efficiency due to smaller voltage and current. The numbers of panels are interconnected in series and parallel to form a photovoltaic (PV) array for large solar power generation plants and a shadow over a single cell deteriorates overall performance. As a consequence, several peaks are added in the P–V curve causing hotspots in PV panels, degradation of the PV system, and collapse of tracking algorithms. In order to minimize issues such as hotspots in PV panels, glass cracking, and disorder in PV curve caused by a large difference between PV row currents due to partial shading, an effective optimization technique is developed by reconfiguring the panels which are capable of reaching the full global PowerPoint in a PV system under partial shading condition. The study of proposed PV-connected modules based on particle swarm optimization (PSO) is carried out using PV characteristics of 100 MW Quaid-e-Azam Solar Power (QASP) in Punjab, Pakistan. In PSO, electrical connections of PV modules are changed by keeping their physical locations unaltered aiming to improve the performance of the photovoltaic system to maintain the output of green electricity for future generations. After reconfiguration, the algorithm finds the best combination of PV modules by equalizing the row currents followed by the comparison of row current, voltages, and power of panels. The proposed PSO is proved to be the most efficient method by reconfiguring PV modules as compared to others in very less computational time by increasing output power of shaded modules and convergence rate.


Environmental factors; Interconnected system; Maximum power point trackers; Particle Swarm Optimization; Photovoltaic systems; Optical loss.

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