Particle Swarm Optimization Based Solar PV Array Reconfiguration of the Maximum Power Extraction Under Partial Shading Conditions

• Published in: IEEE transactions on sustainable energy 2018-01, Vol.9 (1), p.74-85
• Main Authors: Babu, Thanikanti Sudhakar, Ram, J. Prasanth, Dragicevic, Tomislav, Miyatake, Masafumi, Blaabjerg, Frede, Rajasekar, Natarajan
• Format: Article
• Language: English
• Subjects: Array reconfiguration; Dispersion; Ear; genetic algorithm; Genetic algorithms; Integrated circuit interconnections; maximum power extraction; Particle swarm optimization; Switches; Switching circuits
• ISSN: 1949-3029; 1949-3037
• DOI: 10.1109/TSTE.2017.2714905

For large photovoltaic power generation plants, number of panels are interconnected in series and parallel to form a photovoltaic (PV) array. In this configuration, partial shade will result in decrease in power output and introduce multiple peaks in the P-V curve. As a consequence, the modules in the array will deliver different row currents. Therefore, to maximize the power extraction from PV array, the panels need to be reconfigured for row current difference minimization. Row current minimization via Su Do Ku game theory do physical relocation of panels may cause laborious work and lengthy interconnecting ties. Hence, in this paper, an alternative to physical relocation based on particle swarm optimization (PSO) connected modules is proposed. In this method, the physical location of the modules remains unchanged, while its electrical connections are altered. Extensive simulations with different shade patterns are carried out and thorough analysis with the help of I-V, P-V curves is carried out to support the usefulness of the proposed method. The effectiveness of proposed PSO technique is evaluated via performance analysis based on energy saving and income generation. Further, a comprehensive comparison of various electrical array reconfiguration based is performed at the last to examine the suitability of proposed array reconfiguration method.