Novel PV Array Reconfiguration and Integration with a Maximum Power Point Tracking Algorithm: RMPPT

• Published in: Arabian journal for science and engineering (2011) Vol. 48; no. 11; pp. 15445 - 15461
• Main Authors: Güngör, Okan, Kahveci, Hakan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023; Springer Nature B.V
• Subjects: Algorithms; Arrays; Engineering; Humanities and Social Sciences; Maximum power tracking; multidisciplinary; Particle swarm optimization; Photovoltaic cells; Reconfiguration; Research Article-Electrical Engineering; Science; Weather; Partial shading (PS); Maximum power point tracking (MPPT); PV array reconfiguration; Particle swarm optimization (PSO); Total cross tied (TCT)
• ISSN: 2193-567X; 1319-8025; 2191-4281
• DOI: 10.1007/s13369-023-08128-6

Partial shading significantly impacts the output power of photovoltaic (PV) arrays. This issue can be addressed by reconfiguring connections or positions of modules within the PV array. However, reconfiguration approaches present some drawbacks including the requirements of manual effort, complex algorithms, difficulty in implementation, and switching matrices that increase power losses. To overcome these issues, we present a low-cost and easily implemented reconfiguration method with integration into a maximum power point tracking (MPPT) algorithm for a PV array. We denote our MPPT approach as reconfigurable MPPT (RMPPT), and verify its applicability using a particle swarm optimization (PSO) algorithm, namely the reconfigurable PSO. Consequently, this approach has enhanced the output power of the PV array by at least 7.2% compared to PNO (perturb and observe) and PSO-based MPPT under realistic weather conditions.