Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions. (March 2015)

• Record Type: Journal Article
• Authors: Sundareswaran, K.; Vignesh kumar, V.; Palani, S.
• Is Part Of: Renewable energy. Volume 75(2015)
• Page Start: 308
• Page End: 317
• Publication Date: 2015-03
• Subjects: Maximum power point tracking -- Particle swarm optimization -- Photovoltaic systems; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2014.09.044
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: This paper explains the development of a new algorithm for maximum power point tracking (MPPT) in large PV systems under partial shading conditions (PSC). The new algorithm combines the use of particle swarm optimization (PSO) for MPPT during the initial stages of tracking and then employs the traditional perturb and observe (PO) method at the final stages. The methodology has been first simulated in two different PV configurations under varying shading patterns and experimentally verified using a microcontroller based experimental system. The integration of swarm intelligence with PO algorithm is shown to yield faster convergence to the global maximum power point (GMPP) than when the two methods are individually used. The oscillations in the output power, voltage and current of the PV system with the proposed method are the least when compared to the ones obtained during PSO based MPPT. Highlights: Under PSC, Power-Voltage curve of PV system exhibits multiple peaks. A new hybrid algorithm for MPPT under partial shaded conditions is developed. The new method involves sequential integration of existing PSO and PO algorithms. The hybrid algorithm is validated through simulation and experimental results. The results show increased tracking speed and improved transient response.