Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition

Rudra Sankar Pal and V. Mukherjee

Energy, 2020, vol. 212, issue C

Abstract: The characteristic of the photovoltaic (PV) system during partial shading condition comprises of one global peak and multiple local peaks. It is, therefore, very difficult to track maximum power from the PV arrays. Traditional maximum power point (MPP) tracking (MPPT) algorithms are commonly limited to uniform irradiance condition. In this manuscript, the problem under study is the tracking of maximum power from a PV array in real-time system. Consequently, this paper proposes an improved chaotic PSO (CPSO) (ICPSO) for extracting maximum power from the PV array under various environmental conditions. In the algorithm, chaotic mutation is engrafted to overcome trapping of normal PSO into local MPPs. Moreover, tracking time, number of iteration and efficiency are also improved considerably by the proposed algorithm. ICPSO based simulation results under four different irradiance patterns for each PV array configuration (such as 3S1P and 4S2P) are verified against PSO, improved PSO, CPSO, cuckoo search, and perturb and observed algorithm. The obtained results also ensure that the tracking efficiency of the proposed technique is better than the other approaches in most of the cases, which leads better outlook to use this technique in the control block for searching the global MPP of the PV setup.

Keywords: Chaos; Global maximum power point; Improved chaotic particle swarm optimization; Maximum power point tracking; Partial shading condition; PV array (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:212:y:2020:i:c:s036054422031700x

DOI: 10.1016/j.energy.2020.118592

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