Development of Hybrid MPPT Algorithm for Maximum Power Harvesting under Partial Shading Conditions - Circuits and Systems

CS > Vol.7 No.8, June 2016

Development of Hybrid MPPT Algorithm for Maximum Power Harvesting under Partial Shading Conditions ()

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DOI: 10.4236/cs.2016.78140 2,514 Downloads 5,379 Views Citations

Author(s)

Kannabiran Kanimozhi¹, Bagarudeen Raja Mohamed Rabi²

Affiliation(s)

¹Department of Electrical and Electronics Engineering, ULTRA College of Engineering and Technology for Women, Madurai, India.
²Department of Mechanical Engineering, ULTRA College of Engineering and Technology for Women, Madurai, India.

ABSTRACT

In this paper, a Hybrid MPPT algorithm is proposed to improve the efficiency of photovoltaic (PV) systems under partial shading conditions. Partial shading occurs due to clouds, trees, dirt and dust in PV systems. In partial shading, multiple peaks arise in the PV characteristic curve. The Maximum power point tracking (MPPT) algorithm adjusts the duty cycle of the switch in DC-DC converter for regulating the input voltage at the Maximum power point (MPP) and to provide impedance matching i.e. input resistance of converter equal to equivalent solar resistance of PV system at MPP for the maximum power transfer. The Cuk converters have low switching losses and the highest efficiency. Therefore Cuk converter is chosen as power conditioning circuit to trackmaximum power using Hybrid MPPT technique. The influence of algorithm parameters on system behaviour is investigated and the various advantages and drawbacks of the technique are identified for different weather conditions. Practical results obtained using Solartech SPMO85P PV modules connected to a RL load through Hybrid MPPT controller validates the simulated results.

KEYWORDS

PV System, DC-DC Converter, Hybrid MPPT Controller, Tracking Efficiency, Partial Shading

Share and Cite:

Kanimozhi, K. and Rabi, B. (2016) Development of Hybrid MPPT Algorithm for Maximum Power Harvesting under Partial Shading Conditions. Circuits and Systems, 7, 1611-1622. doi: 10.4236/cs.2016.78140.

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