Shading Fraction based Global Maximum Power Prediction for Photovoltaic Energy Conversion Systems

Bharadwaj, P and John, V (2018) Shading Fraction based Global Maximum Power Prediction for Photovoltaic Energy Conversion Systems. In: 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018, 10 - 15 June 2018, Waikoloa Village, pp. 1163-1168.

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Abstract

Maximum power point tracking is the key to optimum utilisation of photovoltaic energy conversion systems. With increasing photovoltaic system installations in dense areas, the panels become prone to partial shading. In the event of partial shading, it becomes all the more important to operate the system at global maximum power point, failing which the system loses high amount of power. If the PV system does not incorporate shade-aware design: Long operations under partial shading lead to potential system failure. This work identifies several possible output characteristics of PV panel arrays under different shading conditions along with a method of identifying the global maximum power point in each case. Using this method, given shading fraction on a PV array, many global MPPT algorithms can be developed and implemented. The understanding of panel output characteristics also facilitates the prediction of partial shading and the shade pattern, which prevents hotspot formation and system degradation.

Item Type:	Conference Paper
Publication:	2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Forecasting; Global optimization; Maximum power point trackers; Photovoltaic cells; Systems engineering, Global maximum; Maximum Power Point Tracking; output characterisation; Output characteristics; Partial shading; Photovoltaic energy conversion system; Photovoltaic systems; System degradation, Energy conversion
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	04 Aug 2022 06:03
Last Modified:	04 Aug 2022 06:03
URI:	https://eprints.iisc.ac.in/id/eprint/75146

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