Energy storage system for global maximum power point tracking on central inverter PV plants

Muller, Nicolas and Kouro, Samir and Renaudineau, Hugues and Wheeler, Patrick (2016) Energy storage system for global maximum power point tracking on central inverter PV plants. In: IEEE Annual Southern Power Electronics Conference (SPEC 16), 5-8 December 2016, Auckland, New Zealand.

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Abstract

Central inverters are the most common configuration for large-scale photovoltaic systems. Under partial shading or any non¬uniform conditions on the photovoltaic plant, several power maxima may arise. Conventional perturb and observe and other classical maximum power point tracking algorithms are capable of tracking a local maximum, but can not guarantee to operate at the global maximum. A solution to such limitation is to perform a scan of the photovoltaic characteristic periodically in order to ensure operation at the global maximum. However, such a scan generates high output power variations that may not comply with grid codes. In order to overcome this drawback and allow a global scan for maximum power point tracking purposes, this paper proposes a hybrid photovoltaic system with an ultra-capacitor based energy storage system. Simulations are provide to validated the proposed configuration. Results show that the photovoltaic scan allows operation at the global maximum power point, while the ultra-capacitor manage the power transient so that the output fluctuation are kept within reasonable limits.

Item Type: Conference or Workshop Item (Paper)
Additional Information: doi:10.1109/SPEC.2016.7846164. © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Inverters, Voltage control, Maximum power point trackers, Energy storage, Photovoltaic systems, Inductance
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Depositing User: Burns, Rebecca
Date Deposited: 10 May 2017 09:44
Last Modified: 13 Oct 2017 00:42
URI: http://eprints.nottingham.ac.uk/id/eprint/42685

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