Designing a Generic Multi-Modality Processing Adapter for the Practical Implementation of the Photovoltaic Regulated Power Point Tracking under the Partial Shading

Reddy, M.K.K. and Sarkar, Vaskar (2022) Designing a Generic Multi-Modality Processing Adapter for the Practical Implementation of the Photovoltaic Regulated Power Point Tracking under the Partial Shading. Electric Power Systems Research, 208. pp. 1-13. ISSN 0378-7796

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Abstract

There is a growing trend around the globe to shift from the maximum power point tracking (MPPT) to the regulated power point tracking (RPPT) while harvesting power from a photovoltaic (PV) array. Unlike the MPPT control, the RPPT control makes it possible to flexibly adjust the PV power output at different values as long as the power requirement does not exceed the maximum power availability from the PV array. The objective of this paper is to design a generic multi-modality processing adapter (MMPA) to enable the RPPT operation under the partial shading. Practically, the RPPT is to be implemented via a quantum-mode iterative procedure on the basis of a discretised power-voltage curve. The necessity of the quantum-mode iterations arises because of a natural duty ratio quantisation phenomenon that happens in power electronic converters. There is an oscillation-guided adaptive-step enumeration (OGASE) algorithm to perform the RPPT in the quantum mode. However, a standalone OGASE controller may, as usual, be deceived by a local power peak under the partial shading. In order to help the OGASE controller overcome such local peak traps, the above MMPA module is introduced. The proposed MMPA module is suitably verified via both MATLAB simulations and hardware results. © 2022 Elsevier B.V.

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IITH Creators:
IITH CreatorsORCiD
Sarkar, Vaskarhttps://orcid.org/0000-0002-6011-8401
Item Type: Article
Uncontrolled Keywords: Maximum power point tracking, multi-modality processing adapter, partial shading, photovoltaic power generation, regulated power point tracking
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 22 Jun 2022 11:07
Last Modified: 29 Jun 2022 07:29
URI: http://raiith.iith.ac.in/id/eprint/9350
Publisher URL: https://doi.org/10.1016/j.epsr.2022.107806
OA policy: https://v2.sherpa.ac.uk/id/publication/16833
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