Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45339
Title: Dynamic Analysis of Photovoltaic to Virtual Bus Parallel Differential Power Processing Architecture
Authors: Nazer, Afshin
Isabella, Olindo
MANGANIELLO, Patrizio 
Issue Date: 2025
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Source: IEEE transactions on industrial electronics,
Status: Early view
Abstract: Photovoltaic (PV) to virtual bus parallel differential power processing (PDPP) architecture can mitigate mismatch losses among PV strings. This article presents a comprehensive dynamic analysis by deriving a small-signal model of the PDPP architecture based on its state space model. Subsequently, the corresponding transfer functions and frequency response are obtained, offering valuable insights into the dynamic behavior of the architecture. To validate the accuracy of the derived model, the frequency response has also been achieved by observed data from both PLECS simulation and experiment through system identification. Besides, this article discusses the design considerations of the discrete controllers' parameters for both virtual and intermediate bus voltages and studies the stability of the architecture. Experimental measurements confirm the ability of the central controller to stabilize the virtual bus voltage to the desired level within 0.6 seconds, while the intermediate bus voltages settle within 15 ms, enabling proper maximum power point tracking of each PV string.
Notes: Nazer, A (corresponding author), Delft Univ Technol, NL-2628 CD Delft, Netherlands.
A.Nazer@tudelft.nl
Keywords: Mathematical models;Index Terms-Differential power processing;photovolta- tronics;Switches;Voltage control;photovoltaic (PV) system;small signal modelling;Voltage;Photovoltaic systems;system identification;Integrated circuit modeling;Equivalent circuits;Steady-state;Maximum power point trackers;Accuracy;Differential power processing;photovoltatronics;photovoltaic (PV) system;small signal modelling;system identification
Document URI: http://hdl.handle.net/1942/45339
ISSN: 0278-0046
e-ISSN: 1557-9948
DOI: 10.1109/TIE.2025.3528473
ISI #: 001411796100001
Rights: 2025 IEEE. All rights reserved, including rights for text and data mining, and training of artificial intelligence and similar technologies. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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Preparation of Papers in Two-Column Format.pdf
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