Dynamic reserve power point tracking in grid-connected photovoltaic power plants

This article introduces a dynamic power reserve control methodology called reserve power point tracking (RPPT) for grid-connected photovoltaic (PV) plants. The proposed RPPT methodology is employed to ensure availability of the required power reserve to support the grid and accordingly facilitate hi...

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Main Authors: Narang, Aditi, Farivar, Glen G., Tafti, Hossein Dehghani, Ceballos, Salvador, Beniwal, Neha, Pou, Josep, Townsend, Christopher D., Konstantinou, Georgios
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/172740
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1727402023-12-18T08:11:41Z Dynamic reserve power point tracking in grid-connected photovoltaic power plants Narang, Aditi Farivar, Glen G. Tafti, Hossein Dehghani Ceballos, Salvador Beniwal, Neha Pou, Josep Townsend, Christopher D. Konstantinou, Georgios School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Flexible Power Control Grid Support This article introduces a dynamic power reserve control methodology called reserve power point tracking (RPPT) for grid-connected photovoltaic (PV) plants. The proposed RPPT methodology is employed to ensure availability of the required power reserve to support the grid and accordingly facilitate high penetration of PV generation in the grid. Implementing this control methodology does not require any extra hardware. The proposed methodology regulates the average PV power dynamically by periodically operating on and off the maximum power point (MPP) in order to inject a constant desired power into the grid. Tracking a desired power reference implies that the proposed methodology is a form of flexible power point tracking (FPPT). However, unlike a traditional FPPT, the proposed methodology also provides updated information of the available maximum PV power. Hence, the RPPT fulfills both FPPT and maximum power point tracking (MPPT) functionalities simultaneously. The proposed methodology extracts the MPP information and uses this information to calculate and regulate the amount of PV reserve power. One of the main advantages of the proposed algorithm is its applicability under partial shading conditions. Its effectiveness is demonstrated by experimental results under changing solar irradiance, grid frequency deviation, and partial shading conditions. 2023-12-18T08:11:41Z 2023-12-18T08:11:41Z 2023 Journal Article Narang, A., Farivar, G. G., Tafti, H. D., Ceballos, S., Beniwal, N., Pou, J., Townsend, C. D. & Konstantinou, G. (2023). Dynamic reserve power point tracking in grid-connected photovoltaic power plants. IEEE Transactions On Power Electronics, 38(5), 5939-5951. https://dx.doi.org/10.1109/TPEL.2023.3240186 0885-8993 https://hdl.handle.net/10356/172740 10.1109/TPEL.2023.3240186 2-s2.0-85148458514 5 38 5939 5951 en IEEE Transactions on Power Electronics © 2023 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Flexible Power Control
Grid Support
spellingShingle Engineering::Electrical and electronic engineering
Flexible Power Control
Grid Support
Narang, Aditi
Farivar, Glen G.
Tafti, Hossein Dehghani
Ceballos, Salvador
Beniwal, Neha
Pou, Josep
Townsend, Christopher D.
Konstantinou, Georgios
Dynamic reserve power point tracking in grid-connected photovoltaic power plants
description This article introduces a dynamic power reserve control methodology called reserve power point tracking (RPPT) for grid-connected photovoltaic (PV) plants. The proposed RPPT methodology is employed to ensure availability of the required power reserve to support the grid and accordingly facilitate high penetration of PV generation in the grid. Implementing this control methodology does not require any extra hardware. The proposed methodology regulates the average PV power dynamically by periodically operating on and off the maximum power point (MPP) in order to inject a constant desired power into the grid. Tracking a desired power reference implies that the proposed methodology is a form of flexible power point tracking (FPPT). However, unlike a traditional FPPT, the proposed methodology also provides updated information of the available maximum PV power. Hence, the RPPT fulfills both FPPT and maximum power point tracking (MPPT) functionalities simultaneously. The proposed methodology extracts the MPP information and uses this information to calculate and regulate the amount of PV reserve power. One of the main advantages of the proposed algorithm is its applicability under partial shading conditions. Its effectiveness is demonstrated by experimental results under changing solar irradiance, grid frequency deviation, and partial shading conditions.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Narang, Aditi
Farivar, Glen G.
Tafti, Hossein Dehghani
Ceballos, Salvador
Beniwal, Neha
Pou, Josep
Townsend, Christopher D.
Konstantinou, Georgios
format Article
author Narang, Aditi
Farivar, Glen G.
Tafti, Hossein Dehghani
Ceballos, Salvador
Beniwal, Neha
Pou, Josep
Townsend, Christopher D.
Konstantinou, Georgios
author_sort Narang, Aditi
title Dynamic reserve power point tracking in grid-connected photovoltaic power plants
title_short Dynamic reserve power point tracking in grid-connected photovoltaic power plants
title_full Dynamic reserve power point tracking in grid-connected photovoltaic power plants
title_fullStr Dynamic reserve power point tracking in grid-connected photovoltaic power plants
title_full_unstemmed Dynamic reserve power point tracking in grid-connected photovoltaic power plants
title_sort dynamic reserve power point tracking in grid-connected photovoltaic power plants
publishDate 2023
url https://hdl.handle.net/10356/172740
_version_ 1787136691479248896