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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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. |
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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 |
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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. |
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School of Electrical and Electronic Engineering |
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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 |
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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 |
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2023 |
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https://hdl.handle.net/10356/172740 |
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1787136691479248896 |