RT Journal Article
T1 Dynamic Reserve Power Point Tracking in Grid-Connected Photovoltaic Power Plants
A1 Narang, Aditi
A1 Farivar, Glen G.
A1 Tafti, Hossein Dehghani
A1 Ceballos, Salvador
A1 Beniwal, Neha
A1 Pou, Josep
A1 Townsend, Christopher D.
A1 Konstantinou, Georgios
AB 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.
SN 0885-8993
YR 2023
FD 2023-05-01
LK https://hdl.handle.net/11556/4320
UL https://hdl.handle.net/11556/4320
LA eng
NO 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 , vol. 38 , no. 5 , pp. 5939-5951 . https://doi.org/10.1109/TPEL.2023.3240186
NO Publisher Copyright: © 2022 IEEE.
DS TECNALIA Publications
RD 28 jul 2024