Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/136953
Title: An algorithm for fast flexible power point tracking in photovoltaic power plants
Authors: Narang, Aditi
Tafti, Hossein Dehghani
Townsend, Christopher D.
Farivar, Glen
Pou, Josep
Konstantinou, Georgios
Vazquez, Sergio
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Narang, A., Tafti, H. D., Townsend, C. D., Farivar, G., Pou, J., Konstantinou, G., & Vazquez, S. (2019). An algorithm for fast flexible power point tracking in photovoltaic power plants. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. doi:10.1109/IECON.2019.8927083
Abstract: Flexible power point tracking (FPPT) is control of active power generated by grid-connected photovoltaic power plants (GCPVPPs) to provide various grid-support functionalities, such as frequency response and voltage support. Fast transient response is required during grid voltage and frequency variations. An algorithm, based on dynamic voltage reference design and model predictive control for the dc-dc converter in GCPVPPs is introduced in this paper. The main novelty of the proposed algorithm is fast dynamic response based on the maximum capacity of the system. This feature enables fast FPPT operation in GCPVPPs. The proposed control algorithm results in several features for the FPPT operation, including: higher bandwidth, low power oscillations during steady-state, flexibility for adding con- straints based on the operation conditions, and ease of implementation without requiring any complex control parameters tuning and design procedure. The transient performance of the proposed algorithm is evaluated under conditions of voltage sag and frequency deviation. Experimental results are also provided to demonstrate the effectiveness of the proposed algorithm when subjected to rapid changes in PV reference power.
URI: https://hdl.handle.net/10356/136953
ISBN: 978-1-7281-4878-6
ISSN: 2577-1647
DOI: 10.1109/IECON.2019.8927083
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/IECON.2019.8927083
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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