Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/172012
Title: | Comparative analysis of power ramp rate control strategies for photovoltaic systems | Authors: | Yan, Hein Wai Liang, Gaowen Rodriguez, Ezequiel Beniwal, Neha Farivar, Glen G. Pou, Josep |
Keywords: | Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Engineering::Electrical and electronic engineering::Power electronics |
Issue Date: | 2023 | Source: | Yan, H. W., Liang, G., Rodriguez, E., Beniwal, N., Farivar, G. G. & Pou, J. (2023). Comparative analysis of power ramp rate control strategies for photovoltaic systems. 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023). https://dx.doi.org/10.1109/IECON51785.2023.10312122 | Conference: | 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023) | Abstract: | Intermittent changes in irradiance caused by passing clouds inevitably lead to fluctuations in photovoltaic (PV) power generation. To ensure the stability of a power grid with integrated solar PV generation, a battery energy storage system (BESS) is an intrinsic solution to effectively process the PV power before transmitting it into the grid. Alternatively, a PV software-based ramp rate (RR) control can be applied to mitigate the PV power fluctuations without any BESS, which is known to be cost-effective. The contribution of this paper is to compare various BESS-based and cost-effective software-based RR control strategies operating with real-time measured information, and analyze their effectiveness in regulating the PV power fluctuations. Furthermore, this paper studies the BESS utilization behavior among hardware-based control strategies, and also provides insights into which strategy is more appropriate for specific applications. The investigations are carried out through simulation case studies with a real-field one-day fluctuated irradiance profile. | URI: | https://hdl.handle.net/10356/172012 | ISBN: | 979-8-3503-3182-0 | ISSN: | 2577-1647 | DOI: | 10.1109/IECON51785.2023.10312122 | Schools: | School of Electrical and Electronic Engineering | Research Centres: | Energy Research Institute @ NTU (ERI@N) | Rights: | © 2023 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/IECON51785.2023.10312122. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Conference Papers |
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IECON2023.pdf | 1.15 MB | Adobe PDF | ![]() View/Open |
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