Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/18095
Title: | Industrial Recommendation of Modeling of Inverter-Based Generators for Power System Dynamic Studies With Focus on Photovoltaic | Authors: | Yamashita, Koji Renner, Herwig Villanueva, Sergio Martinez Lammert, Gustav Aristidou, Petros Martins, Jose Carvalho Zhu, Lingzhi Pabon Ospina, Luis David Van Cutsem, Thierry |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Invertors;Numerical analysis;Photovoltaic power systems;Ppower system dynamic studies;IBG model;Numerical model;Dynamic simulation results;Industrial recommendation;Inverter-based generators;Photovoltaic | Issue Date: | 2018 | Source: | IEEE Power and Energy Technology Systems Journal, 2018, vol. 5 , no.1, pp.1-10 | Volume: | 5 | Issue: | 1 | Start page: | 1 | End page: | 10 | Journal: | IEEE Power and Energy Technology Systems Journal | Abstract: | Dynamic simulations have played an important role in assessing the power system dynamic studies. The appropriate numerical model is the key to obtain correct dynamic simulation results. In addition, the appropriate model including the selection of the individual model component (such as protections, controls, and capabilities) is different depending on the type of phenomena to be observed or examined. However, the proper selection of the model is not an easy task, especially for inverter-based generators (IBGs). Considerable industry experience concerning power system dynamic studies and the dynamics of the IBGs is required for the proper selection of the IBG model. The established CIGRE C4/C6.35/CIRED joint working group (JWG) has gathered a wide variety of experts, which fully cover the required industry experience. The JWG provides the guidance on the model selection for analyzing the phenomena, such as frequency deviation, large voltage deviation, and long-term voltage deviation, individually. This helps to reduce the computational burden, as well as it clarifies the required characteristics/functions that should be represented for the power system dynamic studies with the IBGs. | ISSN: | 23327707 | DOI: | 10.1109/JPETS.2018.2806744 | Rights: | © IEEE | Type: | Article | Affiliation : | Leeds University University of Liege University of Kassel Graz University of Technology Central Research Institute of Electric Power Industry |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
manuscript.PDF | 2.58 MB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
312
Last Week
0
0
Last month
1
1
checked on Nov 21, 2024
Download(s)
43
checked on Nov 21, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.