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Τίτλος: Industrial Recommendation of Modeling of Inverter-Based Generators for Power System Dynamic Studies With Focus on Photovoltaic
Συγγραφείς: 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
Λέξεις-κλειδιά: Invertors;Numerical analysis;Photovoltaic power systems;Ppower system dynamic studies;IBG model;Numerical model;Dynamic simulation results;Industrial recommendation;Inverter-based generators;Photovoltaic
Ημερομηνία Έκδοσης: 2018
Πηγή: 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
Περιοδικό: IEEE Power and Energy Technology Systems Journal 
Περίληψη: 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 
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