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  4. Accelerated Real-Time Simulations for Testing a Reactive Power Flow Controller in Long-Term Case Studies
 
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Accelerated Real-Time Simulations for Testing a Reactive Power Flow Controller in Long-Term Case Studies

Publikationstyp
Journal Article
Date Issued
2020-06-05
Sprache
English
Author(s)
Sirviö, Katja H.  
Mekkanen, Mike  
Kauhaniemi, Kimmo  
Laaksonen, Hannu  
Salo, Ari  
Castro, Felipe  
Babazadeh, Davood  orcid-logo
TORE-URI
http://hdl.handle.net/11420/8744
Journal
Journal of electrical and computer engineering  
Volume
2020
Start Page
1
End Page
17
Article Number
8265373
Citation
Journal of Electrical and Computer Engineering (2020): 8265373 (2020-06-05)
Publisher DOI
10.1155/2020/8265373
Scopus ID
2-s2.0-85086705898
This paper presents the development of an accelerated real-time cosimulation and testing platform, especially for long-term simulations of power systems. The platform is planned to be utilized in the development and testing of active network management functions for microgrids and smart grids. Long-term simulations are needed in order to study, for example, the potential weekly, monthly, or yearly usage of distribution-network-connected distributed energy resources for different technical flexibility services. In order to test new algorithms in long-term study cases, real-time simulations or hardware-in-the-loop tests should be accelerated. This paper analyzes the possibilities and challenges of accelerated long-term simulations in studying the potential use of a large-scale wind turbine for reactive power flow control between distribution system operator (DSO) and transmission system operator (TSO) networks. To this end, the reactive power flow control is studied for different voltage levels (HV and MV) in the Sundom Smart Grid in Vaasa, Finland. The control of reactive power flow between HV and MV networks is realized with a reactive power window control algorithm for a 3.6 MW MV-network-connected wind turbine with a full-scale power converter. The behaviour of the reactive power controller during long-term simulations is studied by offline and real-time simulations. Moreover, the real-time simulations are performed with both software-in-the-loop and controller-hardware-in-the-loop.
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