Accelerated Real-Time Simulations for Testing a Reactive Power Flow Controller in Long-Term Case Studies. (5th June 2020)

• Record Type: Journal Article
• Authors: Sirviö, Katja H.; Mekkanen, Mike; Kauhaniemi, Kimmo; Laaksonen, Hannu; Salo, Ari; Castro, Felipe; Babazadeh, Davood
• Other Names: Li Yang Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2020(2020)
• Publication Date: 2020-06-05
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2020/8265373
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : 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.