Real-Time Coupling of Geographically Distributed Research Infrastructures: Taxonomy, Overview and Real-World Smart Grid Applications
M.H. Syed (University of Strathclyde)
E. Guillo-Sansano (University of Strathclyde)
Y. Wang (Rolls-Royce)
S. Vogel (RWTH Aachen University)
P. Palensky (TU Delft - Intelligent Electrical Power Grids)
G. M. Burt (University of Strathclyde)
Y. Xu (Nanyang Technological University)
A Monti (RWTH Aachen University)
R. Hovsapian (National Renewable Energy Laboratory)
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Abstract
Novel concepts enabling a resilient future power system and their subsequent experimental evaluation are experiencing a steadily growing challenge: large scale complexity and questionable scalability. The requirements on a research infrastructure (RI) to cope with the trends of such a dynamic system therefore grow in size, diversity and costs, making the feasibility of rigorous advancements questionable by a single RI. Analysis of large scale system complexity has been made possible by the real-time coupling of geographically separated RIs undertaking geographically distributed simulations (GDS), the concept of which brings the equipment, models and expertise of independent RIs, in combination, to optimally address the challenge. This article presents the outputs of IEEE PES Task Force on Interfacing Techniques for Simulation Tools towards standardization of GDS as a concept. First, the taxonomy for setups utilized for GDS is established followed by a comprehensive overview of the advancements in real-time couplings reported in literature. The overview encompasses fundamental technological design considerations for GDS. The article further presents four application oriented case studies (real-world implementations) where GDS setups have been utilized, demonstrating their practicality and potential in enabling the analysis of future complex power systems.