Abstract
High-fidelity electromagnetic transient (EMT) simulation plays a critical role in understanding the dynamic behavior and fast transients involved in operation, control, and protection of multiterminal dc (MTdc) grids. This article proposes a cost-effective high-performance real-time EMT simulation platform for large-scale cross-continental MTdc grids based on graphics processing unit (GPU). Fast dynamic transients from both ac and dc networks are captured in real time with 5$\mu$s time step, using advanced hybrid-discretized modular multilevel converter model, frequency-dependent transmission line model, and EMT-type model of synchronous generators. The proposed simulation platform i) assembles detailed EMT models of all components within an MTdc-ac grid into a single platform. This setup provides a complete simulation solution to capture fast transient signals required for high-bandwidth controller design and protection studies without any compromise; ii) implements the first GPU-based simulation architecture and corresponding algorithms for MTdc-ac grids with real-time performance at scales of 1s; iii) is highly efficient and balances the high utilization of GPU resources and low latency required for the simulation; and iv) outperforms the existing central processing unit- or digital signal processor (DSP)/field-programmable gate array-based simulators in terms of its higher scalability on large-scale MTdc-ac grids and superior price-performance ratio on the hardware. Accuracy and performance of the proposed platform are evaluated with respect to the reference results from power system computer aided design (PSCAD)/EMTdc environment.
Original language | English |
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Article number | 9130908 |
Pages (from-to) | 7002-7011 |
Number of pages | 10 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 68 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2021 |
Funding
This work was supported in part by the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability through its Transformer Resilience and Advanced Components program, and in part by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government= retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-publicaccess-plan). Manuscript received February 5, 2020; revised May 10, 2020; accepted June 8, 2020. Date of publication July 1, 2020; date of current version April 27, 2021. This work was supported in part by the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability through its Transformer Resilience and Advanced Components program, and in part by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-publicaccess-plan). (Corresponding author: Jingfan Sun.) Jingfan Sun and Maryam Saeedifard are with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250 USA (e-mail: [email protected]; [email protected]). The authors would like to acknowledge the support from Kerry Cheung, Program Manager at U.S. Department of Energy. The authors would also like to thank Madhu Chinthavali from Oak Ridge National Laboratory for his support provided to this work.
Funders | Funder number |
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DOE Public Access Plan | |
U.S. Department of Energy | |
Oak Ridge National Laboratory | DE-AC05-00OR22725 |
Keywords
- Graphics processing unit
- multiterminal HVdc systems
- real-time simulation