Jump to ContentJump to Main Navigation
Show Summary Details
More options …

International Journal of Emerging Electric Power Systems

Editor-in-Chief: Sidhu, Tarlochan

Ed. by Khaparde, S A / Rosolowski, Eugeniusz / Saha, Tapan K / Gao, Fei


CiteScore 2018: 0.86

SCImago Journal Rank (SJR) 2018: 0.220
Source Normalized Impact per Paper (SNIP) 2018: 0.430

Online
ISSN
1553-779X
See all formats and pricing
More options …
Volume 14, Issue 6

Issues

Review of RT-LAB and Steps Involved for Implementation of a Simulink Model from MATLAB to REAL-TIME

Suresh Mikkili
  • Corresponding author
  • Department of Electrical and Electronics Engineering, National Institute of Technology, Goa, 403401, India
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Anup Kumar Panda
Published Online: 2013-11-14 | DOI: https://doi.org/10.1515/ijeeps-2012-0031

Abstract

In recent days, every researcher wants to develop his/her model in real-time. Simulation tools have been widely used for the design and improvement of electrical systems since the mid-twentieth century. The evolution of simulation tools has progressed in step with the evolution of computing technologies. Now a days, computing technologies have improved dramatically in performance and become widely available at a steadily decreasing cost. Consequently, simulation tools have also seen dramatic performance gains and steady cost decreases. Researchers and engineers now have access to affordable, high-performance simulation tools that were previously too cost prohibitive, except for the largest manufacturers and utilities.This article has introduced a specific class of digital simulator known as a real-time simulator by answering the questions “What is real-time simulation?” “Why is it needed” and “How it works”. The latest trend in real-time simulation consists of exporting simulation models to FPGA. In this article, the steps involved for implementation of a model from MATLAB to REAL-TIME are provided in detail. The detailed real-time results are presented to support the feasibility of real-time digital simulator.

Keywords: RT-LAB; MATLAB; HIL; FPGA; real-time implementation; Type-2 FLC; harmonics; SHAF

References

  • 1.

    RT-LAB Professional [online]. Available at: http://www.opal-rt.com/product/rt-lab-professional, 5 September 2012.

  • 2.

    Panda AK, Mikkili S. Fuzzy logic controller based shunt active filter control strategies for power quality improvement using different fuzzy M.F.s. Int J Emerg Electric Power Syst 2012;13:Article 2. DOI:10.1515/1553-779X.2942.CrossrefGoogle Scholar

  • 3.

    Bélanger J, Venne P, Paquin JN. The what, where and why of real-time simulation, in Planet RT, October 2010, 37–49.Google Scholar

  • 4.

    Abourida S, Dufour C, Bélanger J, Lapointe V. Real-time, PC-based simulator of electric systems and drives. International Conference on Power Systems Transients – IPST, New Orleans, USA, 2003.Google Scholar

  • 5.

    Real time simulation [online]. Available at: http://en.wikipedia.org/wiki/Real-time_Simulation.

  • 6.

    Do VQ, Soumagne J-C, Sybille G, Turmel G, Giroux P, Cloutier G, et al. Hypersim, an integrated real-time simulator for power networks and control systems. ICDS’99, Vasteras, Sweden, May 1999, 1–6.Google Scholar

  • 7.

    Papini M, Baracos P.. Real-time simulation, control and HIL with COTS computing clusters. AIAA Modeling and Simulation Technologies Conference, Denver, CO, August 2001.Google Scholar

  • 8.

    Matar M, Iravani R. FPGA implementation of the powerelectronic converter model for real-time simulation ofelectromagnetic transients. IEEE Trans Power Deliv 2010;25:852–60.Web of ScienceCrossrefGoogle Scholar

  • 9.

    Hollman JA, Marti JR. Real time network simulation with PC-cluster. IEEE Trans Power Syst 2008;18:563–9.Google Scholar

  • 10.

    Mikkili S, Panda AK. Real-time implementation of PI and fuzzy logic controllers based shunt active filter control strategies for power quality improvement. Int J Electrical Power Energy Syst 2012;43:1114–26.Web of ScienceCrossrefGoogle Scholar

  • 11.

    Etxeberria-Otadui I, Manzo V, Bacha S, Baltes F.. Generalized average modelling of FACTS for real time simulation in ARENE. IEEE 28th Annual Conference of the Industrial Electronics Society (IECON 02), 2002;2:864–9.Google Scholar

  • 12.

    Bélanger J, Lapointe V, Dufour C, Schoen L.. EMEGAsim: an open high-performance distributed real-time power grid simulator. Architecture and specification. Presented at the International Conference on Power Systems (ICPS’07), Bangalore, India, December 12–14, 2007.Google Scholar

  • 13.

    Dufour C, Dumur G, Paquin J-N, Belanger J.. A multicore pc-based simulator for the hardware-in-the-loop testing of modern train and ship traction systems. 13th Power Electronics and Motion Control Conference (EPE-PEMC 2008), Poznan, Poland, 1–3 September, 2008, 1475–80.Google Scholar

  • 14.

    Sybille G, Le-Huy H.. Digital simulation of power systems and power electronics using the MATLAB/simulink power system block set. IEEE Power Engineering Society Winter Meeting, 2000, Singapore, 2000;4:2973–81.Google Scholar

  • 15.

    Auger D.. Programmable hardware systems using model-based design. 2008 IET and Electronics Weekly Conference on Programmable Hardware Systems, London, 2008, 1–12.Google Scholar

  • 16.

    Cécile J-F, Schoen L, Lapointe V, Abreu A, Bélanger J.A Distributed Real-Time Framework for Dynamic Management of Heterogeneous Co-simulations, 2006. www.opal-rt.com. [Online]. Available at: http://www.opalrt.com/technical- document/distributed-real-time frame work dynamic management heterogeneous co-simulations.

About the article

Published Online: 2013-11-14


Citation Information: International Journal of Emerging Electric Power Systems, Volume 14, Issue 6, Pages 641–658, ISSN (Online) 1553-779X, ISSN (Print) 2194-5756, DOI: https://doi.org/10.1515/ijeeps-2012-0031.

Export Citation

©2013 by Walter de Gruyter Berlin / Boston.Get Permission

Comments (0)

Please log in or register to comment.
Log in