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10.1109/IECON43393.2020.9254531guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Application of a Testing Chain Methodology for Improving Power Converter Controllers

Published: 18 October 2020 Publication History

Abstract

The practice of testing power system equipment like converters usually involves simulation, laboratory and field testing in that sequence. Such an approach lacks smooth transition and wide coverage of new services which are being introduced by the smart grid concept. A systematic approach to sequentially test various functionalities may lead to reduced costs and speedup the process from concept to implementation. Testing chain is such an approach where specific capabilities of pure simulation, hardware-in-the-loop, laboratory and field testing are leveraged sequentially to cover wide aspects of the system under investigation. In this study, a test case is exemplary realized aiming to demonstrate the potential of a multi-site testing chain with varied testbeds for generating systematic improvements on the performance of power converter control functions.

References

[1]
H. Farhangi, “The path of the smart grid,” IEEE Power and Energy Magazine, vol. 8, no. 1, pp. 18–28, 2010.
[2]
T. Strasser, F. Andrén, J. Kathanet al., “A review of architectures and concepts for intelligence in future electric energy systems,” IEEE Trans. on Industrial Electronics, vol. 62, no. 4, pp. 2424–2438, 2015.
[3]
H. Lund, P. A. Østergaard, D. Connollyet al., “Energy storage and smart energy systems,” International Journal of Sustainable Energy Planning and Management, vol. 11, pp. 3–14, 2016.
[4]
T. Strasser, F. P. Andrén, G. Lausset al., “Towards holistic power distribution system validation and testing—an overview and discussion of different possibilities,” e & i Elektrotechnik und Informationstechnik, vol. 134, no. 1, pp. 71–77, 2017.
[5]
M. Maniatopoulos, D. Lagos, P. Kotsampopoulos, and N. Hatziargyriou, “Combined control and power hardware in-the-loop simulation for testing smart grid control algorithms,” IET Generation, Transmission & Distribution, vol. 11, no. 12, pp. 3009–3018, 2017.
[6]
R. Brandl, P. Kotsampopoulos, G. Lausset al., “Advanced testing chain supporting the validation of smart grid systems and technologies,” in 2018 IEEE Workshop on Complexity in Engineering (COMPENG), 2018, pp. 1–6.
[7]
N. Ntavarinos, P. Kotsampopoulos, D. T. Lagos, and N. Hatziargyriou, “Hardware in the loop testing of battery-less hybrid systems for off-grid power supply,” in 2019 IEEE Milan PowerTech. IEEE, 2019, pp. 1–6.
[8]
Q. Huang, S. Jing, J. Yi, and W. Zhen, Innovative testing and measurement solutions for smart grid. John Wiley & Sons, 2015.
[9]
M. Schvarcbacher, K. Hrabovská, B. Rossi, and T. Pitner, “Smart grid testing management platform (sgtmp),” Applied Sciences, vol. 8, no. 11, p. 2278, 2018.
[10]
C. Steinbrink, S. Lehnhoff, S. Rohjanset al., “Simulation-based validation of smart grids–status quo and future research trends,” in International Conference on Industrial Applications of Holonic and Multi-Agent Systems. Springer, 2017, pp. 171–185.
[11]
T. Strasser, M. Stifter, F. Andrénet al., “Applying open standards and open source software for smart grid applications: Simulation of distributed intelligent control of power systems,” in 2011 IEEE Power and Energy Society General Meeting, 2011, pp. 1–8.
[12]
P. Kotsampopoulos, D. Lagos, N. Hatziargyriouet al., “A benchmark system for hardware-in-the-loop testing of distributed energy resources,” IEEE Power and Energy Technology Systems Journal, vol. 5, no. 3, pp. 94–103, 2018.
[13]
K. Strunz, E. Abbasi, C. Abbeyet al., “Benchmark systems for network integration of renewable and distributed energy resources,” Task Force C6.04, CIGRE, Technical Brochure 575, 2014.
[14]
K. Heussen, C. Steinbrink, I. F. Abdulhadiet al., “Erigrid holistic test description for validating cyber-physical energy systems,” Energies, vol. 12, no. 14, p. 2722, 2019.
[15]
ERIGrid Consortium, “Testing chain description for testing converter controller,” 2020.
[16]
R. Brundlinger, T. Strasser, G. Lauss¨et al., “Lab tests: Verifying that smart grid power converters are truly smart,” IEEE Power and Energy Magazine, vol. 13, no. 2, pp. 30–42, 2015.
[17]
S. Vazquez, J. I. Leon, L. G. Franqueloet al., “Model predictive control: A review of its applications in power electronics,” IEEE Industrial Electronics Magazine, vol. 8, no. 1, pp. 16–31, 2014.
[18]
F. Andrén, B. Bletterie, S. Kadamet al., “On the stability of local voltage control in distribution networks with a high penetration of inverter-based generation,” IEEE Transactions on Industrial Electronics, vol. 62, no. 4, pp. 2519–2529, 2015.
[19]
F. Andrén, F. Lehfuss, P. Jonkeet al., “Derri common reference model for distributed energy resources–modeling scheme, reference implementations and validation of results,” e & i Elektrotechnik und Informationstechnik, vol. 131, no. 8, pp. 378–385, 2014.
[20]
M. D. Omar Faruque, T. Strasser, G. Lausset al., “Real-time simulation technologies for power systems design, testing, and analysis,” IEEE Power & Energy Techn. Systems Journal, vol. 2, no. 2, pp. 63–73, 2015.
[21]
X. Guillaud, M. O. Faruque, A. Teningeet al., “Applications of real-time simulation technologies in power and energy systems,” IEEE Power and Energy Technology Systems Journal, vol. 2, no. 3, pp. 103–115, 2015.
[22]
F. Bignucolo, A. Cerretti, M. Coppoet al., “Impact of distributed generation grid code requirements on islanding detection in lv networks,” Energies, vol. 10, no. 2, p. 156, 2017.

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            IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
            Oct 2020
            3247 pages

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            Published: 18 October 2020

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