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Open AccessFeature PaperArticle

Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

1
Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57007, USA
2
Primus Power, Hayward, CA 94545, USA
3
Schweitzer Engineering Laboratories, Pullman, WA 99163, USA
4
Department of Electrical Engineering, Tribhuvan University, Kathmandu 44600, Nepal
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in IEEE 6th International Conference on Power Systems (ICPS), New Delhi, India, 4–6 March 2016.
Appl. Sci. 2018, 8(12), 2695; https://doi.org/10.3390/app8122695
Received: 15 November 2018 / Revised: 7 December 2018 / Accepted: 13 December 2018 / Published: 19 December 2018
(This article belongs to the Section Energy)
The rapid transition towards an inverter-dominated power system has reduced the inertial response capability of modern power systems. As a solution, inverters are equipped with control strategies, which can emulate inertia by exchanging power with the grid based on frequency changes. This paper discusses the various current control techniques for application in these systems, known as virtual inertia systems. Some classic control techniques like the proportional-integral, the proportional-resonant, and the hysteresis control are presented first, followed by the design and discussion of two more advanced control techniques based on model prediction and machine learning, respectively. MATLAB/Simulink-based simulations are performed, and results are presented to compare these control techniques in terms of harmonic performance, switching frequency, and transient response. View Full-Text
Keywords: current control; frequency stability; grid-connected inverter; power system stability; virtual inertia current control; frequency stability; grid-connected inverter; power system stability; virtual inertia
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MDPI and ACS Style

Tamrakar, U.; Shrestha, D.; Malla, N.; Ni, Z.; Hansen, T.M.; Tamrakar, I.; Tonkoski, R. Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications. Appl. Sci. 2018, 8, 2695.

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