Comparative analysis of current control techniques to support virtual inertia applications

Ujjwol Tamrakar; Dipesh Shrestha; Naresh Malla; Zhen Ni; Timothy M. Hansen; Indraman Tamrakar; Reinaldo Tonkoski

doi:10.3390/app8122695

Comparative analysis of current control techniques to support virtual inertia applications

Ujjwol Tamrakar, Dipesh Shrestha, Naresh Malla, Zhen Ni, Timothy M. Hansen, Indraman Tamrakar, Reinaldo Tonkoski

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

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.

Original language	English
Article number	2695
Journal	Applied Sciences (Switzerland)
Volume	8
Issue number	12
DOIs	https://doi.org/10.3390/app8122695
State	Published - 19 Dec 2018
Externally published	Yes

Keywords

Current control
Frequency stability
Grid-connected inverter
Power system stability
Virtual inertia

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10.3390/app8122695

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abstract = "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.",

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AU - Tamrakar, Ujjwol

AU - Shrestha, Dipesh

AU - Malla, Naresh

AU - Ni, Zhen

AU - Hansen, Timothy M.

AU - Tamrakar, Indraman

AU - Tonkoski, Reinaldo

PY - 2018/12/19

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AB - 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.

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Comparative analysis of current control techniques to support virtual inertia applications

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