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Comparison of Different Virtual Inertia Control Methods for Inverter-based Generators

Dawei Sun, Hui Liu, Gao Shunan, Linlin Wu, Song Peng, Xiaosheng Wang

2020Journal of Modern Power Systems and Clean Energy61 citationsDOIOpen Access PDF

Abstract

With the rapid development of inverter-based generators (IGs), power grid is faced with critical frequency stability challenges because the existing IGs have no inertia. To equip IGs with inertial response, researchers have proposed several virtual inertia control methods, which can be classified into two categories: virtual synchronous generator (VSG) control and droop control based on rate of change of frequency (ROCOF-droop control). In this paper, the comparison between both virtual inertia control methods is conducted from three perspectives: mathematical model, output characteristic and small-signal stability. State-space models are firstly built to analyze the control mechanism of VSG control and ROCOF-droop control methods. Simulation and eigenvalue analysis are conducted to study the transient responses and oscillation characteristics of both methods, which is helpful to understand the advantages and limitations of existing virtual inertia control methods. Finally, the obtained theoretical results are validated through realtime laboratory (RT-LAB) hardware-in-loop simulation platform.

Topics & Concepts

Voltage droopInertiaControl theory (sociology)InverterStability (learning theory)Computer scienceControl engineeringTransient (computer programming)Low-frequency oscillationGenerator (circuit theory)MicrogridAutomatic frequency controlElectric power systemControl (management)EngineeringPower (physics)Voltage regulatorVoltageTelecommunicationsClassical mechanicsArtificial intelligenceQuantum mechanicsOperating systemElectrical engineeringMachine learningPhysicsPower Systems and Renewable EnergyMicrogrid Control and OptimizationWind Turbine Control Systems
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