2019
DOI: 10.1049/iet-rpg.2019.0389
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Effects analysis of excitation circuit on power control for VSG: a design‐oriented study

Abstract: Reactive power control loop (RPCL) in virtual synchronous generator (VSG) plays the role of excitation circuit in conventional SG. The control strategy improvement or parameters configuration method of RPCL is always the emphasis of analysis. However, the impacts of RPCL on VSG system performance are usually overlooked. On the basis of that, this study aims to investigate the effects of RPCL on power control performance. First, a simplified SG model is established and implemented to VSG. Then, VSG system model… Show more

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Cited by 5 publications
(8 citation statements)
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“…Content may change prior to final publication. the output voltage of the VSG [7][8][9][10]. However, many PI controllers are required, which makes the system difficult to design and debug.…”
Section: B Power Regulationmentioning
confidence: 99%
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“…Content may change prior to final publication. the output voltage of the VSG [7][8][9][10]. However, many PI controllers are required, which makes the system difficult to design and debug.…”
Section: B Power Regulationmentioning
confidence: 99%
“…Here, it is assumed that the current meet the condition shown in (7) as the amplitude and frequency of the current are changed slowly during a control period. To enhance the fault-tolerant operation ability of the VSG and achieve a comparable performance without using the inductor current sensor, a new current sensor-less VSG-MPC scheme is proposed as follows based on (7).…”
Section: B Inductor Current Observer Designmentioning
confidence: 99%
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“…To promote grid support performance, other novel control schemes are also proposed in this Special Issue. Paper [13] analyses the impact of reactive power excitation coefficient effects on dynamic and steady‐state performance of system power control and presents experimental verification results. Paper [14] presents a parameter tuning for dynamic digital twins in an inverter‐dominated distribution grid based on the neural network.…”
Section: Topic A: Converter Controlmentioning
confidence: 99%