2019
DOI: 10.3390/en12030517
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A Virtual Inertia-Based Power Feedforward Control Strategy for an Energy Router in a Direct Current Microgrid Application

Abstract: Due to the uncertainty of the power load and the randomness of distributed generations, low-voltage direct current (LVDC) bus voltage fluctuation will greatly affect the safety of an energy router-enabled direct current (DC) microgrid. In this paper, a power feedforward control strategy based on a dual active bridge (DAB) DC/DC converter in an energy router-based DC Microgrid is proposed. Based on this strategy, the LVDC bus voltage is controlled by virtual inertia control of the DC microgrid, instead of by th… Show more

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Cited by 10 publications
(8 citation statements)
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References 27 publications
(39 reference statements)
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“…Furthermore, in literature, few studies [5,[11][12]] are reported about DC microgrids virtual inertia strategies to improve the DC bus stability. In some manuscripts, DC microgrids (MGs) intervention is also proposed to mitigate the Rate of Change of Voltage (RoCoV) as reported in [5].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, in literature, few studies [5,[11][12]] are reported about DC microgrids virtual inertia strategies to improve the DC bus stability. In some manuscripts, DC microgrids (MGs) intervention is also proposed to mitigate the Rate of Change of Voltage (RoCoV) as reported in [5].…”
Section: Introductionmentioning
confidence: 99%
“…e power feedforward is similar to the current feedforward control, and it feeds forward the disturbance power to the control link to suppress the fluctuation of the bus voltage [18]. For example, Zhi-Lin et al, taking the fluctuation problem of the DC bus caused by the mismatch between output power and load consumption of renewable energy for the DC microgrid into consideration, raised the control method of power feedforward compensation based on the classical dual closed-loop control to lead power disturbance into controller through the feedforward channel, so as to restrain the fluctuation of the bus voltage and reinforce systematic stability [19].…”
Section: Introductionmentioning
confidence: 99%
“…In [16,17], the inertial control of the energy storage terminal is analysed and the traditional droop control is improved, but actual constraints of the converter are ignored. Moreover, various methods, such as feedforward control [18,19], model predictive control [20,21] and so forth are also carried out in virtual inertia control to maintain the stability of the DC bus voltage.…”
Section: Introductionmentioning
confidence: 99%