2022
DOI: 10.3390/en15155586
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Robust Output Feedback Control of the Voltage Source Inverter in an AC Microgrid

Abstract: This paper presents the mathematical model and control of the voltage source inverter (VSI) connected to an alternating current (AC) microgrid. The VSI used in this work was a six-switch three-phase PWM inverter, whose output voltages were controlled in a synchronous (dq) reference frame via a sliding mode control strategy. The control strategy required only output voltages; other states of the system were estimated by using a high-gain observer. The power-sharing among multiple inverters was achieved by solvi… Show more

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Cited by 2 publications
(3 citation statements)
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References 55 publications
(71 reference statements)
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“…In Figure 2, the control system of master VSI controls the voltage at PCC and tracks the following reference voltages shown in Equation (28). The control scheme of master VSI is discussed in [18].…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In Figure 2, the control system of master VSI controls the voltage at PCC and tracks the following reference voltages shown in Equation (28). The control scheme of master VSI is discussed in [18].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…A microgrid can be operated in either grid-connected mode or in islanded mode [13][14][15], and VSI can be controlled in either voltage control mode (VCM) or in power control mode (PCM) [16]. In the islanded mode of operation, either all VSIs operate in VCM with power sharing achieved by solving optimal power flow equations [17,18] or by using the droop control method [19][20][21] or by operating in a master-slave configuration. In the master-slave configuration, a master VSI operates in VCM, and other VSIs operate in PCM [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…However, they are mathematically complex and computationally time consuming [ 27 , 28 , 29 ]. Recently, the improved sliding mode reaching law (ISMRL) has provided a terminable system state convergence time to reject the steady-state error (i.e., the terminable time for the system trajectory to reach the sliding mode region in the presence of uncertainty) [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. However, it should be noted that even if ISMRL makes the solar power generation system achieve the expected control effect, it is easy for the solar array to become partially shielded by buildings, trees, dust, etc.…”
Section: Introductionmentioning
confidence: 99%