2023
DOI: 10.1016/j.isatra.2022.07.021
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Robust model predictive power control for three-phase VSRs under unbalanced grid

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Cited by 1 publication
(3 citation statements)
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“…Although article [19] pointed out that parameter uncertainty had a great impact on the performance of the DAB DC-DC converter, no solution was given. The parameter uncertainty is unavoidable in practical applications [25,26], because not only the exact parameter value of the element is difficult to measure, but also the values of some elements are time-variant according to the working condition, for example, the inductance value varies with the flowing current, or the resistance value is varying according to the temperature. Consequently, the performance of the existing MPCs degrades due to the parameter uncertainty in practical applications, which is used to be overlooked.…”
Section: Introductionmentioning
confidence: 99%
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“…Although article [19] pointed out that parameter uncertainty had a great impact on the performance of the DAB DC-DC converter, no solution was given. The parameter uncertainty is unavoidable in practical applications [25,26], because not only the exact parameter value of the element is difficult to measure, but also the values of some elements are time-variant according to the working condition, for example, the inductance value varies with the flowing current, or the resistance value is varying according to the temperature. Consequently, the performance of the existing MPCs degrades due to the parameter uncertainty in practical applications, which is used to be overlooked.…”
Section: Introductionmentioning
confidence: 99%
“…To deal with such a problem, a robust model predictive power control (MPPC) method for three-phase voltage source rectifiers was proposed to improve the robustness of the controller under circuit parameters uncertainty by adding a robust item into the mathematical model [26]. Inspired by article [26], this paper designs a robust item in the prediction model of DAB converters.…”
Section: Introductionmentioning
confidence: 99%
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