2019
DOI: 10.1155/2019/4358958
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Finite Control Set Model Predictive Control for Complex Energy System with Large‐Scale Wind Power

Abstract: Complex energy systems can effectively integrate renewable energy sources such as wind and solar power into the information network and coordinate the operation of renewable energy sources to ensure its reliability. In the voltage source converter-based high voltage direct current system, the traditional vector control strategy faces some challenges, such as difficulty in PI parameters tuning and multiobjective optimizations. To overcome these issues, a finite control set model predictive control-based advance… Show more

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Cited by 14 publications
(12 citation statements)
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“…Literature [68] proposed the MPC to improve DFIG system performance under LVRT. Literature [69] introduced the finite control set MPC into the GSC of the WT. Literature [70] gave a detailed analysis of the LVRT of the DFIG system using MPC.…”
Section: Advanced Control Techniquesmentioning
confidence: 99%
“…Literature [68] proposed the MPC to improve DFIG system performance under LVRT. Literature [69] introduced the finite control set MPC into the GSC of the WT. Literature [70] gave a detailed analysis of the LVRT of the DFIG system using MPC.…”
Section: Advanced Control Techniquesmentioning
confidence: 99%
“…Figure 17 shows the output current harmonic spectrums of the DFIG converter under different PI control parameters. 8 Complexity…”
Section: Altering Control Parametersmentioning
confidence: 99%
“…e double-fed wind power generation system has become the mainstream in wind power generation systems because of its small capacity in the eld converter, low cost, and variable-speed constantfrequency operation features [1][2][3][4][5][6]. However, the double-fed wind power generation system contains a power electronic converter, in which the interactions among converters and passive components of the lter can lead to harmonic resonances, thus causing serious harmonic pollution and reducing the power quality [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…As the performance of a DFIG system largely depends on the control, early research was mainly focused on the optimal DFIG control by tuning the controller parameters [6,7]. Emphasis was then gradually moved towards application of nonlinear control techniques [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%