Advanced Control of DFIG to Enhance the Transient Voltage Support Capability

Shen, Yue; Liang, Liqing; Cui, Mingjian; Shen, Feifan; Zhang, Bin; Cui, Tongtong

doi:10.1061/(asce)ey.1943-7897.0000529

Cited by 9 publications

(8 citation statements)

References 37 publications

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“…dc , dc , and L are the DC voltage, DC input current, and DC output current, respectively. More details on the structure of the GS-VSC can be found in [24][25][26][27].…”

Section: Discrete Predicted Model Of the Gs-vscmentioning

confidence: 99%

Finite Control Set Model Predictive Control for Complex Energy System with Large‐Scale Wind Power

et al. 2019

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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 advanced control strategy is proposed. Based on the discrete mathematical model of the grid-side voltage source converter, the proposed strategy optimizes a value function with errors of current magnitudes to predict switching status of the grid-side converter. Moreover, the abilities of the system in resisting disturbances and fault recovery are enhanced by compensating delay and introducing weight coefficients. The complex energy system in which the wind power is delivered by the voltage source converter-based high voltage direct current system is modeled by Simulink and simulation results show that the proposed strategy is superior to the tradition PI control strategy under various situations, such as wind power fluctuation and fault occurrences.

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“…dc , dc , and L are the DC voltage, DC input current, and DC output current, respectively. More details on the structure of the GS-VSC can be found in [24][25][26][27].…”

Section: Discrete Predicted Model Of the Gs-vscmentioning

confidence: 99%

Finite Control Set Model Predictive Control for Complex Energy System with Large‐Scale Wind Power

et al. 2019

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“…Two back-to-back PW-modulated converters are used for AC excitation through a DC link. Effective control of converters enables variable-speed constant-frequency operation and maximum wind energy tracking within a certain range [10,19,20]. e harmonic sources of the double-fed wind power generation system mainly include the harmonics caused by the asynchronous motor itself and the harmonics caused by the converter modulation [14].…”

Section: Harmonic Source Analysis Of Double-fed Wind Power Generationmentioning

confidence: 99%

Harmonic Modeling and Experimental Validation of the Converters of DFIG‐Based Wind Generation System

et al. 2019

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The double-fed induction wind generator- (DFIG-) based wind generation system contains power electronic converters and filter capacitor and inductor, which will bring about high-frequency harmonics under the influence of controllers. Aiming at this problem, this paper studies the relation between the output current and the harmonic source at grid-side and rotor-side converters based on their control features in the DFIG system. Furthermore, the harmonic equivalent models of these two converters are built, and the influence of different factors on harmonic features is explored from four perspectives, i.e., modulation method, altering controller parameters, altering output power, and the unbalance of three-phase voltage. Finally, the effectiveness of the proposed model is verified through the 2 MW DFIG real-time hardware-in-the-loop test platform by StarSim software and real test data, respectively.

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“…Low-frequency load shedding is an important part of the "third line of defense" [2], which is an effective measure to prevent frequency collapse and is widely used in power systems [3,4]. However, as an important indicator to measure the safe and stable operation of the power system, the dynamic frequency characteristics of the power system become more complicated with the change of power grid structure [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Influence of Renewable Generator Frequency Endurance Capability on Low-Frequency Load Shedding: A Hunan Case Study

et al. 2020

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With the rapid development of renewable generators such as distributed photovoltaic and profound changes of the power structure, this paper analyzes the frequency characteristics of the power system with high penetration of renewable generations in the process of low-frequency load shedding and discusses the influence of the distributed renewable generator frequency endurance capabilities on the implementation effect of low-frequency load shedding in detail. Finally, the influences of the distributed renewable generator frequency endurance capability and the capacities of the distributed renewable generator on frequency response characteristics of an actual Hunan power grid are simulated. The simulation results show that more distributed photovoltaic capacity without frequency endurance capability leads to deeper frequency drops after the disturbance and requires more basic rounds of load shedding. When the penetration rate of distributed photovoltaic is too high, it may cause load shedding, resulting in power grid load losses and, at the same time, leading to an overshoot phenomenon in the process of frequency recovery. Therefore, the influence of distributed photovoltaic on the control of low-frequency load shedding should be considered when designing low-frequency load shedding schemes for the power grid with high penetration of distributed photovoltaic.

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Advanced Control of DFIG to Enhance the Transient Voltage Support Capability

Cited by 9 publications

References 37 publications

Finite Control Set Model Predictive Control for Complex Energy System with Large‐Scale Wind Power

Finite Control Set Model Predictive Control for Complex Energy System with Large‐Scale Wind Power

Harmonic Modeling and Experimental Validation of the Converters of DFIG‐Based Wind Generation System

Analysis of the Influence of Renewable Generator Frequency Endurance Capability on Low-Frequency Load Shedding: A Hunan Case Study

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