Robust Stochastic Stability Analysis Method of DFIG Integration on Power System Considering Virtual Inertia Control

Ma, Jing; Song, Zhanxiang; Zhang, Yongxin; Zhao, Yu; Thorp, James S.

doi:10.1109/tpwrs.2017.2657650

Cited by 30 publications

(4 citation statements)

References 12 publications

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“…Researchers implement the proposed strategy in different scenarios: poolco, bilateral, and contract violations to verify system efficacy. A VIC strategy for DFIG integration with the power system is proposed in [90] that considers WT's stochastic excitation and stochastic parameters for stability analysis. The strategy's reliability is verified in the IEEE four generator, two area system, and the New England 10-machine, 39-bus system.…”

Section: A Intelligent Vic Techniquesmentioning

confidence: 99%

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

et al. 2022

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By replacing conventional generation units with renewable energy sources (RESs), the power system gains an alternate source of future power generation and a better environmental platform. RESs, on the other hand, are unable to provide the required power demand due to poor inertia responses and low-frequency stability. As a result, multiple inertia augmentation control strategies were developed to increase frequency stability and maximize power usage in the grid-integrated renewable energy systems. Accordingly, this study thoroughly reviews existing virtual inertia control (VIC) strategies for improving inertia response and frequency stability. This study investigates 51 VIC approaches regarding required parameters, configurations, key contributions, sources, controllers, and simulation platforms. Furthermore, to emphasize the most promising ones, the VIC approaches are classified as intelligent, adaptive, derivative, coordinated control, and other VIC techniques. The classification approach is followed by the system configuration and the mode of operation of each control scheme. Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. In contrast, adaptive control schemes emphasize the adaptation of control operations. These studies include both the standalone and grid-connected RESs frequency and power control approaches with necessary mathematical modelling and equations, which are rarely available in the recent existing works. The current state of research on improving frequency stability and inertia response in the grid-integrated RESs is discussed. Finally, this literature review reflects the present status of VIC technique research paths, and the categorization and analysis of these approaches demonstrate an extensive insight into the research field.INDEX TERMS Renewable energy, virtual inertia control techniques, synthetic inertia control, frequency stability, intelligent control, adaptive control, derivative control, coordinated control.

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Section: A Intelligent Vic Techniquesmentioning

confidence: 99%

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

et al. 2022

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“…Hence, the determination is based on the approach of signals attained as measurement of voltage, current, phase angle, and other signals. For the distillation of useful data, different approaches of signal processing are utilized 13,14 . In the converter, the measurement of spectrum analysis next to DC components of voltage and current is obtainable, which is based on control method 15,16 .…”

Section: Introductionmentioning

confidence: 99%

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

Stallon¹,

Rajkumar

2021

Int Trans Electr Energ Syst

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Summary In this manuscript, a novel Kernel PCA‐ESMO technique is proposed for protecting the system and diagnosing the exact fault occuring in the DFIG. The proposed method is joined implementation of Kernel principal component analysis (Kernel PCA) and enhanced Spider Monkey Optimization SMO (ESMO) technique, and, hence, it is named Kernel PCA‐ESMO approach. Here, two phases are considered for fault analysis; they are fault identification and diagnosis. Primarily, the first phase identifies the system fault conditions of DFIG in grid‐connected system using Kernel PCA approach. After that, the ESMO classifies the type of fault that has occurred in the DFIG. The major scope of the proposed Kernel PCA‐ESMO method is to guarantee the system with less complexity for fault identification and diagnosis for enhancing the power quality of whole system. The implementation of proposed model is made at MATLAB/Simulink, and implementation is evaluated by existing techniques. The statistic analysis of proposed and existing systems of mean, median, and SD is analyzed. The efficiency of proposed and existing technique is also evaluated. The obtained values for percentage recall and precision that are enhanced using proposed technique are 97.8% and 98%. Consequently, the simulation outcome indicates that the efficiency of proposed technique and implementation of proposed strategy is compared to existing systems.

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“…Therefore, there are some appropriate measurements, which are taken in consideration, to meet the LVRT requirement: To remain connected with the grid and not consume active power during the fault; To protect rotor side converter (RSC) and DC link from transient over current and overvoltage during fault condition; Injection of reactive power at grid connection point in faulty condition. To enhance the FRT of DFIG‐based WECS, there are two main solutions: implementing secondary hardware in the system and upgrading of the controller of DFIG converters. Some of the control schemes like virtual inertia control, demagnetization current method, robust control, flux linkage control, and sliding mode control are suggested for the enhancement of FRT . But, these control methods lead a disadvantage of complexity in tuning of control parameters and practical operation in DFIG system.…”

Section: Introductionmentioning

confidence: 99%

“…Some of the control schemes like virtual inertia control, demagnetization current method, robust control, flux linkage control, and sliding mode control are suggested for the enhancement of FRT. [2][3][4][5][6][7][8][9][10] But, these control methods lead a disadvantage of complexity in tuning of control parameters and practical operation in DFIG system. Therefore, the implementations of the secondary hardware are made for the hazardous voltage sag, as the control system cannot ensure about the complete FRT performance.…”

mentioning

confidence: 99%

Enhancement of low‐voltage ride through of wind energy conversion system using superconducting saturated core fault current limiter

Tripathi

Sahoo

Chatterjee

2018

Int Trans Electr Energ Syst

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Summary For enhancing the fault ride through (FRT) capability of doubly fed induction generator (DFIG), the major concern is to remain connected with the grid for maintaining the grid code. For improving this entity, saturated core fault current limiter (SCFCL)‐based protection system has been used in the DFIG system for protecting it from the fault current during fault conditions. The main features of transformer‐type three‐limb SCFCL is that the Alternating Current (AC) coils embedded across the two limbs, and the Direct Current (DC) coils embedded across the other remaining limb. The main features of SCFCL is that the core is saturated during normal operating condition, and during the fault condition, high current generates sufficient magnetic flux in the AC coil, which drives each core out of the saturation. Because of this, SCFCL operates in high‐permeability zone and increases the impedance of the AC coil, which limits the fault current. In this paper, the above behaviour of SCFCL under normal and faulty condition has been analysed by simulated mathematical modelling and verifying it with the experimental setup. In addition to conserve good FRT performance, the fault consequences in DFIG system such as rotor current, DC link voltage, and torque fluctuations are analysed. Also, the simulation result justifies the efficacy of SCFCL compared with the other conventional schemes.

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Robust Stochastic Stability Analysis Method of DFIG Integration on Power System Considering Virtual Inertia Control

Cited by 30 publications

References 12 publications

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

Enhancement of low‐voltage ride through of wind energy conversion system using superconducting saturated core fault current limiter

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