Optimization for DFIG Fast Frequency Response With Small-Signal Stability Constraint

Huang, Junkai; Yang, Zhifang; Yu, Jie; Liu, Juelin; Xu, Yan; Wang, Xuebin

doi:10.1109/tec.2021.3051944

Cited by 18 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…H min indicates the minimum inertia value for stable operation of the system, and it is expressed as follows 23 : \begin{gathered} \sum\limits_{{m=1}}^{{{N_{{\text{DFG }}}}}} {{K_{\omega ,m}}} {S_{{\text{DFIG }},m}} \geqslant 4\pi \h ll \\ {\text{ }}\left( {{H_{\hbox{min} }}\left( {\sum\limits_{{n=1}}^{{{N_{{\text{SG}}}}}} {{S_{{\text{SG}},n}}} +\sum\limits_{{m=1}}^{{{N_{{\text{DFIG}}}}}} {{S_{{\text{DFIG}},m}}} } \right) -\sum\limits_{{n=1}}^{{{N_{{\text{SG}}}}}} {{H_{\operatorname{SG} ,n}}} {S_{\operatorname{SG} ,n}}} \right) \h ll \\ \end{gathered} 39…”

Section: Parameter Analysismentioning

confidence: 99%

Effect of DFIG control parameters on small signal stability in power systems

Qi,

Jiahui,

Haiyun

et al. 2022

Preprint

View full text Add to dashboard Cite

The doubly-fed induction generator (DFIG) with virtual inertia control and reactive damping control gives a renewable energy generation system inertia and damping characteristics similar to those of a thermal power plant, and the parameters of the control strategy have a direct impact on the small-signal stability of the system. This paper firstly introduces the operating characteristics and control strategies of DFIG-based damping control and virtual inertia control, establishes a small-signal model of the control-based DFIG integrated interconnected system, and investigates the effects of virtual inertia and reactive damping values on the small-signal stability of the system; then, the maximum damping ratio of the interval oscillation mode in small disturbance analysis is taken as the optimization objective, and the control parameters are the optimization variables. An optimization method of inertia and damping parameters is established for improving the small disturbance stability of the system. The results show that the optimization procedure could improve the damping ratio of the interval oscillation mode while ensuring the system frequency. The effects of virtual inertia and reactive damping values on the small signal stability of the system are investigated, and an optimal allocation model and method for virtual inertia used to improve the small disturbance stability of the system is proposed.

show abstract

Section: Parameter Analysismentioning

confidence: 99%

Effect of DFIG control parameters on small signal stability in power systems

Qi,

Jiahui,

Haiyun

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, it is necessary to consider the effect of time delay when optimizing the auxiliary frequency controller. In order to maximize the frequency support capability, some optimized frequency regulation schemes of WT utilizing rotor kinetic energy are proposed in [20] and [21]. However, the rotor speed constraint is not considered, which may cause the rotor speed to be lower than the safety value and result in a secondary frequency drop accident.…”

Section: Introductionmentioning

confidence: 99%

Optimized Auxiliary Frequency Control of Wind Farm Based on Piecewise Reduced-order Frequency Response Model

Zhang,

Zhao,

et al. 2024

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

With the increasing wind power penetration in the power system, the auxiliary frequency control (AFC) of wind farm (WF) has been widely used. The traditional system frequency response (SFR) model is not suitable for the wind power generation system due to its poor accuracy and applicability. In this paper, a piecewise reduced-order frequency response (P-ROFR) model is proposed, and an optimized auxiliary frequency control (O-AFC) scheme of WF based on the P-ROFR model is proposed. Firstly, a full-order frequency response model considering the change in operating point of wind turbine is established to improve the applicability. In order to simplify the fullorder model, a P-ROFR model with second-order structure and high accuracy at each frequency response stage is proposed. Based on the proposed P-ROFR model, the relationship between the frequency response indexes and the auxiliary frequency controller coefficients is expressed explicitly. Then, an O-AFC scheme with the derived explicit expression as the optimization objective is proposed in order to improve the frequency support capability on the premise of ensuring the full release of the rotor kinetic energy and the full use of the effect of time delay on frequency regulation. Finally, the effectiveness of the proposed P-ROFR model and the performance of the proposed O-AFC scheme are verified by simulation studies.

show abstract

“…Improper selection of pitch angle control parameters will also affect the small signal stability of the system. By optimizing the PI parameters of pitch angle control link, the damping characteristics of the system can be improved [20][21].…”

Section: Introductionmentioning

confidence: 99%

Small Signal Stability Analysis and Optimize Control of Large-Scale Wind Power Collection System

Jiang

Yang

et al. 2022

IEEE Access

View full text Add to dashboard Cite

The frequency security problem of power system is highlighted as wind power penetration increases yearly, the eigenvalue analysis method based on the deterministic model is difficult to accurately evaluate the small signal stability of power system. The Weibull probability distribution is used to describe the uncertainty of wind speed. In this paper, the shape and scale parameters of the Weibull distribution are calculated by using the maximum likelihood approach and combining with the measured data, and the stability of small signal with large-scale wind power access is analyzed by the probability distribution method. Meanwhile, considering that the lack of inertia of the system caused by high-penetration wind power access can easily lead to the problem of frequency stability, it is proposed to take the maximum damping ratio of regional oscillation mode as optimization objective, virtual inertia and pitch angle control parameters as variables, and frequency stability as constraints, an small signal stability optimization model of wind power access to power system is established according to the proposed probabilistic small signal stability model. The sensitivity algorithm is used to obtain the optimal solution for the virtual inertia and pitch angle control parameters, and the validity of the proposed method and model is verified by two-area four-machine examples. Simulation results show that by optimizing the virtual inertia and pitch angle parameters of wind turbines, the small signal stability of the high-penetration wind power access system can be improved under the condition of ensuring sufficient inertia of the system, which provides a certain theoretical basis for the safe and reliable operation of wind power large-scale cluster access power system.INDEX TERMS Uncertainty of wind power output; maximum likelihood estimation; small signal stability; virtual inertia; pitch angle control; damping ratio; sensitivity analysis

show abstract

Optimization for DFIG Fast Frequency Response With Small-Signal Stability Constraint

Cited by 18 publications

References 28 publications

Effect of DFIG control parameters on small signal stability in power systems

Effect of DFIG control parameters on small signal stability in power systems

Optimized Auxiliary Frequency Control of Wind Farm Based on Piecewise Reduced-order Frequency Response Model

Small Signal Stability Analysis and Optimize Control of Large-Scale Wind Power Collection System

Contact Info

Product

Resources

About