Dynamic Frequency Support from a DFIG-Based Wind Turbine Generator via Virtual Inertia Control

Yang, Dejian; Jin, Enshu; You, Jiahan; Hua, Liu

doi:10.3390/app10103376

Cited by 21 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The suggested technique considers multiple frequency coefficients to maintain the frequency level under varied load scenarios. Reference [120] proposes another VIC approach for DFIG-based WTs to provide frequency stability in the microgrid. The results of simulations for various operating circumstances offer a more reliable approach than other approaches.…”

Section: Figure 9 (Continued)mentioning

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

View full text Add to dashboard Cite

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.

show abstract

Section: Figure 9 (Continued)mentioning

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

View full text Add to dashboard Cite

show abstract

“…Wind power plants in operation have a certain amount of kinetic energy available in the rotating blade, gear and generator, allowing the short-term power output to increase by reducing the rotational speed of the turbine. It has been shown that wind power plants are capable of delivering this kind of active power service [37][38][39].…”

Section: Vsm Control In the Wind Power Plantsmentioning

confidence: 99%

Fuzzy‐based frequency security evaluation of wind‐integrated power systems

Steinkohl

Peyghami

Wang

et al. 2021

IET Energy Syst Integration

View full text Add to dashboard Cite

The transition to renewable energy-based power systems is fast progressing. One of the main challenges in keeping a power system with high operational reliability is to maintain the system frequency. As synchronous generator units are being replaced with powerelectronic converters, the rotating mass and the system inertia are decreasing. Virtual synchronous machine (VSM) control is a modern control technique that aims to compensate for the reduction in inertia. The usage of power electronic-based converter units equipped with VSM control has to be managed and scheduled by system operators. An assessment of the operational frequency reliability is used to evaluate different service usages. A method is proposed that allows the comparison of different frequency management strategies. The proposed method uses fuzzy logic to evaluate the system risk for abnormal frequency and the system effort in the form of frequency control usage. This allows to quickly compare different frequency management strategies whilst keeping in mind many different reliability indices. The proposed method is validated with a modified IEEE Reliability Test System with integrated wind power capacity.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

show abstract

“…For a long time, researchers have conducted a series of studies on reducing the frequency nadir (FN) and the rate of change of frequency (ROCOF) of the power system based on the introduction of inertial control (Mandal and Chatterjee, 2021) (Xu et al, 2019). In order to get rid of the inherent adverse effects of the inertial control strategy with constant parameters, Hwang et al (2016), Pradhan et al (2018), Wu et al (2018), and Yang et al (2020) proposed an inertial control method based on dynamic gain to improve the frequency stability of the system under fixed wind conditions. Sato et al (2022) designed a novel virtual inertia control strategy based on fuzzy logic controller (FLC) to reduce the FN.…”

Section: Introductionmentioning

confidence: 99%

Dynamic synthetic inertial control method of wind turbines considering fatigue load

et al. 2023

View full text Add to dashboard Cite

This paper proposes a dynamic synthetic inertia control method, considering the fatigue loads of the wind turbine. The control objectives include reducing the rate of change of frequency and frequency nadir of the power system and the fatigue load of the shaft and tower of the wind turbine. A frequency regulation model of the power system containing the primary operating dynamics of the wind turbine is established. The dynamic synthetic inertia control method is proposed according to the relationship between fatigue load, wind velocity, and frequency. Case studies are conducted with a wind turbine fatigue load under a synthetic inertia control with different weights for different wind velocities and system loads. Therefore, the dynamic weights are obtained. Comparing the rate of change of frequency and frequency nadir and equivalent damage load, the efficacy of the proposed method is verified.

show abstract

Dynamic Frequency Support from a DFIG-Based Wind Turbine Generator via Virtual Inertia Control

Cited by 21 publications

References 25 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

Fuzzy‐based frequency security evaluation of wind‐integrated power systems

Dynamic synthetic inertial control method of wind turbines considering fatigue load

Contact Info

Product

Resources

About