Impedance Modeling and Stability Analysis of VSG Controlled Type-IV Wind Turbine System

Author(s):  
Yunyang Xu ◽  
Heng Nian ◽  
Bin Hu ◽  
Dan Sun
2022 ◽  
pp. 271-286
Author(s):  
Bibhu Prasad Ganthia ◽  
Monalisa Mohanty ◽  
Jai Kumar Maherchandani

This chapter highlights on the design, operation, and comparative analysis of different types of wind turbine systems with respect to steady state and transient phenomenal activities under rapid wind speed variations. Here, Type I, which is fixed speed induction generator based, and Type II, which is DFIG based, variable speed operated systems are initially compared. In the next part, Type III wind turbine system is presented, which uses DFIG; later, it is compared with the Type IV WT system, which uses permanent magnet synchronous generator. This chapter provides a comparative overview on existing wind power systems including an analytic discussion of key principles and innovations for wind turbines. In this energy conversion system, various designs of wind turbines, pitch angle controlled based variable speed wind turbines governed by help of electronic power converters, were preferred. This scope of dynamic simulation-based study is implemented using MATLAB Simulink to convey the feasibility of the proposed wind turbine models.


Author(s):  
Xiaozhong Liao ◽  
Hang Sun ◽  
Zhen Li ◽  
Siu-Chung Wong ◽  
Li Tian ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 574
Author(s):  
Rundong Yan ◽  
Sarah Dunnett

In order to improve the operation and maintenance (O&M) of offshore wind turbines, a new Petri net (PN)-based offshore wind turbine maintenance model is developed in this paper to simulate the O&M activities in an offshore wind farm. With the aid of the PN model developed, three new potential wind turbine maintenance strategies are studied. They are (1) carrying out periodic maintenance of the wind turbine components at different frequencies according to their specific reliability features; (2) conducting a full inspection of the entire wind turbine system following a major repair; and (3) equipping the wind turbine with a condition monitoring system (CMS) that has powerful fault detection capability. From the research results, it is found that periodic maintenance is essential, but in order to ensure that the turbine is operated economically, this maintenance needs to be carried out at an optimal frequency. Conducting a full inspection of the entire wind turbine system following a major repair enables efficient utilisation of the maintenance resources. If periodic maintenance is performed infrequently, this measure leads to less unexpected shutdowns, lower downtime, and lower maintenance costs. It has been shown that to install the wind turbine with a CMS is helpful to relieve the burden of periodic maintenance. Moreover, the higher the quality of the CMS, the more the downtime and maintenance costs can be reduced. However, the cost of the CMS needs to be considered, as a high cost may make the operation of the offshore wind turbine uneconomical.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3243
Author(s):  
Shaojian Song ◽  
Peichen Guan ◽  
Bin Liu ◽  
Yimin Lu ◽  
HuiHwang Goh

Impedance-based stability analysis is an effective method for addressing a new type of SSO accidents that have occurred in recent years, especially those caused by the control interaction between a DFIG and the power grid. However, the existing impedance modeling of DFIGs is mostly focused on a single converter, such as the GSC or RSC, and the influence between the RSC and GSC, as well as the frequency coupling effect inside the converter are usually overlooked, reducing the accuracy of DFIG stability analysis. Hence, the entire impedance is proposed in this paper for the DFIG-based WECS, taking coupling factors into account (e.g., DC bus voltage dynamics, asymmetric current regulation in the dq frame, and PLL). Numerical calculations and HIL simulations on RT-Lab were used to validate the proposed model. The results indicate that the entire impedance model with frequency coupling is more accurate, and it is capable of accurately predicting the system’s possible resonance points.


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