Title | Parameter sensitivity analysis and adjustment for subsynchronous oscillation stability of doubly-fed wind farms with static var generator |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Tian, Yingchi, Xiao, Shiwu |
Conference Name | 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) |
Keywords | Analytical models, composability, Doubly fed induction generators, doubly-fed induction generator, Human Behavior, parameter adjustment, power system stability, pubcrawl, Reactive power, Resiliency, sensitivity analysis, Stability criteria, static analysis, static var generator, subsynchronous oscillation, Wind farms |
Abstract | The interaction between the transmission system of doubly-fed wind farms and the power grid and the stability of the system have always been widely concerned at home and abroad. In recent years, wind farms have basically installed static var generator (SVG) to improve voltage stability. Therefore, this paper mainly studies the subsynchronous oscillation (SSO) problem in the grid-connected grid-connected doubly-fed wind farm with static var generators. Firstly based on impedance analysis, the sequence impedance model of the doubly-fed induction generator and the static var generator is established by the method. Then, based on the stability criterion of Bode plot and time domain simulation, the influence of the access of the static var generator on the SSO of the system is analyzed. Finally, the sensitivity analysis of the main parameters of the doubly-fed induction generator and the static var generator is carried out. The results show that the highest sensitivity is the proportional gain parameter of the doubly-fed induction generator current inner loop, and its value should be reduced to reduce the risk of SSO of the system. |
DOI | 10.1109/ICSP54964.2022.9778576 |
Citation Key | tian_parameter_2022 |