Open AccessResearch on Aggregation Model of Wind Farm Based on SSO Complex Torque Coefficient Analysis
Author(s) -
Xunwen Su,
Hanqing Cui,
Yuming Pei,
Dongni Zhang,
Pengyu An
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012020
Subject(s) - turbine , wind power , oscillation (cell signaling) , wind speed , control theory (sociology) , torque , marine engineering , electric power system , environmental science , power (physics) , computer science , automotive engineering , engineering , meteorology , physics , mechanical engineering , electrical engineering , control (management) , chemistry , biochemistry , quantum mechanics , artificial intelligence , thermodynamics
In order to study the influence of the clustering aggregation of doubly-fed wind turbines (DFIG) in the wind-fire bundling system on the system subsynchronous oscillation (SSO), the expression of the DFIG output active power on the electrical damping De of thermal power units is first derived. Then the wind-thermal bundling system is built based on the IEEE first bench mark, and the wind farm is aggregated to several groups according to the rated power. The complex torque coefficient method is used to analyze the two cases of the same running state of the wind turbine and the difference of wind speed between the turbine and verified by time-domain simulation. The results show that the difference in wind speed within the DFIG groups has little effect on the system oscillation frequency before and after the aggregation of the wind farm, but there may be a slight error in the electrical damping coefficient before and after the aggregation,but the error does not affect the trend and analysis of damping characteristics of system. When studying the influencing factors of wind-fire bundling system SSOthe aggregated model can be uesd to improve simulation efficiency.