Paper Info
Title
Small Signal Stability Analysis and Optimize Control of Large-Scale Wind Power Collection System
Abstract
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.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3158335
IEEE ACCESS
Keywords
DocType
Volume
Power system stability, Stability analysis, Wind power generation, Wind speed, Wind turbines, Thermal stability, Frequency control, Uncertainty of wind power output, maximum likelihood estimation, small signal stability, virtual inertia, pitch angle control, damping ratio, sensitivity analysis
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Limei Li100.34
Hui Jiang200.34
Peihong Yang300.68
Pengxiang Fan400.34
Pan Qi500.34
Lan Kang600.34