Hongchun Shu, Xiaohan Jiang, Pulin Cao, 等. Fast Protection for Collector Lines in Large-Scale Wind Farms Based on Random Matrix Theory[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(6):2156-2167.
Hongchun Shu, Xiaohan Jiang, Pulin Cao, et al. Fast Protection for Collector Lines in Large-Scale Wind Farms Based on Random Matrix Theory[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2156-2167.
Hongchun Shu, Xiaohan Jiang, Pulin Cao, 等. Fast Protection for Collector Lines in Large-Scale Wind Farms Based on Random Matrix Theory[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(6):2156-2167.DOI: 10.17775/CSEEJPES.2020.06350.
Hongchun Shu, Xiaohan Jiang, Pulin Cao, et al. Fast Protection for Collector Lines in Large-Scale Wind Farms Based on Random Matrix Theory[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2156-2167.DOI: 10.17775/CSEEJPES.2020.06350.
Fast Protection for Collector Lines in Large-Scale Wind Farms Based on Random Matrix Theory
The impact of large-scale wind farms on power system stability should be carefully investigated
in which mal-functions usually exist in the collector line's relay protection. In order to solve this challenging problem
a novel time-domain protection scheme for collector lines
based on random matrix theory (RMT)
is proposed in this paper. First
the collected currents are preprocessed to form time series data. Then
a real-time sliding time window is used to form a consecutive time series data matrix. Based on RMT
mean spectral radius (MSR) is used to analyze time series data characteristics after real-time calculations are performed. Case studies demonstrate that RMT is independent from fault locations and fault types. In particular
faulty and non-faulty collector lines can be accurately and efficiently identified compared with traditional protection schemes.