A Flying Spots Detection and Recovery Scheme Based on Hybrid-Waveform Recognition Method
- 1 Shaanxi Key Laboratory of Smart Grid (Xi’an Jiaotong University), Xi’an Jiaotong University, Xi’an, China
- 2 Shaanxi Regional Electric Power Group CO., LTD, Xi’an, China
- 3 Shaanxi Regional Electric Power Group CO., LTD, Xi’an, China
- 4 Shaanxi Key Laboratory of Smart Grid (Xi’an Jiaotong University), Xi’an Jiaotong University, Xi’an, China
- 5 Shaanxi Key Laboratory of Smart Grid (Xi’an Jiaotong University), Xi’an Jiaotong University, Xi’an, China
- 6 Shaanxi Key Laboratory of Smart Grid (Xi’an Jiaotong University), Xi’an Jiaotong University, Xi’an, China
- 7 Shaanxi Key Laboratory of Smart Grid (Xi’an Jiaotong University), Xi’an Jiaotong University, Xi’an, China
- 8 Tianjin Power Transmission and Transformation Engineering Company, Tianjin, China
Abstract
Flying plots detection has been the focus of relay protection in power system for a long time. With the promotion of Smart substation in our country, the number of SV devices is greatly increased. Abnormal data (flying plot) caused by sampling device itself has brought tremendous pressure to the power system. The traditional flying plot detection algorithm has plenty of defects, such as low pertinence, low sensitivity and long sampling period. This paper proposes a new algorithm to identify flying plot by analyzing the wave form characteristics of sampling data. The traditional waveform recognition methods are combined in this algorithm. It has the concept of standard wave window and can distinguish flying plot in a short time. In addition, sine recovery algorithm is used to recover the flying plot. This paper uses PSCAD software to verify the validity of this algorithm. Simulation results show that the proposed method has high reliability.
- Wu, W.J. and Zhang,J.W. (2015) A flying Spot Detection Algorithm For Continuous Sampling Based on Removable Disconti-nuous Points. Power system Protection and Control,4, 18-24.
- Wang, J.Y., Zhang, X.L. and Ai, S.Y. (2015) Research on Test Plan and Features of Abnormal Big Date in SV Sampling.Electric Power Survey and Design,5, 47-52.
- Zhao, L., Qian, Y.C. and Liu, H.J. (2010) Abnormal Data Resisting Method in Digital Substation. Automation of Electric Power System,34, 97-99.
- Zhang, S. (2012) Transformer Magnetizing Inrush Current Identification Method Based on Energy Component. Power System Protection and Control, 17, 121-126.
- Zhang, Y.C. (2006) Bad data detection and Identification in Power System. Southwest Jiaotong University, Chengdu.
- Huang, Y.Q., Xiao, J. and Li, Y.F. (2006) A New Method To Detect And Identify Bad Data Based on Correlatively of Measured Data in Power System. Power System Technology, 30, 70-74.
- Yang, Z. (2011) Analysis and Solution of The Flying Plot in the Smart Substation.Xinjiang Electric Technology,1.