TITLE:
A Flying Spots Detection and Recovery Scheme Based on Hybrid-Waveform Recognition Method
AUTHORS:
Qiyue Huang, Changjin Hu, Zhenquan Sun, Xiaoning Kang, Xuze Zhang, Hao Wang, Chong Zhao, Yali Ma
KEYWORDS:
Hybrid-Waveform Recognition, Flying Plot, Abnormal Sampling, Sine Recovery, Standard Wave Window
JOURNAL NAME:
Energy and Power Engineering,
Vol.9 No.4B,
April
6,
2017
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.