摘要
智能变电站以全站信息的数字化为基本要求,利用数字采样代替传统的模拟采样,采样装置数量大大增加。站域保护对数字采样的可靠性提出了更高要求,而SV(采样值)中存在大幅值“飞点”(数据异常点)是引起保护误动的主要原因。在深入研究“飞点”产生原因及其特征的基础上,提出一种基于复合波形识别算法的“飞点”检测和还原方案:采用基于积分型波形对称法和导数型波形识别法的复合波形识别算法,利用标准正弦波窗的概念,能迅速、准确地识别“飞点”数据。另外,根据正弦恢复算法可对“飞点”数据进行修复,无需闭锁判据即可保证保护的可靠性。通过建立PSCAD仿真模型,模拟单个“飞点”和连续“飞点”的正常运行和短路故障时波形,验证了所提“飞点”识别及修复方案的可靠性。仿真结果证明,保护装置动作正常,不会发生误动、拒动。
Digitization of intelligent substation information,as required,substitutes analog sampling for digital sampling,resulting in a great increase in sampling devices.Substation area protection poses a higher requirement for digital sampling reliability,and the large-amplitude flying spots(data anomaly points)in SV(sampling value)are the major causes of protection maloperation.By study on the reason and characteristics of flying spots,the paper presents a flying spot detection and recovery scheme based on a composite waveform recognition algorithm:a composite waveform recognition algorithm based on integral waveform symmetry and derivative waveform symmetry that can correctly identify flying spot data via sinusoidal wave window.Besides,the flying spot data is recovered by the sinusoidal recovery algorithm,and the protection reliability can be guaranteed without block criterion.By the establishment of the PSCAD simulation model,waveforms of a single flying spot and a successive flying spot in normal operation and short-circuit fault are simulated to verify the effectiveness of the scheme.The simulation result shows that the protection devices operate normally,and there is neither maloperation nor operation refusal.
作者
王瀚杰
黄棋悦
夏冰冰
WANG Hanjie;HUANG Qiyue;XIA Bingbing(State Grid Ningbo Power Supply Company,Ningbo Zhejiang 315000,China;Ningbo Polytechnic,Ningbo Zhejiang 315800,China)
出处
《浙江电力》
2020年第9期33-38,共6页
Zhejiang Electric Power
基金
宁波市产业技术创新重大项目(2016B10012)
宁波市自然科学基金(2018A610074)。
关键词
混合波形识别
“飞点”
采样值
正弦恢复
标准波窗
composite waveform recognition
flying spot
sampling value
sinusoidal recovery
standard wave window
