摘要
态势感知系统在电力设备运行的安全监测和异常控制中起着主要作用。以往增强态势感知系统的方法主要集中在状态估计、安全分析和视觉感知上。作为自动识别持续变化过程的趋势特征的有效工具,趋势分析系统技术可用于增强电力设备运行异常的态势感知。通过定性的趋势分析提出了一个增强的态势感知框架。增强框架包括3个层次:信息的感知、对当前状态的安全评估以及对未来系统状态和趋势的预测。在感知信息的基础上,引入N-1稳态安全距离模型来评估当前电力设备状态的安全水平。实际应用结果表明:稳态安全距离趋势提取与电力设备原始数据拟合度较好,误差大于97%,且基于趋势的方法可以有效监测电力设备及线路异常,帮助电力设备操作人员监测设备运行异常问题。
Situational awareness systems play a major role in the safety monitoring and anomaly control of power plant operations.Previous approaches to enhance situational awareness systems have focused on state estimation,safety analysis and visual perception.As an effective tool for automatically identifying trend characteristics of continuously changing processes,trend analysis techniques can be used to enhance situational awareness of abnormalities in power plant operation.An enhanced situational awareness framework is therefore proposed through qualitative trend analysis.The enhanced framework consists of three levels:perception of information,safety assessment of the current state and prediction of the future system state and its trends.Based on the perceived information,an N-1 steady-state safety distance model is introduced to assess the safety level of the current state of power equipment.The practical application results showed that the steady-state safety distance trend extraction fitted well with the original data of power equipment,with an error greater than 97%,and the trend-based approach could effectively monitor power equipment and line abnormalities and help power equipment operators to monitor abnormal equipment operation problems.
作者
周宏辉
翁东雷
莫建国
邱云
卢俊
ZHOU Honghui;WENG Donglei;MO Jianguo;QIU Yun;LU Jun(State Grid Ningbo Power Supply Company,Ningbo 315000,Zhejiang China;Operation and Maintenance Branch of Ningbo Power Transmission and Transformation Construction Co.,LTD.,Ningbo 315000,Zhejiang China)
出处
《粘接》
CAS
2023年第7期175-178,共4页
Adhesion
关键词
趋势分析
电力设备
运行异常
态势感知
trend analysis
power equipment
operational anomalies
situational awareness
