电力建设2016，Vol.37Issue(12)：134-142,9.DOI:10.3969/j.issn.1000-7229.2016.12.018
基于多源信息时间序列匹配的电网故障诊断方法
A Fault Diagnosis Method of Power Grid Based on Time Series Matching with Multi-Source Information
摘要
Abstract
With the improvement of automation level of power dispatching and control center, measurement information from multiple sources, such as supervisory control and data acquisition ( SCADA ) , wide-area measurement system ( WAMS) , relay protection information system, et al, is gathered to the unified database in the power dispatching and control center. In order to dig out several application scenarios of multi-source information in power dispatching and operation, this paper applies multi-source information in grid fault diagnosis and proposes a fault diagnosis method for power grid based on time series matching with multi-source information. Firstly, we introduce the database construction of multi-source information, the structure of power grid time series and the corresponding generative rules for different data sources. Then the suspicious fault areas and the power grid time series of the unknown fault are determined by sequence of event ( SOE) information, protection operation information and electric measurements of phasor measurement unit ( PMU) when the fault occurs. After that, the power grid time series of the unknown fault are matched with the standard time series sets that are produced according to the suspicious element's configuration information of protective relays in the suspicious fault areas. Then the detailed fault information is obtained, including fault elements, fault type, fault time, fault procedures and so on. Finally, the feasibility and effectiveness of the proposed method are validated by practical calculation example.关键词
电力系统/多源信息/时间序列/故障诊断Key words
power system/multi-source information/time series/fault diagnosis分类
信息技术与安全科学引用本文复制引用
陈伟彪,陈亦平,姚伟,孙雁斌,劲宇..基于多源信息时间序列匹配的电网故障诊断方法[J].电力建设,2016,37(12):134-142,9.基金项目
国家自然科学基金项目(51577075) Project supported by National Natural Science Foundation of China (51577075) （51577075）
