中国电力 ›› 2021, Vol. 54 ›› Issue (5): 174-178,185.DOI: 10.11930/j.issn.1004-9649.202002034

• 信息与通信 • 上一篇    下一篇

基于模糊层次分析的电网信息系统动态预警方法

郭晶, 张捷, 丁西, 沈磊   

  1. 四川中电启明星信息技术有限公司,四川 成都 610041
  • 收稿日期:2020-02-09 修回日期:2020-07-27 发布日期:2021-05-05
  • 作者简介:郭晶(1980-),女,通信作者,硕士,高级工程师,从事电网信息化、网络安全、人工智能等研究,E-mail:guojing@sgitg.sgcc.com.cn
  • 基金资助:
    国家电网公司科技项目(提升信息系统可靠性保障能力应用研究,SGTYHT/15-JS-191)

Dynamic Early Warning Method for Power Grid Information System Based on Fuzzy Analytic Hierarchy Process

GUO Jing, ZHANG Jie, DING Xi, SHEN Lei   

  1. Aostar Information Technologies Co., Ltd., Chengdu 610041, China
  • Received:2020-02-09 Revised:2020-07-27 Published:2021-05-05
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Application Research on Improving Information System Reliability Support Capability, No.SGTYHT/15-JS-191)

摘要: 电网信息系统是支撑电网企业稳定可靠运行的重要组成部分,实时监测、评估信息系统运行状态并及时预警一直是业界关注的重要课题,常规预警方法处理设备老化或更新、业务量波动、设备增加等情况时,常出现误报漏报问题。科学拟合日运行曲线并及时进行更新比对,基于模糊层次分析法计算各设备指标权重,结合异常持续时间和增量权重,生成设备预警级别,最后综合考虑设备预警等级和数量获得信息系统整体预警状态。通过原型系统进行算法验证,结果表明该方法能够实时感知设备和系统整体运行状态,快速进行可靠性判定和故障识别。该方法能够实现准确及时的动态预警,提高信息系统运行的可靠性,具有重要的研究意义和实用价值。

关键词: 逆向模糊层次分析, 电网信息系统, 预警算法

Abstract: Power grid information system is very important for supporting the stable and reliable operation of power grid enterprises. Real time monitoring, evaluation of the operation status of information system and timely early warning have always been the focus for concerning in the industry. When the conventional early warning methods are used to deal with the equipment aging or updating, business volume fluctuation, and equipment addition, false alarm and missing report often occur. The daily operation curve is fitted scientifically and updated and compared in time. The weight of each equipment index is calculated based on the fuzzy analytic hierarchy process (FAHP). The equipment early warning level is generated by combining the abnormal duration and incremental weight. Finally, the overall warning status of the information system is obtained by synthetizing the equipment warning level and quantity. The algorithm is verified by a prototype system, and the results show that the method can sense the whole running state of the equipment and the system in real time, and quickly judge the reliability and identify the fault. This method can achieve accurate and timely dynamic early warning, and improve the operation reliability of information system, and has important research significance and practical value.

Key words: fuzzy analytic hierarchy process, power grid information system, early warning algorithm