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

doi:10.11930/j.issn.1004-9649.202002034

Abstract

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

GUO Jing, ZHANG Jie, DING Xi, SHEN Lei. Dynamic Early Warning Method for Power Grid Information System Based on Fuzzy Analytic Hierarchy Process[J]. Electric Power, 2021, 54(5): 174-178,185.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202002034

https://www.electricpower.com.cn/EN/Y2021/V54/I5/174

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