基于Apriori算法的昆柳龙直流换流站SER事件智能分析方法研究

Research on Intelligent Analysis Method of SER Eventsin Kunliulong DC Converter Station Based on Apriori Method

昆柳龙直流是世界上首个特高压多端混合直流工程,其控制保护逻辑功能尤为复杂,换流站HMI系统监视信号繁多,及时发现换流站异常SER事件尤为重要。为此,通过分析昆柳龙直流换流站事件,基于Apriori算法对事件规则进行挖掘,识别每条SER的产生规律,实现异常SER自动识别,减轻运行人员监盘压力,提高监盘质量,对于保障换流站运维效率和质量具有很好的实际意义。

Kunliulong DC is the world′s first UHV multi-terminal hybrid DC project.Its control and protection logic functions are particularly complex.The HMI system of the converter station has many monitoring signals.It is particularly important to detect abnormal SER events in the converter station in time.Therefore,through the analysis of kunliulong HVDC converter station events,the event rules are mined based on Apriori algorithm to identify the generation rule of each SER,and the automatic identification of abnormal Ser is realized.It is of great practical significance to reduce the pressure of the operating personnel and improve the quality of the monitoring panel for ensuring the operation and maintenance efficiency and quality of the converter station.