上海电网主力机组跳闸典型过程分析及大数据平台构想

阐述了上海电网电力平衡的形势,凸显了上海电网本地发电机组稳定运行的重要性,为提高机组运行可靠性需要对跳闸故障进行深入分析。抽取足量的、具有代表性的主力机组作为研究样本,对机组跳闸事件进行了统计分析,明确了应重点关注的方向。对辅机缺陷和控制软硬件缺陷引发两次真实跳闸事件进行了过程回溯和原因分析,提出了按照发电厂分系统进行跳闸过程分析的方法,讨论了运行记录在事故分析中的重要参考价值。基于运行记录的重要性提出了构建机组运行信息大数据平台的构想,并给出了信息系统架构;以机组跳闸季节特性和调度运行记录词频分析为例,探讨了在大数据平台的基础上利用挖掘算法建立知识仓库的可行性。

Typical Process Analysis of Generator Trip in Shanghai Grid and Proposal of Big Data Platform

Power balance situation in Shanghai grid is introduced, which indicated the importance of local generator stable operation. Sufficient and representative generators are sampled. Statistical analysis of generator groups tripping events is carried out, and the direction to be paid attention to is clearly pointed out. The process tracing and cause analysis of two real tripping events caused by auxiliary machine defect and control software and hardware defect are carried out. The classifying method for analyzing process of generator trip according to the subsystem of plant is present. The important reference value of operation records is discussed. The information structure of constructing big data platform is proposed. Taking the analysis of seasonal characteristics of generator groups tripping and word frequency of dispatch operation records as an example, the feasibility of building knowledge warehouse with mining algorithm on the basis of large data platform is discussed.