电网与清洁能源
電網與清潔能源
전망여청길능원
ADVANCES OF POWER SYSTEM & HYDROELECTRIC ENGINEERING
2014年
12期
72-77
,共6页
姚浩%李鹏%郭晓斌%许爱东%蒋愈勇%段刚%杨东
姚浩%李鵬%郭曉斌%許愛東%蔣愈勇%段剛%楊東
요호%리붕%곽효빈%허애동%장유용%단강%양동
巡维中心%驾驶舱%告警信息处理%故障设备定位%大数据%数据挖掘
巡維中心%駕駛艙%告警信息處理%故障設備定位%大數據%數據挖掘
순유중심%가사창%고경신식처리%고장설비정위%대수거%수거알굴
O & M center%dashboard%alarm information disposal%fault device location%mass data%data mining
电网故障发生后,巡维中心主站可以从电网运行控制中心的各主站系统收集到关于故障事件的大量告警和状态信息,这往往给运行人员造成很大的工作压力,也难以保证对事故告警判断和处理的正确性。提出的巡维中心驾驶舱(运行管理系统)的告警信息处理和故障设备定位功能将各主站信息收集至巡维中心一体化信息平台实时库后,采用大数据存储和数据挖掘技术,对故障的特征以及与设备的关联关系实现提取,结合周边变电站信息,对告警变电站的运行状态进行在线实时分析和推理,采用决策树技术定位发生故障或出现危险情况的具体设备和故障原因,协助运行人员及时地分析和处理事故。
電網故障髮生後,巡維中心主站可以從電網運行控製中心的各主站繫統收集到關于故障事件的大量告警和狀態信息,這往往給運行人員造成很大的工作壓力,也難以保證對事故告警判斷和處理的正確性。提齣的巡維中心駕駛艙(運行管理繫統)的告警信息處理和故障設備定位功能將各主站信息收集至巡維中心一體化信息平檯實時庫後,採用大數據存儲和數據挖掘技術,對故障的特徵以及與設備的關聯關繫實現提取,結閤週邊變電站信息,對告警變電站的運行狀態進行在線實時分析和推理,採用決策樹技術定位髮生故障或齣現危險情況的具體設備和故障原因,協助運行人員及時地分析和處理事故。
전망고장발생후,순유중심주참가이종전망운행공제중심적각주참계통수집도관우고장사건적대량고경화상태신식,저왕왕급운행인원조성흔대적공작압력,야난이보증대사고고경판단화처리적정학성。제출적순유중심가사창(운행관리계통)적고경신식처리화고장설비정위공능장각주참신식수집지순유중심일체화신식평태실시고후,채용대수거존저화수거알굴기술,대고장적특정이급여설비적관련관계실현제취,결합주변변전참신식,대고경변전참적운행상태진행재선실시분석화추리,채용결책수기술정위발생고장혹출현위험정황적구체설비화고장원인,협조운행인원급시지분석화처리사고。
When a network failure occurs,the master sta-tion in the O & M center will gather too many alarms and too much state information from each station system of the operation control center of the grid,which often exert too much pressure on the operating staff and make it difficult to ensure correctness of the judgment and treatment of the alarms. The O&M center dashboard (operation management system) proposed in this study,equipped with the alarm information disposal and fault device location functions,can send the information collected from every station to the real-time database of the information integration platform in the O & M center where the mass data storage and mining technology is used to realize extraction of the fault feature and association with equipment. Finally,the operating state of the alarm substation is analyzed and deduced in the real-time online based on the operating conditions of the peripheral stations and the specific failure or dangerous device and fault reasons are located by decision tree to help the operating staff to handle accidents in time.