PDMiner平台的主动配电网安全监测系统

Active Power Distribution Network Security Monitoring System Based on PDMiner Platform

主动配电网系统结构复杂、DG渗透率高、负荷波动大、控制要求严格,运行数据信息呈现出大量、高速、多样和价值的特点。针对主动配电网大数据处理的问题,依据云计算理论,采用数据挖掘技术和分布并行计算方式,建立了一套PDMiner大数据挖掘平台的主动配电网安全监测系统模型。分别研究了系统对历史数据和实时故障数据的处理。研究表明该系统通过对历史数据的处理可进行风险区域划分、制定规划方案、运行状态评价,通过对故障数据的处理可进行故障分析与处理,并为配电网安全改造提供依据。通过仿真算例验证了该系统的工作效果。

Active distribution network system has the characteristics of complex structure, hlgla ut, permeability, large load fluctuation, strict control requirements. The data information of operation has the method, establishing an active ,distribution network security monitoring system model based on PDMiner large data mining platform. The processing of historical data and real time fault data are studied respectively. Research results show that the system by processing of historical data for risk zoning, development planning, operation state evaluation, by processing of fault data for fault analysis and processing, providing the basis for the distribution network security. The result of the system is verified by the simulation example.