电网遥信大数据智能分析辅助决策系统建设研究
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摘要
电力调度控制中心为适应电网规模不断扩大、结构日趋复杂化而带来的海量设备监控信息,充分发挥现代化技术手段应用的先进作用,提高调控运行人员对电网驾驭能力以及对电网异常、事故信息处置效率,降低人员劳动强度,开展了电网遥信大数据智能分析辅助决策系统建设研究。本研究基于实际电网模型和实时数据,从电网海量信息中梳理、智能分析,提供结论性结果,智能替代人工,而且以电网实时信息为输入,以设备基础信息为辅助,横向对比,纵向分析,提供科学的辅助决策,全程信息深加工,独立设置,只提取系统信息,而不改变系统数据。建成一个具有简、全、独立安全三个主要特点的系统,有效提高电网设备异常事故处置效率、降低安全生产隐患,保证电网安全稳定运行。
In order to adapt to the huge amount of equipment monitoring information brought about by the expanding scale of power grid and the increasingly complicated structure of power grid,and gives full play to the advanced role of the application of modern technological means,improves the control ability of power grid operators and the efficiency of handling abnormal and accident information of power grid,reduces the labor intensity of personnel,The power dispatching and control center has carried out the research on the construction of the intelligent analysis and auxiliary decision system of big data of power grid telecommunication. Based on the actual grid model and real-time data,this research combs and intelligently analyses the massive information of power grid,provides conclusive results,intelligently replaces manual work,and takes real-time information of power grid as input,aided by basic equipment information,horizontal comparison,vertical analysis,provides scientific auxiliary decision-making,deep processing of whole information,independent settings,only extracts system information without changing the system data. Build a simple,complete and independent security system,which can effectively improve the efficiency of handling abnormal accidents of power grid equipment,reduce hidden dangers of safe production,and ensure the safe and stable operation of power grid.
In order to adapt to the huge amount of equipment monitoring information brought about by the expanding scale of power grid and the increasingly complicated structure of power grid,and gives full play to the advanced role of the application of modern technological means,improves the control ability of power grid operators and the efficiency of handling abnormal and accident information of power grid,reduces the labor intensity of personnel,The power dispatching and control center has carried out the research on the construction of the intelligent analysis and auxiliary decision system of big data of power grid telecommunication. Based on the actual grid model and real-time data,this research combs and intelligently analyses the massive information of power grid,provides conclusive results,intelligently replaces manual work,and takes real-time information of power grid as input,aided by basic equipment information,horizontal comparison,vertical analysis,provides scientific auxiliary decision-making,deep processing of whole information,independent settings,only extracts system information without changing the system data. Build a simple,complete and independent security system,which can effectively improve the efficiency of handling abnormal accidents of power grid equipment,reduce hidden dangers of safe production,and ensure the safe and stable operation of power grid.
引文
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[8]张东霞,苗新,刘丽平,等.智能电网大数据技术发展研究[J].中国电机工程学报,2015,35(01):2-12.ZHANG Dongxia,MIAO Xin,LIU Liping,et al. Research on development strategy for smart grid big data[J]. Proceedings of the CSEE,2015,35(01):2-12.
[9]孙宏斌,黄天恩,郭庆来,等.基于仿真大数据的电网智能型超前安全预警技术[J].南方电网技术,2016,10(03):42-46.SUN Hongbin,HUANG Tianen,GUO Qinglai,et al. Power grid intelligent security early warning technology based on big simulation data[J]. Southern Power System Technology,2016,10(03):42-46.
[10]赵晓明,张学强,曹岚.基于关键词的电力系统“大数据”与“云计算”专题文献分析[J].浙江电力,2016,35(02):27-30.ZHAO Xiaoming,ZHANG Xueqiang,CAO Lan. Thematic analysis of"big data"and"cloud computing"in power system based on
[2] LI Z X,YIN X G,ZHANG Z,et al. Wide-area protection fault identification algorithm based on multi-information fusion[J].IEEE Transactions on Power Delivery,2013,28(03):1348-1355.
[3]顾雪平,刘道兵,孙海新,等.面向SCADA系统的电网故障诊断信息的获取[J].电网技术,2012,36(06):64-70.GU Xueping,LIU Daobing,SUN Haixin,et al. Acquisition of power system fault diagnosis information from SCADA system[J]. Power System Technology,2012,36(06):64-70.
[4]张冬霞,姚良忠,马文媛.中外智能电网发展战略[J].中国电机工程学报,2013,33(31):1-14.ZHANG Dongxia,YAO Liangzhong,MA Wenyuan. Development strategies of grid in China and abroad[J]. Proceedings of the CSEE,2013,33(31):1-14.
[5]李再华,白晓民,周子冠,等.基于特征挖掘的电网故障诊断方法[J].中国电机工程学报,2010,30(10):16-22.LI Zaihua,BAI Xiaomin,ZHOU Ziguan,et al. Method of power grid fault diagnosis based on feature mining[J]. Proceedings of the CSEE,2010,30(10):16-22.
[6]宋亚奇,周国亮,朱永利.智能电网大数据处理技术现状与挑战[J].电网技术,2013,37(04):927-935.SONG Yachi,ZHOU Guoliang,ZHU Yongli. Present status and challenges of big data processing in smart grid[J]. Power System Technology,2013,37(04):927-935.
[7]戴庆华,晏治喜,漆铭钧,等.智能配电网大数据典型应用场景研究[J]. 2018,21(11):43-49.DAI Qinghua,YAN Zhixi,QI Mingjun,et al. Research on typical application scenario of big data in smart distribution network[J].Power Systems and Big Data,2018,21(11):43-49.
[8]张东霞,苗新,刘丽平,等.智能电网大数据技术发展研究[J].中国电机工程学报,2015,35(01):2-12.ZHANG Dongxia,MIAO Xin,LIU Liping,et al. Research on development strategy for smart grid big data[J]. Proceedings of the CSEE,2015,35(01):2-12.
[9]孙宏斌,黄天恩,郭庆来,等.基于仿真大数据的电网智能型超前安全预警技术[J].南方电网技术,2016,10(03):42-46.SUN Hongbin,HUANG Tianen,GUO Qinglai,et al. Power grid intelligent security early warning technology based on big simulation data[J]. Southern Power System Technology,2016,10(03):42-46.
[10]赵晓明,张学强,曹岚.基于关键词的电力系统“大数据”与“云计算”专题文献分析[J].浙江电力,2016,35(02):27-30.ZHAO Xiaoming,ZHANG Xueqiang,CAO Lan. Thematic analysis of"big data"and"cloud computing"in power system based on