基于大数据技术的配电网全景监测系统的研究与实现
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摘要
配电网的运营监测通过全过程、计划与预算等跨专业流程监测,帮助业务部门更深层次地分析问题,及时解决问题,增强对业务部门管理提升的服务能力,以更好地服务配网规划、建设、生产、运维工作。然而,实现配电网的全景监测,即从多种不同维度实现配电网的监测,涉及指标众多、数据量巨大、实现难度较大,而大数据技术能够为海量数据的存储、计算、分析提供了最佳的解决方案。文章通过分析配电网全景监测的实现要素,研究大数据技术与配电网监测的兼容性,提出了基于大数据技术实现配电网全景监测的实现方法,从系统的角度把握配电网的运营品质,揭示配电网在安全、质量、能效等维度的规律,为配电网规划、建设和运维提供决策依据。
Through the whole process,planning and budget and other cross-professional process monitoring,distribution network operation monitoring can help business departments to analyze the problem deeper and solve the problem in time.This will better serve the distribution network planning,construction,production,operation and maintenance.To realize the panoramic monitoring of distribution network,we need to realize the monitoring of distribution network from many different dimensions,involving many indicators,huge amount of data and great difficulty in realization.Big data technology can provide the best solution for the storage,calculation and analysis of massive data.By analyzing the realization elements of panoramic monitoring of distribution network and studying the compatibility of big data technology and distribution network monitoring,this paper puts forward a method to realize the panoramic monitoring of distribution network based on big data technology.From the perspective of system,Operation quality,reveals the rules of distribution network in the dimensions of safety,quality and energy efficiency,and provides decision-making basis for the planning,construction and operation of distribution network.
Through the whole process,planning and budget and other cross-professional process monitoring,distribution network operation monitoring can help business departments to analyze the problem deeper and solve the problem in time.This will better serve the distribution network planning,construction,production,operation and maintenance.To realize the panoramic monitoring of distribution network,we need to realize the monitoring of distribution network from many different dimensions,involving many indicators,huge amount of data and great difficulty in realization.Big data technology can provide the best solution for the storage,calculation and analysis of massive data.By analyzing the realization elements of panoramic monitoring of distribution network and studying the compatibility of big data technology and distribution network monitoring,this paper puts forward a method to realize the panoramic monitoring of distribution network based on big data technology.From the perspective of system,Operation quality,reveals the rules of distribution network in the dimensions of safety,quality and energy efficiency,and provides decision-making basis for the planning,construction and operation of distribution network.
引文
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[10]汤亚芳,王建民,程浩忠,等.配电网经济型综合评估体系[J].电网技术,2007,21(2),127-130.TANG Yafang,WANG Jianmin,CHENG Haozhong,et al.An integrated economic evaluation system of d i s t r i b u t i o n p o w e r s y s t e m s[J].P o w e r S y s t e m Technology,2007,31(2):127~130.
[2]TERESE J R,THIAGARAJAN A,PRASAD K V,et al. City distribution automation projects-economic justification aspects[C]//Power Engineering Society General Meeting,IEEE,New York,USA,2012.
[3]吴国沛,刘育权,熊文.智能配电网信息支持系统部分关键技术研究实践[J].供用电,2010,27(6):12-14.
[4]薛永端.基于暂态特征信息的配电网单相接地故障检测研究[D].西安:西安交通大学,2003.
[5]王庆,董瑞安,张宇.上海电能质量数据展示系统设计与应用[J].供用电,2010,27(6):15-17.WANG Qing,DONG Ruian,ZHANG Yu.Design and application for power quality display system of Shanghai[J].Distribution and Utilization,2010,27(6):15-17.
[6]王康元,张洁,朱丽娟,等.基于SVG的电网数据可视化图形描述[J].电力系统及其自动化学报,2006,18(5):84-88.WANG Kangyuan,ZHANG Jie,ZHU Lijuan,et al.Graphical description of grid data visualization based on SVG[J].Journal of Electric Power Systems and Automation,2006,18(5):84-88.
[7]王海鹏,曾嵘,何金良.利用GSM网络实现配电网络远程数据的可行性分析[J].高压电器,2002,38(5):12-15.WANG Haipeng,ZENG Rong,He Jinliang.Feasibility analysis of remote data distribution in distribution network based on GSM net[J].High Voltage Apparatus,2002,38(5):12-15.
[8]潘坚跃.电网可视化研究与实践[J].电力信息化,2007,5(7):12-14.PAN Jianyue.Research and practice of power grid visualization[J].Power Informationization,2007,5(7):12-14.
[9]荀挺,张珂珩,薛浩然,等.电网调控数据综合智能分析决策架构设计[J].电力系统保护与控制,2015,43(11),121-127.XUN Ting,ZHANG Keheng,XUE Haoran,et al.Design of synthetic intelligent analysis and decision-making for power grid regulation data[J].Power System Protection and Control,2015,43(11):121-127.
[10]汤亚芳,王建民,程浩忠,等.配电网经济型综合评估体系[J].电网技术,2007,21(2),127-130.TANG Yafang,WANG Jianmin,CHENG Haozhong,et al.An integrated economic evaluation system of d i s t r i b u t i o n p o w e r s y s t e m s[J].P o w e r S y s t e m Technology,2007,31(2):127~130.