基于智能电表海量数据的台区运行态势分析与应用
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摘要
随着智能电网的快速推进,配网智能化水平越来越高。用户智能电表的覆盖率逐年提升,利用用户智能电表每十五分钟一次采集形成的海量数据,辅以公变终端运行数据,从低压台区线损、故障、网架分析三个视角入手开展台区运行态势分析和应用。通过精益化线损分析,研判线损异常的原因,对配网变户一致性进行研判,对智能装置数据准确性进行评价;通过低压台区回路阻抗模型计算,利用阻抗值实现了配网异常情况的预判和网架阻抗评估;通过配网故障研究分析,及时实现不同类型故障的准确主动研判,进一步提升供电服务"最后一公里"服务效率。文章通过深入挖掘智能电网领域大数据价值,促进业务创新、绩效提升,细化客户分类,满足智能化、多样化用电需要,提升配电网感知度。
With the rapid development of smart grid,the intelligence level of distribution network is higher and higher. The coverage rate of the smart meter is increasing year by year. With the massive data collected by the smart meter every 15 minutes and supplemented by the operation data of the transformer terminal,the situation analysis and application of the station area operation are carried out from three perspectives of line loss,fault and grid analysis in the low voltage station area. Through lean line loss analysis,the causes of abnormal line loss are studied,the consistency of distribution network transformers is judged,and the data accuracy of intelligent devices is evaluated; through the calculation of loop impedance model in low-voltage station area,the impedance value is used to realize the prediction of abnormal distribution network and the evaluation of grid impedance; through the research and analysis of distribution network faults,Accurate and active diagnosis of different types of faults can be realized in time to further improve the " last kilometer" service efficiency of power supply services. In this paper,through in-depth mining of large data value in the field of smart grid,to promote business innovation,performance improvement,refine customer classification,to meet the needs of intelligent and diversified power consumption,improve distribution network perception.
With the rapid development of smart grid,the intelligence level of distribution network is higher and higher. The coverage rate of the smart meter is increasing year by year. With the massive data collected by the smart meter every 15 minutes and supplemented by the operation data of the transformer terminal,the situation analysis and application of the station area operation are carried out from three perspectives of line loss,fault and grid analysis in the low voltage station area. Through lean line loss analysis,the causes of abnormal line loss are studied,the consistency of distribution network transformers is judged,and the data accuracy of intelligent devices is evaluated; through the calculation of loop impedance model in low-voltage station area,the impedance value is used to realize the prediction of abnormal distribution network and the evaluation of grid impedance; through the research and analysis of distribution network faults,Accurate and active diagnosis of different types of faults can be realized in time to further improve the " last kilometer" service efficiency of power supply services. In this paper,through in-depth mining of large data value in the field of smart grid,to promote business innovation,performance improvement,refine customer classification,to meet the needs of intelligent and diversified power consumption,improve distribution network perception.
引文
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[12]栾文鹏,王兵,周宁,等.基于量测数据的低压配电网精确建模[J].电网技术. 2015,39(11):3141-3146.LUAN Wenpeng,WANG Bing,ZHOU Ning,et al. Modeling of LVdistribution network based on metering data[J]. Power SystemTechnology. 2015,39(11):3141-3146.
[13]汤名权. Matlab软件在数学建模中的应用分析[J].电子测试,2017(12):49-50.TANG Mingquan. Analysis on the application of natlab software inmathematical modeling[J]. Electronic Test,2017(12):49-50.
[14]马纪,刘希喆.基于G_2-熵权法的低压配网台区状态特性评估[J].电力自动化设备,2017,37(1):41-46.MA Ji,LIU Xizhe. Conditional characteristic evaluation based onG2-entropy weight method for low-voltage distribution network[J]. Electric Power Automation Equipment,2017,37(1):41-46.
[15]金湘力.浅析低压配网供电可靠性及其增强措施[J].电力科学与工程,2009,25(10):58-59+62.JIN Xiangli,Analysis of low pressure distribution network reliabilityand improved measure[J]. Eectric Power Science and Engineering,2009,25(10):58-59+62.
[2]张文亮,刘壮志,王明俊,等.智能电网的研究进展及发展趋势[J].电网技术,2009,33(13):1-11.ZHANG Wenliang,LIU Zhuangzhi,WANG Mingjun,et al.Research status and development trend of smart grid[J]. PowerSystem Technology,2009,33(13):1-11.
[3]栾文鹏.高级量测体系[J].南方电网技术,2009,3(2):6-10.LUAN Wenpeng. Advanced metering infrastructure[J]. Southernpower system technology,2009,3(2):6-10.
[4]周卓敏,李湘华,何禹清,等.架空和电缆混合馈线的电压损耗快速估算[J].电力系统保护与控制,2010,38(17):169-173.ZHOU Zhuomin,LI Xianghua,HE Yuqing,et al. Fast estimation ofvoltage loss in feeders consisting of overhead line and power cable[J]. Power System Protection and Control,2010,38(17):169-173.
[5]袁慧梅,郭喜庆,于海波.中压配电网线损计算新方法[J].电力系统自动化,2002,26(11):50-53.YUAN Huimei,GUO Xiqing,YU Haibo. New method for calculatingemergy losses in medium-voltage distribution systems[J]. Automationof Electric Power Systems,2002,26(11):50-53.
[6]李秀敏,江卫华.相关系数与相关性度量[J].数学的实践与认识,2006,36(12):188-192.LI Xiumin,JANG Weihua. Research on lnear correlation anddependence M easure[J]. Mathematics in Practice and Theory,2006,36(12):188-192.
[7]梁立波,罗亚中,杏建军,等.基于协方差分析描述函数法的非线性交会精度分析[J].系统工程与电子技术,2010,32(9):1977-1981.LIANG Libo,LUO Yazhong,XING Jianjun,et al. Precision analysisof nonlinear rendezvous by covariance[J]. Analysis descriptionequation techniqueSystems Engineering and Electronics,2010,32(9):1977-1981.
[8]赵星起,张亮.不等式约束二次规划问题的全局最优性充分条件[J].四川大学学报(自然科学版),2015,52(5).ZHAO Xingqi, ZHANG Liang. Global optimality sufficientconditions for quadratic programming problem with inequalityconstraints[J]. Journal of Sichuan University(Natural ScienceEdition),2015,52(5).
[9]胡金杭,施永,周晨,等.微电网中的线路阻抗测量方法研究[J].电测与仪表,2016,53(18):28-34.HU Jinhang,SHI Yong,ZHOU Chen,et al. Line impedancemeasurement method for micro-grid[J]. Electrical Measurement&Instrumentation,2016,53(18):28-34.
[10]杨超,薛静,李冶,等.基于扫频短路阻抗法的绕组变形测试研究[J].贵州电力技术,2015,18(9):1-6.YANG Chao,XUE Jing,LI Ye,et al. Research on princip1e andfield application transformer winding deformation teste based onSFSCR method[J]. Guizhou Electric Power Technology,2015,18(9):1-6.
[11]闫秀娟,王永丽,贺国平.求解界约束优化问题的有效集算法综述[J].数学的实践与认识,2012,42(3):100-107.YAN Xiujuan,WANG Yongli,HE Guoping. A review of theeffective set algorithm for solving bound constrained optimizationproblems[J]. Mathematics in Practice and Theory,2012,42(3):100-107.
[12]栾文鹏,王兵,周宁,等.基于量测数据的低压配电网精确建模[J].电网技术. 2015,39(11):3141-3146.LUAN Wenpeng,WANG Bing,ZHOU Ning,et al. Modeling of LVdistribution network based on metering data[J]. Power SystemTechnology. 2015,39(11):3141-3146.
[13]汤名权. Matlab软件在数学建模中的应用分析[J].电子测试,2017(12):49-50.TANG Mingquan. Analysis on the application of natlab software inmathematical modeling[J]. Electronic Test,2017(12):49-50.
[14]马纪,刘希喆.基于G_2-熵权法的低压配网台区状态特性评估[J].电力自动化设备,2017,37(1):41-46.MA Ji,LIU Xizhe. Conditional characteristic evaluation based onG2-entropy weight method for low-voltage distribution network[J]. Electric Power Automation Equipment,2017,37(1):41-46.
[15]金湘力.浅析低压配网供电可靠性及其增强措施[J].电力科学与工程,2009,25(10):58-59+62.JIN Xiangli,Analysis of low pressure distribution network reliabilityand improved measure[J]. Eectric Power Science and Engineering,2009,25(10):58-59+62.