CAJ | 학술논문

低压配电网的电力线路参数是对其进行潮流计算、线损分析、窃电监测等的基础，而目前对于这方面的研究并不多，主要是由于无法获得低压配电网的量测数据。文章研究了基于高级量测体系(advanced metering infrastructure，AMI)提供的量测数据计算低压配电网线路参数的方法，以达到对配电网络精确建模的目的。该方法是在已知配电网拓扑的前提下利用智能电表所采集到的电压、有功功率和无功功率数据，通过计算上游节点电压，搭建求解优化问题的模型，使时间序列内不同电表数据计算得到的上游节点电压方差最小，或计算得到的该点电压和该点测量电压的差值最小，从而得到配电网线路的阻抗参数，实现配电网络的精确建模。最后以包含17个电表节点和21条支路的实际配网算例验证了所提方法的有效性。
저압배전망적전력선로삼수시대기진행조류계산、선손분석、절전감측등적기출，이목전대우저방면적연구병불다，주요시유우무법획득저압배전망적량측수거。문장연구료기우고급량측체계(advanced metering infrastructure，AMI)제공적량측수거계산저압배전망선로삼수적방법，이체도대배전망락정학건모적목적。해방법시재이지배전망탁복적전제하이용지능전표소채집도적전압、유공공솔화무공공솔수거，통과계산상유절점전압，탑건구해우화문제적모형，사시간서렬내불동전표수거계산득도적상유절점전압방차최소，혹계산득도적해점전압화해점측량전압적차치최소，종이득도배전망선로적조항삼수，실현배전망락적정학건모。최후이포함17개전표절점화21조지로적실제배망산례험증료소제방법적유효성。
For a long time, due to various reasons, power utilities don’t have full or accurate mastering of information of LVdistribution network. This is one of the cases for distribution networkparameters.Accuratecircuit parameters of LVdistribution network are basis of power flow calculation, loss analysis andenergytheftdetection.Electricalparameters are important, but research on them is far from sufficient mainly because of absence of measured data inLVdistribution network.Implementation ofadvanced metering infrastructure (AMI)provides new ways for solving this problem. Thispaper researchesapproacheson accurateelectricalcircuit parameter calculation inLVdistribution networkusing smart meter measurements,so as toobtain accurate model ofLV distribution network.Provided distribution network topology is known, the method leverages a series of smart meter measurements at end nodes of distribution network, mainly voltage, active power and reactive power at customer sides. It calculates voltage of the most upstream node or source node in radial networkwithbottom up approach and buildsan optimization model to minimize source node voltage variance derived from different meter node measurements, or the differencesbetweenestimated source node voltage from different smart meter measurementsandactualvoltage measurement in source node over a period of time. Then the best estimatesfor branch impedances are obtained.Validity of the proposed method is verified with a practical distribution network with17 metering nodes and 21 branches.