电网技术Issue(11)：3141-3146,6.DOI:10.13335/j.1000-3673.pst.2015.11.019
基于量测数据的低压配电网精确建模
Modeling of LV Distribution Network Based on Metering Data
摘要
Abstract
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.关键词
高级量测体系/低压配电网/电力线路阻抗/智能电表/有效集算法Key words
advanced metering infrastructure/LV distribution network/impedance of circuit/smart meter/active-set algorithm分类
信息技术与安全科学引用本文复制引用
栾文鹏,王兵,周宁,郭志民..基于量测数据的低压配电网精确建模[J].电网技术,2015,(11):3141-3146,6.基金项目
国家电网公司科技项目资助(No. PDB17201300199)。Project Supportedby State GridCorporation of ChinaResearch Program (No. PDB17201300199) （No. PDB17201300199）
