摘要
为解决长期以来低压配电网线路阻抗参数缺失的问题,基于微型同步相量测量单元(micro phasor measurement unit,μPMU)提供的测量数据,首先,以线路阻抗参数为变量,根据测量数据推算台区首端状态值,以推算值与实测值的差值作为目标函数,将阻抗参数的求解转化为多目标最优化问题;然后,通过实验确定合适的目标函数权重系数取值和数据集大小,以减少误差对求解结果的影响,使模型求解精度达到较高水准;最后,搭建了包含26个负荷节点、34条线路支路的低压配电网台区算例,在考虑实际测量误差的情况下,线路阻抗参数计算平均误差为3.87%。算例结果表明,所提方法实现了阻抗参数的精确计算,验证了所提模型的有效性。
In order to solve the long standing issue of missing line impedance parameters in low voltage distribution network,this paper proposed a new approach based on measurement data collected from the micro-synchronous phasor measuring unit(μPMU).Firstly,by taking line impedance parameters as variables,the root node state value of the station area is calculated from the measurement data.And then by setting the objective function as the minimization of the difference between the calculated value and the measured value,the solution for impedance parameters is converted to a multi-objective optimization problem.Moreover,through designed experiments the weight coefficients of the objective function and the size of the dataset are determined appropriately to reduce the influence of errors on the solution results such that the model can be solved with higher accuracy.Finally,an example of a low voltage distribution network with 26 load nodes and 34 line branches is set up.Considering the actual measurement error,the average error of the line impedance parameter estimation is 3.87%.The case study results show that the proposed method achieves accurate estimation of the impedance parameters and hence the effectiveness of the proposed model is verified.
作者
张子桐
周群
佃钰林
官子超
印月
冷敏瑞
刘雪山
ZHANG Zitong;ZHOU Qun;DIAN Yulin;GUAN Zichao;YIN Yue;LENG Minrui;LIU Xueshan(School of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《中国电力》
CSCD
北大核心
2023年第8期157-165,共9页
Electric Power
基金
四川省国际科技创新合作/港澳台科技创新合作项目(提高清洁能源消纳的区域多源电力系统低碳化优化方法,2022YFH0018)。
关键词
低压配电网
电力线路阻抗参数
多目标最优化
微型同步相量测量装置
最速下降法
low voltage distribution network
power line parameters
multi-objective optimization
micro-phasor measurement unit
steepest descent method
