A Least-squares-based Iterative Method with Better Convergence for PF/OPF in Integrated Transmission and Distribution Networks  

作　　者：Kunjie Tang Shufeng Dong Yonghua Song 

机构地区：[1]College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China [2]State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering,University of Macao,Macao SAR,China [3]IEEE

出　　处：《CSEE Journal of Power and Energy Systems》2024年第3期953-962,共10页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported by the National Natural Science Foundation of China(52077193).

摘　　要：The limitations of the conventional master-slavesplitting(MSS)method,which is commonly applied to power flow and optimal power flow in integrated transmission and distribution(I-T&D)networks,are first analyzed.Considering that the MSS method suffers from a slow convergence rate or even divergence under some circumstances,a least-squares-based iterative(LSI)method is proposed.Compared with the MSS method,the LSI method modifies the iterative variables in each iteration by solving a least-squares problem with the information in previous iterations.A practical implementation and a parameter tuning strategy for the LSI method are discussed.Furthermore,a LSI-PF method is proposed to solve I-T&D power flow and a LSIheterogeneous decomposition(LSI-HGD)method is proposed to solve optimal power flow.Numerical experiments demonstrate that the proposed LSI-PF and LSI-HGD methods can achieve the same accuracy as the benchmark methods.Meanwhile,these LSI methods,with appropriate settings,significantly enhance the convergence and efficiency of conventional methods.Also,in some cases,where conventional methods diverge,these LSI methods can still converge.

关 键 词：Fixed-point theory integrated transmission and distribution networks least-squares-based iterative method master-slave-splitting method optimal power flow power flow 

分 类 号：TM732[电气工程—电力系统及自动化]