Parallel Perturbed Gauss-Newton State Estimator Based on Fortescue Transformation for Unbalanced Power Systems
作者机构:Faculty of Electrical EngineeringUniversity of SarajevoSarajevo 71000Bosnia and Herzegovina
出 版 物:《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报(英文))
年 卷 期:2022年第10卷第6期
页 面:1778-1783页
核心收录:
学科分类:080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金:supported by MONKS Sarajevo FBiH Bosnia and Herzegovina(No.27-02-11-41250-34/21)
主 题:Delta-windings Fortescue transformation iterative algorithms least-squares approximation parallel algorithm perturbation methods ill-conditioning state estimation symmetrical components
摘 要:This letter extends the complex-variable perturbed Gauss-Newton method to estimate the state of unbalanced power systems by exploiting the Fortescue *** proposes a novel and efficient graph-based way to deal with singularities due to zero-sequence network parts bounded with delta transformer windings and isolated from the *** estimator can handle both phasor and complex power *** with the standard complex-variable unbalanced state estimator,it achieves better numerical stability and a speed-up of around three times using a sequential implementation and five times using parallel execution.