Distributed voltage control of active distribution network based on state space linear transformation

被引：0

作者：

Yang P. ^{[1
]}

Zhao Z. ^{[2
]}

Wang Z. ^{[3
]}

An J. ^{[3
]}

Yang S. ^{[2
]}

Li P. ^{[3
]}

机构：

[1] State Grid Hebei Electric Power Co.，Ltd., Shijiazhuang

[2] State Grid Hebei Economic Research Institute, Shijiazhuang

[3] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 01期

关键词：

active distribution network; data-driven; distributed control; distributed power generation; state space transformation; voltage control;

D O I：

10.16081/j.epae.202211023

中图分类号：

学科分类号：

摘要：

The integration of large-scale distributed generation into active distribution network poses challenges to voltage control. Limited by the accuracy of distribution network model parameters，the performance of traditional centralized control and model-based distributed control is significantly affected. Aiming at the above problem，a distributed voltage control of active distribution network based on state space linear transformation is proposed. By utilizing matrix splitting method，it can carry out Hessian inverse in a distributed manner，and provide super-linear convergence. Based on Koopman data-driven method，the historical operation data of distribution networks is taken as training samples，the lift-dimension linear power flow model is constructed，and the voltage-reactive power sensitivity is derived. Therefore，the Newton direction in distributed control can be properly tuned. The results of case studies validate that compared with the methods based on model parameters，the proposed method exhibits faster convergence rate and better voltage profile. Besides，the method is independent on parameters，and has superiority in practical applications. © 2023 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：64 / 72

页数：8

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