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考虑直流变压器控制与容量约束的直流配电网连续潮流计算

许晓龙 王强钢 周亦尧 廖建权 张雪飞 周念成

电力系统自动化2025,Vol.49Issue(13):83-92,10.
电力系统自动化2025,Vol.49Issue(13):83-92,10.DOI:10.7500/AEPS20240921001

考虑直流变压器控制与容量约束的直流配电网连续潮流计算

Continuation Power Flow Calculation for DC Distribution Network Considering Control and Capacity Constraints of DC Transformer

许晓龙 1王强钢 1周亦尧 1廖建权 2张雪飞 1周念成1

作者信息

  • 1. 输变电装备技术全国重点实验室(重庆大学),重庆市 400044
  • 2. 四川大学电气工程学院,四川省 成都市 610065
  • 折叠

摘要

Abstract

Continuation power flow(CPF)is one of the important tools for assessing the static voltage stability of power systems.The existing CPF methods for multi-voltage-level DC distribution networks do not adequately consider the control and capacity constraints of DC transformers(DCTs),affecting the accuracy of calculation results.This paper proposes a CPF calculation method for DC distribution networks that incorporates the control and capacity constraints of dual active bridge(DAB)-based DCTs.First,by introducing virtual nodes and combining the external characteristic equations of DCTs,a steady-state model of DCTs in various control modes is established.The relationship between the phase-shift ratio of the DCT and the secondary-side load power in various control modes is analyzed,which provides a basis for mathematical model transitions when DCT constraints are triggered during CPF calculation.On this basis,a CPF model considering the control and capacity constraints of DCT is developed,and criteria are proposed to identify the bifurcation points caused by DCT control and capacity constraints as well as their inducing factors.The effectiveness of the proposed method is validated by using the modified PG&E 69-bus test system.

关键词

直流配电网/静态电压稳定/连续潮流/直流变压器/双有源桥/控制约束/容量约束

Key words

DC distribution network/static voltage stability/continuation power flow/DC transformer/dual active bridge/control constraint/capacity constraint

引用本文复制引用

许晓龙,王强钢,周亦尧,廖建权,张雪飞,周念成..考虑直流变压器控制与容量约束的直流配电网连续潮流计算[J].电力系统自动化,2025,49(13):83-92,10.

基金项目

国家自然科学基金资助项目(52077017). This work is supported by National Natural Science Foundation of China(No.52077017). (52077017)

电力系统自动化

OA北大核心

1000-1026

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