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

Kunjie Tang; Shufeng Dong; Yonghua Song

doi:10.17775/CSEEJPES.2021.03680

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

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

Regular Papers | 更新时间：2026-10-15

- A Least-Squares-Based Iterative Method with Better Convergence for PF/OPF in Integrated Transmission and Distribution Networks
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 3, Pages: 953-962(2024)
- 作者机构：
  
  1. College of Electrical Engineering, Zhejiang University,Hangzhou,China
  2. Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau,Macao SAR,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.03680
  CLC：
- Published：01 May 2024
- 稿件说明：
移动端阅览
Kunjie Tang, Shufeng Dong, Yonghua Song. A Least-Squares-Based Iterative Method with Better Convergence for PF/OPF in Integrated Transmission and Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 953-962.
DOI：

Kunjie Tang, Shufeng Dong, Yonghua Song. A Least-Squares-Based Iterative Method with Better Convergence for PF/OPF in Integrated Transmission and Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 953-962. DOI： 10.17775/CSEEJPES.2021.03680.

摘要

Abstract

The limitations of the conventional master-slave-splitting (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 LSI-heterogeneous 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

Keywords

references

4. E. Rivero, D. Six, and H. Gerard. ( 2016, Dec. ). Basic schemes for TSO-DSO coordination and ancillary services provision. EU Horizon 2020 SmartNet Project . [Online ] . Available: https://smartnet-project.eu/wp-content/uploads/2016112/D1.3_20161202_V1.0.pdf.

5. A. Zegers and H. Brunner. ( 2014, Sep. ). TSO-DSO interaction: An overview of current interaction between transmission and distribution system operators and an assessment of their cooperation in smart grids . [Online ] . Available: https://www.ctc-n.org/resources/tso-dso-interaction-overview-current-interaction-between-transmission-and-distribution.

6. ENTSO (European Network of Transmission System Operators). ( 2015, Nov 9 ). General guidelines for reinforcing the cooperation between TSOs and DSOs . [Online ] . Available: https://www.entsoe.eu/Documents/Publications/Position%20papers%20and%20reports/entsoe_pp_TSO-DSO_web.pdf#search=tso%2Ddso.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Inverse-Function-Based DC Power Flow Formulation with Loss and Voltage Magnitude Considerations

Semi-Implicit Continuous Newton Method for Power Flow Analysis

Power Flow Analytical Solutions and Multi-Dimensional Voltage Stability Boundaries Based on Multivariate Quotient-Difference Method

Automated Two-stage Conversion of Hourly Optimal DC Flow Solution to AC Power Flow

Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models

Related Author

Dundun Liu

Mike Zhou

Qianhong Wu

Hongcai Zhang

Yadan Wang

Ruizhi Yu

Wei Gu

Yijun Xu

Related Institution

University of Macau Advanced Research Institute in Hengqin, Hengqin

State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao

State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute

School of Electrical Engineering, Southeast University

School of Electrical Engineering and Automation Wuhan University

AI问答

⁰