Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks

Yiyao Zhou; Qianggang Wang; Xiaolong Xu; Tao Huang; Jianquan Liao; Yuan Chi; Xuefei Zhang; Niancheng Zhou

doi:10.17775/CSEEJPES.2023.08530

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Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks

Regular Papers | 更新时间：2026-10-15

- Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks
- CSEE Journal of Power and Energy Systems Vol. 11, Issue 2, Pages: 944-948(2025)
- 作者机构：
  
  1. School of Electrical Engineering, Chongqing University,Singapore
  2. Department of Energy, Politecnico di Torino, Torino,Italy
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2023.08530
  CLC：
- Published：01 March 2025
- 稿件说明：
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Yiyao Zhou, Qianggang Wang, Xiaolong Xu, et al. Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 944-948.
DOI：

Yiyao Zhou, Qianggang Wang, Xiaolong Xu, et al. Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 944-948. DOI： 10.17775/CSEEJPES.2023.08530.

摘要

Abstract

Optimal Power Flow (OPF) plays a crucial role in optimization and operation of the bipolar DC distribution network (Bi-DCDN). However

existing OPF models encounter difficulties in the power optimization of Bi-DCDNs due to the optimal power expressed as a product form

i.e.

the product of voltage and current. Hence

this brief formulates the OPF problem of Bi-DCDNs using the branch flow model (BFM). The BFM employs power

instead of current

to account for the unique structure of Bi-DCDNs. Convex relaxation and linear approximation are sequentially applied to reformulate the BFM-based OPF

presenting it as a second-order cone programming (SOCP) problem. Further

the effectiveness of the proposed OPF model is verified in case studies. The numerical results demonstrate that the BFM-based OPF is a feasible and promising approach for Bi-DCDNs.

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