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

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 a...

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Bibliographic Details
Published in:	CSEE Journal of Power and Energy Systems Vol. 11; no. 2; pp. 944 - 948
Main Authors:	Yiyao Zhou, Qianggang Wang, Xiaolong Xu, Tao Huang, Jianquan Liao, Yuan Chi, Xuefei Zhang, Niancheng Zhou
Format:	Journal Article
Language:	English
Published:	China electric power research institute 2025
Subjects:	Bipolar DC distribution network branch flow model optimal power flow second-order cone programming problem
ISSN:	2096-0042
Online Access:	Get full text
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Summary:	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.
ISSN:	2096-0042
DOI:	10.17775/CSEEJPES.2023.08530