| Title: |
A Dual-Objective Voltage Optimization Method for Distribution Networks Based on a Holomorphic Embedding Time-Series Power Flow Model |
| Authors: |
Jiajun Zhang; Jiarui Wang; Haifeng Zhang; Haitao Lan; Zhongwei Ma; Shihan Chen; Fengzhang Luo; Ranfeng Mu |
| Source: |
Processes ; Volume 14 ; Issue 3 ; Pages: 564 |
| Publisher Information: |
Multidisciplinary Digital Publishing Institute |
| Publication Year: |
2026 |
| Collection: |
MDPI Open Access Publishing |
| Subject Terms: |
holomorphic embedding; power flow calculation; energy storage system; reactive power compensation; dual-objective optimization; distribution network |
| Subject Geographic: |
agris |
| Description: |
The high integration of renewables like distributed photovoltaic (PV) into medium- and low-voltage distribution networks causes bidirectional power flows, increased voltage fluctuations, and operational uncertainty. Traditional power flow models struggle to balance efficiency and accuracy for multi-period optimization. This paper proposes a dual-objective voltage optimization method based on a Holomorphic Embedding time-series power flow model. First, a recursive relationship for nodal voltage power series expansion is derived, revealing the linear superposition of first-order coefficients with power injection changes and the rapid decay of higher-order terms. A linearized analytical model neglecting higher-order terms is built, improving the computational efficiency of time-series power flow calculations while maintaining accuracy. Then, integrating energy storage systems and static var compensators, a dual-objective optimization model minimizing voltage deviation and daily operational cost is formulated. Tests on a practical 91-node rural distribution system show that the proposed power flow model maintains a voltage error below 0.25% compared to the Newton–Raphson method across various PV integration scenarios, and the optimization reduces computation time by about 61.3% versus the Second-Order Cone Programming method, validating its advantages in precision and efficiency for balancing voltage quality and economy. |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
Energy Systems; https://dx.doi.org/10.3390/pr14030564 |
| DOI: |
10.3390/pr14030564 |
| Availability: |
https://doi.org/10.3390/pr14030564 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.EC6AE852 |
| Database: |
BASE |