HBA-VSG Joint Optimization of Distribution Network Voltage Control Under Cloud-Edge Collaboration Architecture

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Authors: Dongli Jia, Tianyuan Kang, Shuai Wang, Xueshun Ye
Cited by: 1
References: 17

Abstract

High-penetration integration of distributed photovoltaics (PV) into distribution networks introduces significant challenges regarding voltage limit violations and fluctuations. To address these issues, this manuscript proposes a hierarchical coordinated voltage control strategy for medium- and low-voltage distribution networks utilizing a cloud-edge collaboration architecture. The research methodology involves constructing a multi-objective optimization model at the cloud layer to minimize network losses and voltage deviations, solved via an improved Honey Badger Algorithm (HBA). Simultaneously, at the edge layer, a multi-mode coordinated control strategy incorporating Virtual Synchronous Generator (VSG) technology is developed to provide fast reactive power support and inertial response. Through simulation analysis on an IEEE 33-node test system, the findings demonstrate that the proposed strategy significantly mitigates voltage fluctuations and enhances the hosting capacity of distributed energy resources. The study concludes that the cloud-edge framework effectively decouples control time-scales, ensuring both global economic operation and local transient stability. These results are significant for advancing the resilient operation of active distribution networks with high renewable penetration.

Fields of Study & Subjects

Optimal Power Flow Distribution Microgrid Control and Optimization Islanding Detection in Power Systems

Publication details

Journal / source
Sustainability
Publisher
MDPI AG
Volume
18
Issue
3
Pages
1286–1286
Publication date
27 January 2026
Language
EN