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