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

Author

Listed:
  • Dongli Jia

    (China Electric Power Research Institute, Beijing 100192, China)

  • Tianyuan Kang

    (China Electric Power Research Institute, Beijing 100192, China)

  • Shuai Wang

    (China Electric Power Research Institute, Beijing 100192, China)

  • Xueshun Ye

    (China Electric Power Research Institute, Beijing 100192, China)

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.

Suggested Citation

  • Dongli Jia & Tianyuan Kang & Shuai Wang & Xueshun Ye, 2026. "HBA-VSG Joint Optimization of Distribution Network Voltage Control Under Cloud-Edge Collaboration Architecture," Sustainability, MDPI, vol. 18(3), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:3:p:1286-:d:1849999
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