Distributed Online Voltage Control in Distribution Network: A Two-Stage Real-Time Implementation

The increasing integration of renewable-based distributed generation (DG) brings growing challenges to distribution network (DN) voltage control. To address this issue, a two-stage distributed online voltage control framework (TDO-VC) is proposed in this paper. In the proposed method, legacy voltage control devices are controlled in the upper stage on an hourly timescale, while DGs operate autonomously online in the lower stage to remove instantaneous voltage violations. The idea of receding horizon control is applied in the upper stage to comprehensively consider the current and future renewable generation, and the generalized fast dual ascent (Gf-DA) is employed in the lower stage to effectively manage DGs through near real-time optimization. The effectiveness of the proposed TDO-VC is demonstrated by rigorous theoretical analysis and case studies on IEEE-123 bus system.

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Publication Details

Journal
CSEE Journal of Power and Energy Systems
Published
2025-01-01
DOI
https://doi.org/10.17775/cseejpes.2024.08000
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
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article

Distributed Online Voltage Control in Distribution Network: A Two-Stage Real-Time Implementation

CSEE Journal of Power and Energy Systems
Optimal Power Flow Distribution
article

Distributed Online Voltage Control in Distribution Network: A Two-Stage Real-Time Implementation

article en

Abstract

The increasing integration of renewable-based distributed generation (DG) brings growing challenges to distribution network (DN) voltage control. To address this issue, a two-stage distributed online voltage control framework (TDO-VC) is proposed in this paper. In the proposed method, legacy voltage control devices are controlled in the upper stage on an hourly timescale, while DGs operate autonomously online in the lower stage to remove instantaneous voltage violations. The idea of receding horizon control is applied in the upper stage to comprehensively consider the current and future renewable generation, and the generalized fast dual ascent (Gf-DA) is employed in the lower stage to effectively manage DGs through near real-time optimization. The effectiveness of the proposed TDO-VC is demonstrated by rigorous theoretical analysis and case studies on IEEE-123 bus system.

CSEE Journal of Power and Energy Systems
Oak Ridge National Laboratory (US), University of Aberdeen (GB), Knoxville College (US), University of Tennessee at Knoxville (US), Aalborg University (DK), Tsinghua University (CN)
Openalex Percentile: Top 59%
Optimal Power Flow Distribution
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