Distributed transmission-distribution coordinated voltage control: A bidirectional Anderson acceleration based master slave splitting approach

• A transmission and distribution cooperative voltage regulation framework is proposed. • A convergence improvement method combining data-driven and bidirectional Anderson acceleration is proposed. • A convex model of distributed transmission-distribution coordination is proposed. • A convergence index for transmission and distribution collaborative optimization problem is proposed and verified. As the penetration of renewable energy increases, the voltages in power systems frequently change and fluctuate significantly. A tractable coordinated voltage control model for transmission and distribution systems is formulated to make efficient control decisions and realize distributed transmission-distribution coordinated voltage control, which avoids nonlinear and non-convex terms. Subsequently, using the data-driven bidirectional Anderson acceleration method, this study proposes an improved generalized master–slave-splitting method (G-MSSM), which is employed to solve the proposed coordinated voltage control model. Finally, the convergence index is introduced and derived with a rigid mathematical proof that can quantitatively evaluate the convergence efficiency of the proposed G-MSSM. Numerical simulations illustrate the effectiveness and scalability of the proposed approach in multiple scenarios with high-penetration renewable energy. The proposed approach achieves higher computational efficiency and better convergence performance than several representative approaches in the state-of-the-art literature.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-03-28
DOI
https://doi.org/10.1016/j.ijepes.2025.110625
Citations
1
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.73

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article

Distributed transmission-distribution coordinated voltage control: A bidirectional Anderson acceleration based master slave splitting approach

Zhongkai Yi, Zhimin Li, Junfei Wu, Zifeng Lü et al.
1 citations
International Journal of Electrical Power & Energy Systems
Power System Optimization and Stability
0.73
article

Distributed transmission-distribution coordinated voltage control: A bidirectional Anderson acceleration based master slave splitting approach

Zhongkai Yi, Zhimin Li, Junfei Wu, Zifeng Lü, Zhenghong Tu, Ying Xu
article en
1 citations

Abstract

• A transmission and distribution cooperative voltage regulation framework is proposed. • A convergence improvement method combining data-driven and bidirectional Anderson acceleration is proposed. • A convex model of distributed transmission-distribution coordination is proposed. • A convergence index for transmission and distribution collaborative optimization problem is proposed and verified. As the penetration of renewable energy increases, the voltages in power systems frequently change and fluctuate significantly. A tractable coordinated voltage control model for transmission and distribution systems is formulated to make efficient control decisions and realize distributed transmission-distribution coordinated voltage control, which avoids nonlinear and non-convex terms. Subsequently, using the data-driven bidirectional Anderson acceleration method, this study proposes an improved generalized master–slave-splitting method (G-MSSM), which is employed to solve the proposed coordinated voltage control model. Finally, the convergence index is introduced and derived with a rigid mathematical proof that can quantitatively evaluate the convergence efficiency of the proposed G-MSSM. Numerical simulations illustrate the effectiveness and scalability of the proposed approach in multiple scenarios with high-penetration renewable energy. The proposed approach achieves higher computational efficiency and better convergence performance than several representative approaches in the state-of-the-art literature.

International Journal of Electrical Power & Energy SystemsVol. 167
State Grid Corporation of China (China) (CN), Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 30%
Power System Optimization and Stability
0.73
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