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.
Authors
- Zhongkai Yi (ORCID: https://orcid.org/0000-0003-2363-1123)
- Zhimin Li (ORCID: https://orcid.org/0000-0002-3576-6175)
- Junfei Wu (ORCID: https://orcid.org/0000-0001-7181-1802)
- Zifeng Lü (ORCID: https://orcid.org/0000-0001-7331-5861)
- Zhenghong Tu (ORCID: https://orcid.org/0000-0002-2456-5618)
- Ying Xu (ORCID: https://orcid.org/0009-0007-1346-7864)
Institutions
- State Grid Corporation of China (China) (CN)
- Harbin Institute of Technology (CN)
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
Funders
- National Natural Science Foundation of China