Fast Local Voltage Control under Limited Reactive Power: Optimality and Stability Analysis
Not on the map. Why?
Abstract (arXiv)
High penetration of distributed energy resources presents several challenges and opportunities for voltage regulation in power distribution systems. A local reactive power (VAR) control framework will be developed that can fast respond to voltage mismatch and address the robustness issues of (de-)centralized approaches against communication delays and noises. Using local bus voltage measurements, the proposed gradient-projection based schemes explicitly account for the VAR limit of every bus, and are proven convergent to a surrogate centralized problem with proper parameter choices. This optimality result quantifies the capability of local VAR control without requiring any real-time communications. The proposed framework and analysis generalize earlier results on the droop VAR control design, which may suffer from under-utilization of VAR resources in order to ensure stability. Numerical tests have demonstrated the validity of our analytical results and the effectiveness of proposed approaches implemented on realistic three-phase systems.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2015.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 2; 2023: 1.
5 papers.
- 2021Risk-Aware Learning for Scalable Voltage Optimization in Distribution Gridscited by 5
- 2021Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devicescited by 3
- 2022Learning to Attack Powergrids with DERscited by 0
- 2022Efficient Reinforcement Learning Through Trajectory Generationcited by 0
- 2023Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networkscited by 0
- 2023Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks4 Jan 2023
- 2022Efficient Reinforcement Learning Through Trajectory Generation30 Nov 2022
- 2022Learning to Attack Powergrids with DERs24 Apr 2022
- 2021Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids4 Oct 2021
- 2021Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices13 Apr 2021