Optimal SVG Configuration for Enhancing Transient Voltage Stability in Power Systems with High Penetrations of Renewable Energy
Static Var Generators (SVG) have been widely adopted in renewable power systems to improve voltage stability. The capacity and location of SVG installation in a renewable power system both impact the improvement effect. In this paper, we investigate the optimal SVG configuration that cost-effectively improves the voltage stability of power systems with high renewable energy penetration. First, recognizing the short-circuit ratio as a key and simple indicator of system voltage stability levels, a multi-objective optimization model is established, with objectives of improving the short-circuit ratio of renewable generators and minimizing the overall SVG installation cost. Then, we propose a modified NSGA-II algorithm to solve this model, thus obtaining the number and location for installing the SVGs in a power system. Experiments conducted on the SG118 system, which integrates renewable energy, validate the effectiveness of our proposed method. Our work presents power system operators with an effective measure to maintain the voltage stability of power systems with high penetrations of renewable energy.
Authors
- Tiezhu Wang (ORCID: https://orcid.org/0000-0003-4463-899X)
- Kui Luo (ORCID: https://orcid.org/0000-0002-3536-1485)
- Shouxiang Li (ORCID: https://orcid.org/0000-0002-1003-949X)
- Wenshuang Liu (ORCID: https://orcid.org/0009-0007-6629-2252)
- Liangyi Zhang (ORCID: https://orcid.org/0009-0009-2599-0809)
- Maobin Lu (ORCID: https://orcid.org/0000-0001-5730-5786)
- Xi Zhang (ORCID: https://orcid.org/0000-0001-7331-3292)
- Jie Yang (ORCID: https://orcid.org/0000-0002-3901-7489)
Institutions
- Beijing Institute of Technology (CN)
- North China Electric Power University (CN)
- China Electric Power Research Institute
Publication Details
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1109/iscas56072.2025.11044242
- Citations
- 1
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.53
Funders
- State Grid Corporation of China