Optimal configuration model of energy storage considering the improvement of voltage support capacity of new energy base
Abstract The proportion of new energy power generation installed capacity in the new power system is getting higher and higher, which leads to the gradual reduction of the support capacity of the grid voltage and the increase of the risk of system instability. Aiming at this problem, this paper establishes an optimal configuration model of energy storage considering the improvement of the voltage support capacity of the new energy base. Firstly, by analyzing the influencing factors of the voltage support strength of the power system, the generalized operating short circuit ratio is used to characterize the voltage support strength of the new energy base, and the mechanism model of the energy storage equipment on the voltage support strength of the new energy base is established. Then, to maximize the generalized operating short-circuit ratio(GOSCR), an optimal configuration model of energy storage considering the improvement of voltage support capacity of the new energy base is established. Finally, the effectiveness of the optimal configuration model of energy storage proposed in this paper is verified by an example simulation. Compared with the new energy base without optimal configuration of energy storage, the model proposed in this paper effectively improves the voltage and power stability of the new energy base.
Authors
- Shengliang Cai
- Fujie Yang (ORCID: https://orcid.org/0000-0002-4751-8101)
- Y. Y. Ding (ORCID: https://orcid.org/0009-0002-0752-3739)
- Dongning Zhao (ORCID: https://orcid.org/0000-0003-3721-3969)
- Xuebin Wang (ORCID: https://orcid.org/0000-0003-4270-7330)
- Guoqiang Lu
Institutions
- Electric Power Research Institute (US)
- State Grid Corporation of China (China) (CN)
- Risun (China) (CN)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1088/1742-6596/3065/1/012045
- Citations
- 1
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.73