Research on energy storage planning methods for distributed renewable energy integrated rural power distribution networks

Haoshuai Jia, Renqing Feng, Hai Jiang, Chao Gao, Yue Zhao, Rui Zhang, Ziyi Xuan · 2025 · Frontiers in Energy Research

Summary. This paper develops an optimization method for placing and sizing energy storage systems in rural power networks that integrate renewable energy. Using clustering analysis of load and generation data, the researchers create a cost-minimization model and test it on a standard 33-bus system. The optimized energy storage placement reduces operational costs, cuts wind and solar curtailment losses, stabilizes voltage, and improves overall network efficiency.

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Jia, H., Feng, R., Jiang, H., Gao, C., Zhao, Y., Zhang, R., & Xuan, Z.. (2025). Research on energy storage planning methods for distributed renewable energy integrated rural power distribution networks. Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2025.1640375

@article{jia-2025-research-energy-storage-planning-methods,
  title   = {Research on energy storage planning methods for distributed renewable energy integrated rural power distribution networks},
  author  = {Haoshuai Jia and Renqing Feng and Hai Jiang and Chao Gao and Yue Zhao and Rui Zhang and Ziyi Xuan},
  journal = {Frontiers in Energy Research},
  year    = {2025},
  doi     = {10.3389/fenrg.2025.1640375},
  url     = {https://doi.org/10.3389/fenrg.2025.1640375}
}

TY  - JOUR
TI  - Research on energy storage planning methods for distributed renewable energy integrated rural power distribution networks
AU  - Haoshuai Jia
AU  - Renqing Feng
AU  - Hai Jiang
AU  - Chao Gao
AU  - Yue Zhao
AU  - Rui Zhang
AU  - Ziyi Xuan
JO  - Frontiers in Energy Research
PY  - 2025
DO  - 10.3389/fenrg.2025.1640375
UR  - https://doi.org/10.3389/fenrg.2025.1640375
ER  -

Details

DOI: 10.3389/fenrg.2025.1640375
Countries: China, United States
Regions: Asia, North America
Categories: energy, regional-innovation-systems
Added: 2026-04-28