A Chance-Constrainted Multi-Stage Planning Method for Rural Microgrids Considering Energy Self-Sustained Ability Under Extreme Off-Grid Scenarios

Yixin Liu, Yanrong Li, Shigong Jiang, Peng Li, Zhong‐Jian Liu, Huixuan Li · 2024

Summary. This paper develops a planning method for rural microgrids to improve energy independence during extreme power outages. The approach uses machine learning to forecast rural electricity demand and generate realistic wind and solar scenarios. A multi-stage optimization model then determines the best microgrid design to reliably supply power even under worst-case conditions. Testing on Chinese rural data confirms the method works.

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Liu, Y., Li, Y., Jiang, S., Li, P., Liu, Z., & Li, H.. (2024). A Chance-Constrainted Multi-Stage Planning Method for Rural Microgrids Considering Energy Self-Sustained Ability Under Extreme Off-Grid Scenarios. https://doi.org/10.23919/icems60997.2024.10920927

@article{liu-2024-chance-constrainted-multi-stage-planning,
  title   = {A Chance-Constrainted Multi-Stage Planning Method for Rural Microgrids Considering Energy Self-Sustained Ability Under Extreme Off-Grid Scenarios},
  author  = {Yixin Liu and Yanrong Li and Shigong Jiang and Peng Li and Zhong‐Jian Liu and Huixuan Li},
  year    = {2024},
  doi     = {10.23919/icems60997.2024.10920927},
  url     = {https://doi.org/10.23919/icems60997.2024.10920927}
}

TY  - JOUR
TI  - A Chance-Constrainted Multi-Stage Planning Method for Rural Microgrids Considering Energy Self-Sustained Ability Under Extreme Off-Grid Scenarios
AU  - Yixin Liu
AU  - Yanrong Li
AU  - Shigong Jiang
AU  - Peng Li
AU  - Zhong‐Jian Liu
AU  - Huixuan Li
PY  - 2024
DO  - 10.23919/icems60997.2024.10920927
UR  - https://doi.org/10.23919/icems60997.2024.10920927
ER  -

Details

DOI: 10.23919/icems60997.2024.10920927
Countries: China
Regions: Asia
Categories: energy, regional-innovation-systems, general-innovation
Added: 2026-06-01