Synergy level measurement and optimization models for the supply-transmission-demand-storage system for renewable energy
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10479-024-05922-9.pdf
Reference67 articles.
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2. Chen, C., Xing, J., Li, Q., Liu, S., Ma, J., Chen, J., et al. (2021a). Wasserstein distance-based distributionally robust optimal scheduling in rural microgrid considering the coordinated interaction among source-grid-load-storage. Energy Reports, 7, 60–66. https://doi.org/10.1016/j.egyr.2021.05.073
3. Chen, J., Xu, C., Wu, Y., Li, Z., & Song, M. (2022). Drivers and trajectories of China’s renewable energy consumption. Annals of Operations Research, 313(1), 441–459. https://doi.org/10.1007/s10479-021-04131-y
4. Chen, S., Li, Z., & Li, W. (2021b). Integrating high share of renewable energy into power system using customer-sited energy storage. Renewable and Sustainable Energy Reviews, 143, 110893. https://doi.org/10.1016/j.rser.2021.110893
5. Chen, S., Liu, P., & Li, Z. (2020). Low carbon transition pathway of power sector with high penetration of renewable energy. Renewable and Sustainable Energy Reviews, 130, 109985. https://doi.org/10.1016/j.rser.2020.109985
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