Optimal scheduling of battery energy storage train and renewable power generation
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02385-w.pdf
Reference44 articles.
1. Wang S, Li F, Zhang G, Yin C (2023) Analysis of energy storage demand for peak shaving and frequency regulation of power systems with high penetration of renewable energy. Energy 267:126586
2. Wei X, Ban S, Shi X, Li P, Li Y, Zhu S, Yang C (2023) Carbon and energy storage in salt caverns under the background of carbon neutralization in China. Energy 272:127120
3. Kittner N, Lill F, Kammen DM (2017) Energy storage deployment and innovation for the clean energy transition. Nat Energy 2(9):1–6
4. He G, Michalek J, Kar S, Chen Q, Zhang D, Whitacre JF (2021) Utility-scale portable energy storage systems. Joule 5(2):379–392
5. Gayme D, Topcu U (2012) Optimal power flow with large-scale storage integration. IEEE Trans Power Syst 28(2):709–717
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