Data-driven virtual power plant aggregation method-Reference-Cited by-同舟云学术

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Data-driven virtual power plant aggregation method

Published:2024-06-20 Issue: Volume: Page:
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Bai Xueyan,Fan Yanfang,Hao Ruixin,Yu Jiaquan

Funder

Natural Science Foundation of Xinjiang Uygur Autonomous Region

Tianshan Talent Training Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00202-024-02544-z.pdf

Reference26 articles.

1. Yang Y, Chen F (2023) Research on energy-saving coupling correlation of new energy buildings based on carbon emission effect. Sustain Energy Technol Assess 56:103043. https://doi.org/10.1016/j.seta.2023.103043

2. Sun Q, Zhou J, Lan Z, Ma X (2023) The economic influence of energy storage construction in the context of new power systems. Sustainability 15(4):3070. https://doi.org/10.3390/su15043070

3. Chen X, Pang Z, Jiang S, Zhang M, Feng J, Fu L, Shen B (2023) A novel LH2/GH2/battery multi-energy vehicle supply station using 100% local wind energy: Technical, economic and environmental perspectives. Energy 270:126871. https://doi.org/10.1016/j.energy.2023.126871

4. Wang Q, Wu W, Wang B, Wang G, Xi Y, Liu H, Wang S, Zhang J (2022) Asynchronous decomposition method for the coordinated operation of virtual power plants. IEEE Trans Power Syst 38(1):767–782. https://doi.org/10.1109/TPWRS.2022.3162329

5. Yan C, Bie Z, Liu S, Urgun D, Singh C, Xie L (2021) A reliability model for integrated energy system considering multi-energy correlation. J Mod Power Syst Clean Energy 9(4):811–825. https://doi.org/10.35833/MPCE.2020.000301

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1. Cyber-physical attack and the future energy systems: A review;Energy Reports;2024-12

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