Fairness and usability analysis in renewable power curtailment: A microgrid network study using bankruptcy rules
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DOI: 10.1016/j.renene.2024.120424
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- Stringer, Naomi & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2021. "Fair consumer outcomes in the balance: Data driven analysis of distributed PV curtailment," Renewable Energy, Elsevier, vol. 173(C), pages 972-986.
- Lei, Xingyu & Yang, Zhifang & Zhao, Junbo & Yu, Juan, 2022. "Data-driven assisted chance-constrained energy and reserve scheduling with wind curtailment," Applied Energy, Elsevier, vol. 321(C).
- Liu, Shiyu & Bie, Zhaohong & Lin, Jiang & Wang, Xifan, 2018. "Curtailment of renewable energy in Northwest China and market-based solutions," Energy Policy, Elsevier, vol. 123(C), pages 494-502.
- Andoni, Merlinda & Robu, Valentin & Früh, Wolf-Gerrit & Flynn, David, 2017. "Game-theoretic modeling of curtailment rules and network investments with distributed generation," Applied Energy, Elsevier, vol. 201(C), pages 174-187.
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Keywords
Bankruptcy rules; Distribution system; Fairness; Networked microgrids; Renewable curtailment; Voltage stability;All these keywords.
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