Impact of forecast uncertainty and electricity markets on the flexibility provision and economic performance of highly-decarbonized multi-energy systems
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DOI: 10.1016/j.apenergy.2023.120825
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Cited by:
- Moon-Jong Jang & Eunsung Oh, 2024. "Deep-Reinforcement-Learning-Based Vehicle-to-Grid Operation Strategies for Managing Solar Power Generation Forecast Errors," Sustainability, MDPI, vol. 16(9), pages 1-18, May.
- Yang, Sheng & Liu, Beilin & Li, Xiaolong & Liu, Zhiqiang & Liu, Yue & Xie, Nan & Ren, Jingzheng, 2023. "Flexibility index for a distributed energy system design optimization," Renewable Energy, Elsevier, vol. 219(P1).
- Zhao, Yi-Bo & Dong, Xiao-Jian & Shen, Jia-Ni & He, Yi-Jun, 2024. "Simultaneous sizing and scheduling optimization for PV-wind-battery hybrid systems with a modified battery lifetime model: A high-resolution analysis in China," Applied Energy, Elsevier, vol. 360(C).
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Keywords
Multi-energy systems; MILP; Flexibility; Frequency control reserves; Spot market; Uncertainty;All these keywords.
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