Risk-limiting dispatching strategy considering demand response in multi-energy microgrids
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DOI: 10.1016/j.apenergy.2023.122088
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Cited by:
- Zheng Shi & Lu Yan & Yingying Hu & Yao Wang & Wenping Qin & Yan Liang & Haibo Zhao & Yongming Jing & Jiaojiao Deng & Zhi Zhang, 2024. "Optimization of Operation Strategy of Multi-Islanding Microgrid Based on Double-Layer Objective," Energies, MDPI, vol. 17(18), pages 1-20, September.
- Hua, Haochen & Du, Can & Chen, Xingying & Kong, Hui & Li, Kang & Liu, Zhao & Naidoo, Pathmanathan & Lv, Mian & Hu, Nan & Fu, Ming & Li, Bing, 2024. "Optimal dispatch of multiple interconnected-integrated energy systems considering multi-energy interaction and aggregated demand response for multiple stakeholders," Applied Energy, Elsevier, vol. 376(PA).
- Zhao, Wei & Shao, Zhen & Yang, Shanlin & Lu, Xinhui, 2025. "A novel conditional diffusion model for joint source-load scenario generation considering both diversity and controllability," Applied Energy, Elsevier, vol. 377(PC).
- Yin, Linfei & Cai, Zhenjian, 2024. "Multimodal multi-objective hierarchical distributed consensus method for multimodal multi-objective economic dispatch of hierarchical distributed power systems," Energy, Elsevier, vol. 295(C).
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Keywords
Hybrid weighting; Information entropy; Multi-energy microgrid; Net load demand response; NSGA-III algorithm; Operational reliability;All these keywords.
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