Green hydrogen has shown great potential to power microgrids as a primary source, whereas the resilient operation methodology under extreme events remains an open area. To fill this gap, this letter establishes an operational optimization strategy towards resilient hydrogen-powered microgrids. The frequency and voltage regulation characteristics of primary hydrogen sources under droop control and their electrical-chemical conversion process with nonlinear stack efficiency are accurately modeled by piecewise linear constraints. A resilience-oriented multi-time-slot stochastic optimization model is then formulated for an economic and robust operation under changing uncertainties. Test results show that the new formulation can leverage the primary hydrogen sources to achieve a resilience and safety-assured operation plan, supplying maximum critical loads while significantly reducing the frequency and voltage variations.
机构:
Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
Han, Jiayi
Wang, Jianxiao
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机构:
National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
Wang, Jianxiao
He, Zhihao
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机构:
College of Electrical Engineering, Zhejiang University, Zhejiang, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
He, Zhihao
An, Qi
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机构:
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
An, Qi
Song, Yiyang
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机构:
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
Song, Yiyang
Mujeeb, Asad
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机构:
Department of Electrical Engineering, Tsinghua University, Beijing, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
Mujeeb, Asad
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机构:
Tan, Chin-Woo
Gao, Feng
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机构:
Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, ChinaDepartment of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China
Gao, Feng
Energy Conversion and Economics,
2023,
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