Flexibility improvement and stochastic multi-scenario hybrid optimization for an integrated energy system with high-proportion renewable energy
Rujing YanSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province, ChinaJiangjiang WangSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province, ChinaShuojie HuoSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province, ChinaYanbo QinSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province, ChinaJing ZhangThe Electrical Engineering College, Guizhou University, Guiyang, Guizhou Province, ChinaSaiqiu TangElectric Power Research Institute of Guizhou Power Grid Co. Ltd, Guiyang, Guizhou Province, ChinaYuwei WangSchool of Economics and Management, North China Electric Power University, Baoding, Hebei Province, ChinaYan LiuSchool of Economics and Management, North China Electric Power University, Baoding, Hebei Province, ChinaLin ZhouSchool of Economics and Management, North China Electric Power University, Baoding, Hebei Province, China
2022en
ABI
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Cited by 20 references