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Frontiers in Energy >> 2020, Volume 14, Issue 2 doi: 10.1007/s11708-020-0660-9
Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China
. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China; Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China; Energy Development Research Institute, CSG, Guangzhou 510663, China.. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China; Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China.. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China; Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, China; Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
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Keywords
generation-grid-load-storage ; energy internet ; economy-environment-energy efficiency ; multi-objective optimal allocation ; mathematical model
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