Haochen Hua, Xingchen Wu, Xingying Chen, 等. Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(2):969-981.
Haochen Hua, Xingchen Wu, Xingying Chen, et al. Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework[J]. CSEE Journal of Power and Energy Systems, 2026, 12(2): 969-981.
Haochen Hua, Xingchen Wu, Xingying Chen, 等. Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(2):969-981. DOI: 10.17775/CSEEJPES.2023.07270.
Haochen Hua, Xingchen Wu, Xingying Chen, et al. Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework[J]. CSEE Journal of Power and Energy Systems, 2026, 12(2): 969-981. DOI: 10.17775/CSEEJPES.2023.07270.
Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework
In the regional integrated energy system (RIES) with multi-participation of user side
supply side
and integrated energy retailer (IER)
the interaction and collaboration among various participants in a multi-energy trading mode are difficult to reveal under the conventional vertical integrated structure
which poses challenges to achieve an economical and low-carbon operation of RIES. This paper proposes a cloud-edge cooperative framework-based electricity-heat collaborative optimization strategy to address this issue. The multi-energy trading considering carbon trading process is embedded within the cloud-edge coordination framework
where IER is considered as the cloud side. In contrast
the user and supply sides are considered the edge sides
and the success-history-based adaptive differential evolution (SHADE) algorithm is adopted to obtain the interaction strategy. The simulation demonstrates that compared to the conventional vertical integrated structure
the RIES's carbon emissions have decreased by 2.4% and transaction costs have decreased by 3.4%.