Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework

Haochen Hua; Xingchen Wu; Xingying Chen; Hui Kong; Yizhong Sun; Qiaoyin Yang; Maria Cristina Tavares; Pathmanathan Naidoo

doi:10.17775/CSEEJPES.2023.07270

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Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework

Regular Papers | 更新时间：2026-04-16

- Carbon Reduction Oriented Regional Integrated Energy System Optimization via Cloud-Edge Cooperative Framework
- CSEE Journal of Power and Energy Systems Vol. 12, Issue 2, Pages: 969-981(2026)
- 作者机构：
  
  1. College of Energy and Electrical Engineering, Hohai University,Nanjing,China
  2. School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China
  3. School of Economics and Management, Beihang University,Beijing,China
  4. Department of Electrical Engineering, Tsinghua University,Beijing,China
  5. School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo,Brazil
  6. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, ZA, South Africa
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2023.07270
  CLC：
- Published：2026
- 稿件说明：
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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：

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.

摘要

Abstract

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%.

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