Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism
In order to address the planning problem of integrated energy system (IES) under the goal of “dual-carbon”, this paper proposes a multi-objective planning method for IES with carbon trading mechanism based on CVaR (Conditional Value at Risk). Firstly, this paper establishes the IES energy supply equ...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-02-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1310301/full |
| _version_ | 1797311684936728576 |
|---|---|
| author | Dong Pan Li Zhang Bao Wang Jianxiong Jia Zhumeng Song Xin Zhang |
| author_facet | Dong Pan Li Zhang Bao Wang Jianxiong Jia Zhumeng Song Xin Zhang |
| author_sort | Dong Pan |
| collection | DOAJ |
| description | In order to address the planning problem of integrated energy system (IES) under the goal of “dual-carbon”, this paper proposes a multi-objective planning method for IES with carbon trading mechanism based on CVaR (Conditional Value at Risk). Firstly, this paper establishes the IES energy supply equipment model and the improved stepped carbon trading model. Moreover, this paper proposes the IES multi-objective two-layer planning model based on the consideration of carbon trading cost. The upper layer of the planning model takes the optimization of economy and environmental as the goal to realize the rational planning of the integrated energy system. The lower layer model takes the minimum operating cost as the goal to optimize the system operating conditions and verify the rationality of the planning results. Then, the uncertainty model based on mean-CVaR is established for the uncertainty of carbon trading price and new energy output in the planning process. Finally, this paper sets up cases and solves the model using non-dominated sorting genetic algorithm-II (NSGA-II) and solver, which shows that the proposed method can realize the IES low-carbon planning while guaranteeing the economy. |
| first_indexed | 2024-03-08T02:03:16Z |
| format | Article |
| id | doaj.art-ee5756b6333f4098b0ba7f6d43757366 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-08T02:03:16Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-ee5756b6333f4098b0ba7f6d437573662024-02-14T04:45:42ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-02-011210.3389/fenrg.2024.13103011310301Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanismDong Pan0Li Zhang1Bao Wang2Jianxiong Jia3Zhumeng Song4Xin Zhang5Economic and Technological Research Institute of State Grid Anhui Electric Power Company, Hefei, ChinaEconomic and Technological Research Institute of State Grid Anhui Electric Power Company, Hefei, ChinaEconomic and Technological Research Institute of State Grid Anhui Electric Power Company, Hefei, ChinaEconomic and Technological Research Institute of State Grid Anhui Electric Power Company, Hefei, ChinaEconomic and Technological Research Institute of State Grid Anhui Electric Power Company, Hefei, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin, ChinaIn order to address the planning problem of integrated energy system (IES) under the goal of “dual-carbon”, this paper proposes a multi-objective planning method for IES with carbon trading mechanism based on CVaR (Conditional Value at Risk). Firstly, this paper establishes the IES energy supply equipment model and the improved stepped carbon trading model. Moreover, this paper proposes the IES multi-objective two-layer planning model based on the consideration of carbon trading cost. The upper layer of the planning model takes the optimization of economy and environmental as the goal to realize the rational planning of the integrated energy system. The lower layer model takes the minimum operating cost as the goal to optimize the system operating conditions and verify the rationality of the planning results. Then, the uncertainty model based on mean-CVaR is established for the uncertainty of carbon trading price and new energy output in the planning process. Finally, this paper sets up cases and solves the model using non-dominated sorting genetic algorithm-II (NSGA-II) and solver, which shows that the proposed method can realize the IES low-carbon planning while guaranteeing the economy.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1310301/fullIESmulti-objective planningcarbon tradinglow carbonuncertainty |
| spellingShingle | Dong Pan Li Zhang Bao Wang Jianxiong Jia Zhumeng Song Xin Zhang Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism Frontiers in Energy Research IES multi-objective planning carbon trading low carbon uncertainty |
| title | Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism |
| title_full | Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism |
| title_fullStr | Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism |
| title_full_unstemmed | Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism |
| title_short | Multi-objective planning of integrated energy system based on CVaR under carbon trading mechanism |
| title_sort | multi objective planning of integrated energy system based on cvar under carbon trading mechanism |
| topic | IES multi-objective planning carbon trading low carbon uncertainty |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1310301/full |
| work_keys_str_mv | AT dongpan multiobjectiveplanningofintegratedenergysystembasedoncvarundercarbontradingmechanism AT lizhang multiobjectiveplanningofintegratedenergysystembasedoncvarundercarbontradingmechanism AT baowang multiobjectiveplanningofintegratedenergysystembasedoncvarundercarbontradingmechanism AT jianxiongjia multiobjectiveplanningofintegratedenergysystembasedoncvarundercarbontradingmechanism AT zhumengsong multiobjectiveplanningofintegratedenergysystembasedoncvarundercarbontradingmechanism AT xinzhang multiobjectiveplanningofintegratedenergysystembasedoncvarundercarbontradingmechanism |