Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game
ABSTRACT With the integration of distributed power generation into the grid, the economic incentive trading market mechanism becomes an effective method to promote carbon emission reduction in microgrids. In this paper, the carbon flow of the integrated energy system is calculated, the carbon emissi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.13104 |
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| author | Songda Li Xinmei Wang Xuying Tan Lei Li Yi Zhao Ming Yu |
| author_facet | Songda Li Xinmei Wang Xuying Tan Lei Li Yi Zhao Ming Yu |
| author_sort | Songda Li |
| collection | DOAJ |
| description | ABSTRACT With the integration of distributed power generation into the grid, the economic incentive trading market mechanism becomes an effective method to promote carbon emission reduction in microgrids. In this paper, the carbon flow of the integrated energy system is calculated, the carbon emission model and the carbon flow tracing model of the integrated energy system are established, and the optimization model aiming at low‐carbon operation of the integrated energy system is constructed based on the master–slave game model. For the user side of the energy system, the dynamic carbon price and electricity price established by the model play a good role in peaking and valley filling for the load part, improving the operation stability of the power system, realizing the optimal scheduling of the power grid system under the background of electric‐carbon coupling trading, and encouraging each microgrid entity to participate in the electric‐carbon coupling trading actively. The calculation results show that electric‐carbon coupling trading facilitates the flexible operation of power grid systems and improves economic benefits. When combined with carbon emission flow in operation, it can promote the low‐carbon and clean power system, encourage distributed renewable resources to connect to the power grid, reduce the carbon content of the power system, enable users to actively participate in low‐carbon demand response, and promote the effective carbon emission reduction of a multi‐microgrid system. |
| format | Article |
| id | doaj-art-a0204217b73b475a91fd9fc4bba70dfd |
| institution | Kabale University |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj-art-a0204217b73b475a91fd9fc4bba70dfd2025-01-31T00:22:49ZengWileyEngineering Reports2577-81962025-01-0171n/an/a10.1002/eng2.13104Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave GameSongda Li0Xinmei Wang1Xuying Tan2Lei Li3Yi Zhao4Ming Yu5Panjin Power Supply Company State Grid Liaoning Electric Power Supply CO. LTD Panjin ChinaSchool of Electric Power Shenyang Institute of Engineering Shenyang ChinaPanjin Power Supply Company State Grid Liaoning Electric Power Supply CO. LTD Panjin ChinaPanjin Power Supply Company State Grid Liaoning Electric Power Supply CO. LTD Panjin ChinaSchool of Electric Power Shenyang Institute of Engineering Shenyang ChinaSchool of Electric Power Shenyang Institute of Engineering Shenyang ChinaABSTRACT With the integration of distributed power generation into the grid, the economic incentive trading market mechanism becomes an effective method to promote carbon emission reduction in microgrids. In this paper, the carbon flow of the integrated energy system is calculated, the carbon emission model and the carbon flow tracing model of the integrated energy system are established, and the optimization model aiming at low‐carbon operation of the integrated energy system is constructed based on the master–slave game model. For the user side of the energy system, the dynamic carbon price and electricity price established by the model play a good role in peaking and valley filling for the load part, improving the operation stability of the power system, realizing the optimal scheduling of the power grid system under the background of electric‐carbon coupling trading, and encouraging each microgrid entity to participate in the electric‐carbon coupling trading actively. The calculation results show that electric‐carbon coupling trading facilitates the flexible operation of power grid systems and improves economic benefits. When combined with carbon emission flow in operation, it can promote the low‐carbon and clean power system, encourage distributed renewable resources to connect to the power grid, reduce the carbon content of the power system, enable users to actively participate in low‐carbon demand response, and promote the effective carbon emission reduction of a multi‐microgrid system.https://doi.org/10.1002/eng2.13104carbon flow tracingelectric carbon tradingintegrated energy systemmaster–slave game model |
| spellingShingle | Songda Li Xinmei Wang Xuying Tan Lei Li Yi Zhao Ming Yu Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game Engineering Reports carbon flow tracing electric carbon trading integrated energy system master–slave game model |
| title | Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game |
| title_full | Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game |
| title_fullStr | Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game |
| title_full_unstemmed | Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game |
| title_short | Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game |
| title_sort | low carbon optimal scheduling of integrated energy system based on the master slave game |
| topic | carbon flow tracing electric carbon trading integrated energy system master–slave game model |
| url | https://doi.org/10.1002/eng2.13104 |
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