Research on decision-making behavior of power suppliers considering multi-market integration and network security
The construction of a power system including renewable energy has become the direction of development for the power industry as a result of the “carbon peaking and carbon neutrality” targets. Yet because the electricity market (EM), carbon market (CM), and green certificate market (GCM) have traditi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1220751/full |
| _version_ | 1797776128894566400 |
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| author | Jiyang Qiao Min Li Jichun Liu Yi Lu Yi Sun Yang Liu Yuyan Yang |
| author_facet | Jiyang Qiao Min Li Jichun Liu Yi Lu Yi Sun Yang Liu Yuyan Yang |
| author_sort | Jiyang Qiao |
| collection | DOAJ |
| description | The construction of a power system including renewable energy has become the direction of development for the power industry as a result of the “carbon peaking and carbon neutrality” targets. Yet because the electricity market (EM), carbon market (CM), and green certificate market (GCM) have traditionally operated independently, with little interaction among them. To explore the interaction and correlation among the three markets, this paper analyzes the trading patterns and mutual influencing factors of the EM, CM and GCM and proposes the optimal decision-making model of “carbon-electricity-certificate” integration of multiple markets based on the decision-making behavior of power producers in each market. Finally, the golden jackal optimization algorithm (GJO) is used to solve the problem under the condition of network security. The simulation results show that the integration of multiple markets is more conducive to promoting the consumption of renewable energy source (RES), and also verify the feasibility and effectiveness of GJO in solving the optimal decision-making problem of power producers in EM. |
| first_indexed | 2024-03-12T22:45:33Z |
| format | Article |
| id | doaj.art-bb7363fd32dc4c7fa7e11426ad7797f1 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-12T22:45:33Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-bb7363fd32dc4c7fa7e11426ad7797f12023-07-21T06:26:09ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-07-011110.3389/fenrg.2023.12207511220751Research on decision-making behavior of power suppliers considering multi-market integration and network securityJiyang Qiao0Min Li1Jichun Liu2Yi Lu3Yi Sun4Yang Liu5Yuyan Yang6College of Electrical Engineering, Sichuan University, Chengdu, ChinaState Grid Sichuan Electric Power Company, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaState Grid Sichuan Electric Power Company, Chengdu, ChinaState Grid Sichuan Electric Power Company, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaThe construction of a power system including renewable energy has become the direction of development for the power industry as a result of the “carbon peaking and carbon neutrality” targets. Yet because the electricity market (EM), carbon market (CM), and green certificate market (GCM) have traditionally operated independently, with little interaction among them. To explore the interaction and correlation among the three markets, this paper analyzes the trading patterns and mutual influencing factors of the EM, CM and GCM and proposes the optimal decision-making model of “carbon-electricity-certificate” integration of multiple markets based on the decision-making behavior of power producers in each market. Finally, the golden jackal optimization algorithm (GJO) is used to solve the problem under the condition of network security. The simulation results show that the integration of multiple markets is more conducive to promoting the consumption of renewable energy source (RES), and also verify the feasibility and effectiveness of GJO in solving the optimal decision-making problem of power producers in EM.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1220751/fullelectricity marketcarbon marketgreen certificate marketmulti-market integrationgolden jackal optimization algorithm |
| spellingShingle | Jiyang Qiao Min Li Jichun Liu Yi Lu Yi Sun Yang Liu Yuyan Yang Research on decision-making behavior of power suppliers considering multi-market integration and network security Frontiers in Energy Research electricity market carbon market green certificate market multi-market integration golden jackal optimization algorithm |
| title | Research on decision-making behavior of power suppliers considering multi-market integration and network security |
| title_full | Research on decision-making behavior of power suppliers considering multi-market integration and network security |
| title_fullStr | Research on decision-making behavior of power suppliers considering multi-market integration and network security |
| title_full_unstemmed | Research on decision-making behavior of power suppliers considering multi-market integration and network security |
| title_short | Research on decision-making behavior of power suppliers considering multi-market integration and network security |
| title_sort | research on decision making behavior of power suppliers considering multi market integration and network security |
| topic | electricity market carbon market green certificate market multi-market integration golden jackal optimization algorithm |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1220751/full |
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