Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk
With the continuous advancement of power market reform, a cluster system composed of multiple microgrids can effectively improve the mutual support of energy between microgrids and improve the stability of system operation. This article comprehensively considers cogeneration, heat pumps, electrical...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9455858/ |
| _version_ | 1818742983814545408 |
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| author | Liu Yang Liu Tianyu He Shusen |
| author_facet | Liu Yang Liu Tianyu He Shusen |
| author_sort | Liu Yang |
| collection | DOAJ |
| description | With the continuous advancement of power market reform, a cluster system composed of multiple microgrids can effectively improve the mutual support of energy between microgrids and improve the stability of system operation. This article comprehensively considers cogeneration, heat pumps, electrical energy storage, and thermal energy storage equipment to establish a framework for a multi-microgrid system. Secondly, due to the heterogeneity of wind power output, load demand and equipment parameters of different microgrids, considering the possibility of collaboration among multiple microgrids, the essence of energy complementarity to increase overall revenue is explained. On this basis, a cooperative game optimization dispatching model for microgrid group of cooling and heating power sources considering energy interaction is proposed. The Shapley value distribution method is used to distribute the surplus value generated by the cooperation. Furthermore, considering the uncertainty of wind power and load in multi-micro grids, a stochastic programming model based on conditional value-at-risk is established. The simulation analysis shows that the model proposed in this paper can effectively improve the surplus power and heat absorption capacity of the microgrid cooperative alliance, while reducing the impact on the power interaction of the main grid. The value of the conditional risk considered is also multi-microgrid. The system provides a reference plan for the trade-off between economic benefits and risk levels. |
| first_indexed | 2024-12-18T02:21:11Z |
| format | Article |
| id | doaj.art-875ea20a7e684397a87473013fb610ee |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T02:21:11Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-875ea20a7e684397a87473013fb610ee2022-12-21T21:24:11ZengIEEEIEEE Access2169-35362021-01-019886648867310.1109/ACCESS.2021.30895919455858Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at RiskLiu Yang0https://orcid.org/0000-0002-4072-6581Liu Tianyu1He Shusen2https://orcid.org/0000-0003-1045-2476School of Electrical Engineering, Shanghai Dianji University, Shanghai, ChinaSchool of Electrical Engineering, Shanghai Dianji University, Shanghai, ChinaSchool of Electrical Engineering, Shanghai Dianji University, Shanghai, ChinaWith the continuous advancement of power market reform, a cluster system composed of multiple microgrids can effectively improve the mutual support of energy between microgrids and improve the stability of system operation. This article comprehensively considers cogeneration, heat pumps, electrical energy storage, and thermal energy storage equipment to establish a framework for a multi-microgrid system. Secondly, due to the heterogeneity of wind power output, load demand and equipment parameters of different microgrids, considering the possibility of collaboration among multiple microgrids, the essence of energy complementarity to increase overall revenue is explained. On this basis, a cooperative game optimization dispatching model for microgrid group of cooling and heating power sources considering energy interaction is proposed. The Shapley value distribution method is used to distribute the surplus value generated by the cooperation. Furthermore, considering the uncertainty of wind power and load in multi-micro grids, a stochastic programming model based on conditional value-at-risk is established. The simulation analysis shows that the model proposed in this paper can effectively improve the surplus power and heat absorption capacity of the microgrid cooperative alliance, while reducing the impact on the power interaction of the main grid. The value of the conditional risk considered is also multi-microgrid. The system provides a reference plan for the trade-off between economic benefits and risk levels.https://ieeexplore.ieee.org/document/9455858/CCHPmicrogrid groupconditional value at riskcooperative gameShapley valueparticle swarm algorithm |
| spellingShingle | Liu Yang Liu Tianyu He Shusen Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk IEEE Access CCHP microgrid group conditional value at risk cooperative game Shapley value particle swarm algorithm |
| title | Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk |
| title_full | Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk |
| title_fullStr | Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk |
| title_full_unstemmed | Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk |
| title_short | Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk |
| title_sort | coordination and optimization of cchp microgrid group game based on the interaction of electric and thermal energy considering conditional value at risk |
| topic | CCHP microgrid group conditional value at risk cooperative game Shapley value particle swarm algorithm |
| url | https://ieeexplore.ieee.org/document/9455858/ |
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