Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation
In order to achieve the economic consumption of renewable energy in a multi-energy power system including wind/PV/hydropower and energy storage, a two-tier coordinated optimal scheduling method based on generative adversarial network (GAN) scenario generation is proposed in this paper. First, an upp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1266079/full |
| _version_ | 1797660614787596288 |
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| author | Changchun Cai Changchun Cai Yuanjia Li Yuanjia Li Yaoyao He Yaoyao He Lei Guo |
| author_facet | Changchun Cai Changchun Cai Yuanjia Li Yuanjia Li Yaoyao He Yaoyao He Lei Guo |
| author_sort | Changchun Cai |
| collection | DOAJ |
| description | In order to achieve the economic consumption of renewable energy in a multi-energy power system including wind/PV/hydropower and energy storage, a two-tier coordinated optimal scheduling method based on generative adversarial network (GAN) scenario generation is proposed in this paper. First, an upper-tier optimization model for the operation of the load and storage system is established to achieve the objective of minimizing the load fluctuation and the cost of energy storage plants. Furthermore, a lower-tier optimization model to minimize the system operation cost and tide risk is established for the optimization operation of renewable energy generation. Second, an improved generative adversarial network is proposed to generate the operation scenes for evaluating the uncertainty characteristics of the wind and photovoltaic (PV) generation. Then, an improved coati optimization algorithm (COA) is used to solve the proposed optimization problem. Finally, the IEEE 30-bus system is selected as the example system for verifying the proposed method. The simulation results corroborate the validity and feasibility of the proposed method. |
| first_indexed | 2024-03-11T18:32:27Z |
| format | Article |
| id | doaj.art-f3757263bd384cf79bbfd0ced1d2cdbc |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-11T18:32:27Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-f3757263bd384cf79bbfd0ced1d2cdbc2023-10-13T10:50:08ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-10-011110.3389/fenrg.2023.12660791266079Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generationChangchun Cai0Changchun Cai1Yuanjia Li2Yuanjia Li3Yaoyao He4Yaoyao He5Lei Guo6College of Artificial Intelligence and Automation, Hohai University, Changzhou, ChinaJiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology (Hohai University), Changzhou, ChinaJiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology (Hohai University), Changzhou, ChinaCollege of Information Sciences and Engineering, Hohai University, Changzhou, ChinaJiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology (Hohai University), Changzhou, ChinaCollege of Information Sciences and Engineering, Hohai University, Changzhou, ChinaState Grid Shanghai Municipal Jinshan Electric Power Company, Shanghai, ChinaIn order to achieve the economic consumption of renewable energy in a multi-energy power system including wind/PV/hydropower and energy storage, a two-tier coordinated optimal scheduling method based on generative adversarial network (GAN) scenario generation is proposed in this paper. First, an upper-tier optimization model for the operation of the load and storage system is established to achieve the objective of minimizing the load fluctuation and the cost of energy storage plants. Furthermore, a lower-tier optimization model to minimize the system operation cost and tide risk is established for the optimization operation of renewable energy generation. Second, an improved generative adversarial network is proposed to generate the operation scenes for evaluating the uncertainty characteristics of the wind and photovoltaic (PV) generation. Then, an improved coati optimization algorithm (COA) is used to solve the proposed optimization problem. Finally, the IEEE 30-bus system is selected as the example system for verifying the proposed method. The simulation results corroborate the validity and feasibility of the proposed method.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1266079/fulloptimized schedulingscene generationtwo-tier optimizationimproved coati optimization algorithmgenerative adversarial network |
| spellingShingle | Changchun Cai Changchun Cai Yuanjia Li Yuanjia Li Yaoyao He Yaoyao He Lei Guo Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation Frontiers in Energy Research optimized scheduling scene generation two-tier optimization improved coati optimization algorithm generative adversarial network |
| title | Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation |
| title_full | Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation |
| title_fullStr | Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation |
| title_full_unstemmed | Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation |
| title_short | Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation |
| title_sort | two tier coordinated optimal scheduling of wind pv hydropower and storage systems based on generative adversarial network scene generation |
| topic | optimized scheduling scene generation two-tier optimization improved coati optimization algorithm generative adversarial network |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1266079/full |
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