Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production
The polysilicon production process has significant potential to be made adjustable, and actively changing its production schedule to participate in grid dispatch can effectively alleviate the pressure on the power supply and balance demand while promoting renewable energy consumption. Considering th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/23/6048 |
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| author | Xi Wang Baorui Chen Yuduo Xiao Siyang Liao Xi Ye Jiayu Bai |
| author_facet | Xi Wang Baorui Chen Yuduo Xiao Siyang Liao Xi Ye Jiayu Bai |
| author_sort | Xi Wang |
| collection | DOAJ |
| description | The polysilicon production process has significant potential to be made adjustable, and actively changing its production schedule to participate in grid dispatch can effectively alleviate the pressure on the power supply and balance demand while promoting renewable energy consumption. Considering the complex inter-coupling relationship between the sequential requirements and adjustable potential of polysilicon production, this paper analyzes the electricity consumption characteristics of various stages of a polysilicon production process that uses the improved Siemens method as its primary approach to production. The interaction between the polysilicon production process, equipment, and materials is modeled through the state–task network method, and the production timing requirements are transformed into constraint expressions. An optimized scheduling model that includes the production’s sequential requirements within a time-of-use electricity pricing context is established. Our analysis shows that the proposed model can formulate a feasible production plan with the lowest power purchase cost for polysilicon plants while meeting the production’s sequential requirements and product order demands. |
| format | Article |
| id | doaj-art-24d8f34d8ac04a8b83f434dd8ff1e86e |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-24d8f34d8ac04a8b83f434dd8ff1e86e2024-12-13T16:25:53ZengMDPI AGEnergies1996-10732024-12-011723604810.3390/en17236048Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon ProductionXi Wang0Baorui Chen1Yuduo Xiao2Siyang Liao3Xi Ye4Jiayu Bai5State Grid Sichuan Electric Power Research Institute, Chengdu 610041, ChinaState Grid Sichuan Electric Power Research Institute, Chengdu 610041, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaState Grid Sichuan Electric Power Company, Chengdu 610041, ChinaState Grid Sichuan Electric Power Research Institute, Chengdu 610041, ChinaThe polysilicon production process has significant potential to be made adjustable, and actively changing its production schedule to participate in grid dispatch can effectively alleviate the pressure on the power supply and balance demand while promoting renewable energy consumption. Considering the complex inter-coupling relationship between the sequential requirements and adjustable potential of polysilicon production, this paper analyzes the electricity consumption characteristics of various stages of a polysilicon production process that uses the improved Siemens method as its primary approach to production. The interaction between the polysilicon production process, equipment, and materials is modeled through the state–task network method, and the production timing requirements are transformed into constraint expressions. An optimized scheduling model that includes the production’s sequential requirements within a time-of-use electricity pricing context is established. Our analysis shows that the proposed model can formulate a feasible production plan with the lowest power purchase cost for polysilicon plants while meeting the production’s sequential requirements and product order demands.https://www.mdpi.com/1996-1073/17/23/6048polycrystalline siliconsequential requirementsstate–task networkdemand response |
| spellingShingle | Xi Wang Baorui Chen Yuduo Xiao Siyang Liao Xi Ye Jiayu Bai Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production Energies polycrystalline silicon sequential requirements state–task network demand response |
| title | Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production |
| title_full | Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production |
| title_fullStr | Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production |
| title_full_unstemmed | Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production |
| title_short | Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production |
| title_sort | optimized scheduling model considering the demand response and sequential requirements of polysilicon production |
| topic | polycrystalline silicon sequential requirements state–task network demand response |
| url | https://www.mdpi.com/1996-1073/17/23/6048 |
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