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Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production

Xi Wang, Baorui Chen, Yuduo Xiao (), Siyang Liao, Xi Ye and Jiayu Bai
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Xi Wang: State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Baorui Chen: State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Yuduo Xiao: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Siyang Liao: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Xi Ye: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Jiayu Bai: State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China

Energies, 2024, vol. 17, issue 23, 1-17

Abstract: 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.

Keywords: polycrystalline silicon; sequential requirements; state–task network; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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