Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price
Abstract When participating in demand response, the industrial adjustable load has the advantages of large capacity, high benefit, and easy management compared with commercial and residential loads. However, the stage of the production process is strongly coupled with the power consumption process,...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-07-01
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| Series: | IET Generation, Transmission & Distribution |
| Online Access: | https://doi.org/10.1049/gtd2.12412 |
| _version_ | 1798035834929152000 |
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| author | Feixiang Gong Songsong Chen Shiming Tian Jian Qin Haijing Zhang Beibei Sun Jindou Yuan Linru Jiang Yuting Xu Yong Wang |
| author_facet | Feixiang Gong Songsong Chen Shiming Tian Jian Qin Haijing Zhang Beibei Sun Jindou Yuan Linru Jiang Yuting Xu Yong Wang |
| author_sort | Feixiang Gong |
| collection | DOAJ |
| description | Abstract When participating in demand response, the industrial adjustable load has the advantages of large capacity, high benefit, and easy management compared with commercial and residential loads. However, the stage of the production process is strongly coupled with the power consumption process, especially in the steel industry. Here, a multi‐objective optimization model for the optimal scheduling of hot rolling load considering the actual production operation conditions was proposed, the model was abstracted into a vehicle routing problem (VRP) ,which is a typical combinatorial optimization problem .To minimize the cost of electricity and the risk of delivery order default, this paper considered the jump penalty value between adjacent slabs simultaneously, constructed an integrated scheduling model of hot rolling shop scheduling and power demand response, and designed a multi‐objective production scheduling algorithm based on NSGA‐II to solve the problem. The results showed that the proposed method can realize the reasonable distribution of production load under the constraints of electricity price and production. |
| first_indexed | 2024-04-11T21:03:48Z |
| format | Article |
| id | doaj.art-4081e71cc9f0475eaf7fa54f9d5ff030 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-11T21:03:48Z |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-4081e71cc9f0475eaf7fa54f9d5ff0302022-12-22T04:03:24ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952022-07-0116142840285110.1049/gtd2.12412Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU priceFeixiang Gong0Songsong Chen1Shiming Tian2Jian Qin3Haijing Zhang4Beibei Sun5Jindou Yuan6Linru Jiang7Yuting Xu8Yong Wang9China Electric Power Research Institute Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaState Grid Shandong Electric Power Co., Ltd Jinan ChinaState Grid Jibei Electric Power Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaChina Electric Power Research Institute Co., Ltd Beijing ChinaAbstract When participating in demand response, the industrial adjustable load has the advantages of large capacity, high benefit, and easy management compared with commercial and residential loads. However, the stage of the production process is strongly coupled with the power consumption process, especially in the steel industry. Here, a multi‐objective optimization model for the optimal scheduling of hot rolling load considering the actual production operation conditions was proposed, the model was abstracted into a vehicle routing problem (VRP) ,which is a typical combinatorial optimization problem .To minimize the cost of electricity and the risk of delivery order default, this paper considered the jump penalty value between adjacent slabs simultaneously, constructed an integrated scheduling model of hot rolling shop scheduling and power demand response, and designed a multi‐objective production scheduling algorithm based on NSGA‐II to solve the problem. The results showed that the proposed method can realize the reasonable distribution of production load under the constraints of electricity price and production.https://doi.org/10.1049/gtd2.12412 |
| spellingShingle | Feixiang Gong Songsong Chen Shiming Tian Jian Qin Haijing Zhang Beibei Sun Jindou Yuan Linru Jiang Yuting Xu Yong Wang Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price IET Generation, Transmission & Distribution |
| title | Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price |
| title_full | Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price |
| title_fullStr | Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price |
| title_full_unstemmed | Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price |
| title_short | Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price |
| title_sort | integrated scheduling of hot rolling production planning and power demand response considering order constraints and tou price |
| url | https://doi.org/10.1049/gtd2.12412 |
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