Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load
With the deep implementation of the national “dual carbon” strategy, the development of a new power system dominated by renewable energy has accelerated significantly. Electrolytic aluminum load, as an important energy-intensive industrial resource, possesses response flexibility, providing a critic...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/24/6396 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846104844429950976 |
|---|---|
| author | Yibo Jiang Zhe Wang Shiqi Bian Siyang Liao Huibin Lu |
| author_facet | Yibo Jiang Zhe Wang Shiqi Bian Siyang Liao Huibin Lu |
| author_sort | Yibo Jiang |
| collection | DOAJ |
| description | With the deep implementation of the national “dual carbon” strategy, the development of a new power system dominated by renewable energy has accelerated significantly. Electrolytic aluminum load, as an important energy-intensive industrial resource, possesses response flexibility, providing a critical pathway for the efficient utilization of renewable energy. However, ensuring the safety of its production process during demand-side response remains a key challenge. This study systematically investigates the core production constraint of electrolytic aluminum load—electrolytic bath temperature—and its impacts on chemical reaction rates, current efficiency, and production equipment. A detailed coupling relationship between core production constraints and active power regulation is established. By quantifying the effects of temperature variation on the electrolytic aluminum production process, a demand-side response control cost model for electrolytic aluminum load is proposed. Additionally, a day-ahead scheduling model is developed with the objective of minimizing system operating costs while considering the participation of electrolytic aluminum load. Simulation results demonstrate that this method significantly reduces wind curtailment and load shedding while ensuring the safety of electrolytic aluminum production. It provides a novel approach for enhancing system economic efficiency, improving renewable energy utilization, and promoting the deep integration of power systems with industrial loads. |
| format | Article |
| id | doaj-art-48e24fee83884b3d9789173762fce6e3 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-48e24fee83884b3d9789173762fce6e32024-12-27T14:23:42ZengMDPI AGEnergies1996-10732024-12-011724639610.3390/en17246396Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum LoadYibo Jiang0Zhe Wang1Shiqi Bian2Siyang Liao3Huibin Lu4State Grid (Suzhou) City & Energy Research Institute, Suzhou 215000, ChinaState Grid (Suzhou) City & Energy Research Institute, Suzhou 215000, ChinaSchool of Electrical and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical and Automation, Wuhan University, Wuhan 430072, ChinaState Grid (Suzhou) City & Energy Research Institute, Suzhou 215000, ChinaWith the deep implementation of the national “dual carbon” strategy, the development of a new power system dominated by renewable energy has accelerated significantly. Electrolytic aluminum load, as an important energy-intensive industrial resource, possesses response flexibility, providing a critical pathway for the efficient utilization of renewable energy. However, ensuring the safety of its production process during demand-side response remains a key challenge. This study systematically investigates the core production constraint of electrolytic aluminum load—electrolytic bath temperature—and its impacts on chemical reaction rates, current efficiency, and production equipment. A detailed coupling relationship between core production constraints and active power regulation is established. By quantifying the effects of temperature variation on the electrolytic aluminum production process, a demand-side response control cost model for electrolytic aluminum load is proposed. Additionally, a day-ahead scheduling model is developed with the objective of minimizing system operating costs while considering the participation of electrolytic aluminum load. Simulation results demonstrate that this method significantly reduces wind curtailment and load shedding while ensuring the safety of electrolytic aluminum production. It provides a novel approach for enhancing system economic efficiency, improving renewable energy utilization, and promoting the deep integration of power systems with industrial loads.https://www.mdpi.com/1996-1073/17/24/6396electrolytic aluminum loadproduction constraintelectrolytic bath temperaturecost modelingsource-load coordination |
| spellingShingle | Yibo Jiang Zhe Wang Shiqi Bian Siyang Liao Huibin Lu Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load Energies electrolytic aluminum load production constraint electrolytic bath temperature cost modeling source-load coordination |
| title | Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load |
| title_full | Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load |
| title_fullStr | Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load |
| title_full_unstemmed | Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load |
| title_short | Source-Load Collaborative Optimization Method Considering Core Production Constraints of Electrolytic Aluminum Load |
| title_sort | source load collaborative optimization method considering core production constraints of electrolytic aluminum load |
| topic | electrolytic aluminum load production constraint electrolytic bath temperature cost modeling source-load coordination |
| url | https://www.mdpi.com/1996-1073/17/24/6396 |
| work_keys_str_mv | AT yibojiang sourceloadcollaborativeoptimizationmethodconsideringcoreproductionconstraintsofelectrolyticaluminumload AT zhewang sourceloadcollaborativeoptimizationmethodconsideringcoreproductionconstraintsofelectrolyticaluminumload AT shiqibian sourceloadcollaborativeoptimizationmethodconsideringcoreproductionconstraintsofelectrolyticaluminumload AT siyangliao sourceloadcollaborativeoptimizationmethodconsideringcoreproductionconstraintsofelectrolyticaluminumload AT huibinlu sourceloadcollaborativeoptimizationmethodconsideringcoreproductionconstraintsofelectrolyticaluminumload |