Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads
With the rising adoption of renewable energy sources worldwide, the uncertainty within electrical power systems is amplifying, leading to rising challenges in wind power assimilation and operational costs. In addressing these pressing issues, this research emphasizes a sophisticated modeling techniq...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10478890/ |
| _version_ | 1827290020501782528 |
|---|---|
| author | Yibo Wang Zikang Yang Xudong Zhao Hongdan Liu Dongzhe Wang Chuang Liu |
| author_facet | Yibo Wang Zikang Yang Xudong Zhao Hongdan Liu Dongzhe Wang Chuang Liu |
| author_sort | Yibo Wang |
| collection | DOAJ |
| description | With the rising adoption of renewable energy sources worldwide, the uncertainty within electrical power systems is amplifying, leading to rising challenges in wind power assimilation and operational costs. In addressing these pressing issues, this research emphasizes a sophisticated modeling technique for the energy-intensive electro-fused magnesium loads on demand. Furthermore, we introduce a coordinated scheduling approach for power systems, harnessing the regulatory capabilities of these loads. Initially, an in-depth analysis of the characteristics of the electro-fused magnesium energy-intensive load is carried out, from which a refined model is developed. Subsequently, considering the flexible regulatory potential of the electro-fused magnesium furnace apparatus, a bi-level optimization scheduling model is crafted, prioritizing the maximization of wind power absorption at the upper level and minimizing system operational costs at the lower level. The efficacy and rationale of the proposed methodology are corroborated through computational analyses. |
| first_indexed | 2024-04-24T12:01:00Z |
| format | Article |
| id | doaj.art-8fb81e9c014c478ca9675f24cbfb7069 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T12:01:00Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8fb81e9c014c478ca9675f24cbfb70692024-04-08T23:00:44ZengIEEEIEEE Access2169-35362024-01-0112477024771210.1109/ACCESS.2024.338178110478890Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium LoadsYibo Wang0https://orcid.org/0000-0001-5277-7485Zikang Yang1Xudong Zhao2Hongdan Liu3Dongzhe Wang4Chuang Liu5https://orcid.org/0000-0003-0499-2468Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Northeast Electric Power University, Jilin, ChinaKey Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Northeast Electric Power University, Jilin, ChinaKey Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Northeast Electric Power University, Jilin, ChinaKey Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Northeast Electric Power University, Jilin, ChinaKey Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Northeast Electric Power University, Jilin, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin, ChinaWith the rising adoption of renewable energy sources worldwide, the uncertainty within electrical power systems is amplifying, leading to rising challenges in wind power assimilation and operational costs. In addressing these pressing issues, this research emphasizes a sophisticated modeling technique for the energy-intensive electro-fused magnesium loads on demand. Furthermore, we introduce a coordinated scheduling approach for power systems, harnessing the regulatory capabilities of these loads. Initially, an in-depth analysis of the characteristics of the electro-fused magnesium energy-intensive load is carried out, from which a refined model is developed. Subsequently, considering the flexible regulatory potential of the electro-fused magnesium furnace apparatus, a bi-level optimization scheduling model is crafted, prioritizing the maximization of wind power absorption at the upper level and minimizing system operational costs at the lower level. The efficacy and rationale of the proposed methodology are corroborated through computational analyses.https://ieeexplore.ieee.org/document/10478890/Refined modelingwind power integrationoperational costsoptimal scheduling |
| spellingShingle | Yibo Wang Zikang Yang Xudong Zhao Hongdan Liu Dongzhe Wang Chuang Liu Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads IEEE Access Refined modeling wind power integration operational costs optimal scheduling |
| title | Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads |
| title_full | Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads |
| title_fullStr | Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads |
| title_full_unstemmed | Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads |
| title_short | Fine-Grained Modeling and Coordinated Scheduling of Source-Load With Energy-Intensive Electro-Fused Magnesium Loads |
| title_sort | fine grained modeling and coordinated scheduling of source load with energy intensive electro fused magnesium loads |
| topic | Refined modeling wind power integration operational costs optimal scheduling |
| url | https://ieeexplore.ieee.org/document/10478890/ |
| work_keys_str_mv | AT yibowang finegrainedmodelingandcoordinatedschedulingofsourceloadwithenergyintensiveelectrofusedmagnesiumloads AT zikangyang finegrainedmodelingandcoordinatedschedulingofsourceloadwithenergyintensiveelectrofusedmagnesiumloads AT xudongzhao finegrainedmodelingandcoordinatedschedulingofsourceloadwithenergyintensiveelectrofusedmagnesiumloads AT hongdanliu finegrainedmodelingandcoordinatedschedulingofsourceloadwithenergyintensiveelectrofusedmagnesiumloads AT dongzhewang finegrainedmodelingandcoordinatedschedulingofsourceloadwithenergyintensiveelectrofusedmagnesiumloads AT chuangliu finegrainedmodelingandcoordinatedschedulingofsourceloadwithenergyintensiveelectrofusedmagnesiumloads |