A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system
Abstract Identifying the must‐run capacity (MRC) could help to accelerate the unit commitment and assess market power, thus critical for achieving an efficient power system dispatch. However, the existing approaches identify the MRC without considering the ever‐strengthening interdependence between...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13080 |
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| author | Wenqi Wu Yunpeng Xiao Tao Hu Xiuli Wang |
| author_facet | Wenqi Wu Yunpeng Xiao Tao Hu Xiuli Wang |
| author_sort | Wenqi Wu |
| collection | DOAJ |
| description | Abstract Identifying the must‐run capacity (MRC) could help to accelerate the unit commitment and assess market power, thus critical for achieving an efficient power system dispatch. However, the existing approaches identify the MRC without considering the ever‐strengthening interdependence between power system and natural gas (NG) system, as well as neglecting either the uncertainties of renewables or the constraints on start‐up/shut‐down states for thermal units. To fill the gaps, this article proposes a novel model and methodology for identifying the MRC in power system considering the interdependence with NG system, with adopting a distributionally robust (DR) approach to consider the uncertainties of renewables. A constraint‐generation based algorithm is devised to solve the model, with a relax‐round‐polish based Alternating Direction Method of Multipliers (ADMM) algorithm to address the interaction between the two energy systems. Comparative studies show the effectiveness in MRC assessment over the existing approaches. |
| format | Article |
| id | doaj-art-a18e316681cd4369bf30f5c017fbf57f |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-a18e316681cd4369bf30f5c017fbf57f2025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163936394310.1049/rpg2.13080A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas systemWenqi Wu0Yunpeng Xiao1Tao Hu2Xiuli Wang3School of Electrical Engineering Xi'an Jiaotong University Xi'an ChinaSchool of Electrical Engineering Xi'an Jiaotong University Xi'an ChinaSchool of Electrical Engineering Xi'an Jiaotong University Xi'an ChinaSchool of Electrical Engineering Xi'an Jiaotong University Xi'an ChinaAbstract Identifying the must‐run capacity (MRC) could help to accelerate the unit commitment and assess market power, thus critical for achieving an efficient power system dispatch. However, the existing approaches identify the MRC without considering the ever‐strengthening interdependence between power system and natural gas (NG) system, as well as neglecting either the uncertainties of renewables or the constraints on start‐up/shut‐down states for thermal units. To fill the gaps, this article proposes a novel model and methodology for identifying the MRC in power system considering the interdependence with NG system, with adopting a distributionally robust (DR) approach to consider the uncertainties of renewables. A constraint‐generation based algorithm is devised to solve the model, with a relax‐round‐polish based Alternating Direction Method of Multipliers (ADMM) algorithm to address the interaction between the two energy systems. Comparative studies show the effectiveness in MRC assessment over the existing approaches.https://doi.org/10.1049/rpg2.13080power generation dispatchpower generation economicspower generation schedulingpower markets |
| spellingShingle | Wenqi Wu Yunpeng Xiao Tao Hu Xiuli Wang A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system IET Renewable Power Generation power generation dispatch power generation economics power generation scheduling power markets |
| title | A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system |
| title_full | A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system |
| title_fullStr | A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system |
| title_full_unstemmed | A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system |
| title_short | A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system |
| title_sort | robust must run capacity identifying approach in power system dispatch considering interdependence with natural gas system |
| topic | power generation dispatch power generation economics power generation scheduling power markets |
| url | https://doi.org/10.1049/rpg2.13080 |
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