Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane
To enhance methane utilization in coal-rich regions and integrate methane power generation with distributed renewable energy systems, this study proposes a coordinated optimization dispatch model with adjustable methane-fired generation. The methodology first establishes a methane transmission model...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2025.1563828/full |
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| author | Wengang Chen Xinrui Wang RuiMin Tian Yuze Ji Helong Liu Yafei Yuan |
| author_facet | Wengang Chen Xinrui Wang RuiMin Tian Yuze Ji Helong Liu Yafei Yuan |
| author_sort | Wengang Chen |
| collection | DOAJ |
| description | To enhance methane utilization in coal-rich regions and integrate methane power generation with distributed renewable energy systems, this study proposes a coordinated optimization dispatch model with adjustable methane-fired generation. The methodology first establishes a methane transmission model incorporating virtual storage characteristics based on coal mine power supply topology and extraction processes, then develops a multi-resource optimization framework integrating wind, solar, hydropower, and methane under distribution network constraints, equipment operation limits, and coal mine safety requirements. Through case studies in a Shanxi coal mine under multiple scenarios, the results validate the model's effectiveness in improving methane utilization and coordinating hybrid energy resources, with the proposed fuzzy-enhanced IGDT (F-EIGDT) method demonstrating enhanced robustness against source-load uncertainties compared to conventional approaches. The study confirms methane's dual role as fuel and virtual storage medium in mining-area power systems, providing a safety-constrained coordination paradigm for fossil-renewable integration, while suggesting the need for further optimization of long-term storage strategies. |
| format | Article |
| id | doaj-art-85bbd67015d44914950de3e8feb1264c |
| institution | OA Journals |
| issn | 2296-598X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-85bbd67015d44914950de3e8feb1264c2025-08-20T02:07:49ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-03-011310.3389/fenrg.2025.15638281563828Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methaneWengang ChenXinrui WangRuiMin TianYuze JiHelong LiuYafei YuanTo enhance methane utilization in coal-rich regions and integrate methane power generation with distributed renewable energy systems, this study proposes a coordinated optimization dispatch model with adjustable methane-fired generation. The methodology first establishes a methane transmission model incorporating virtual storage characteristics based on coal mine power supply topology and extraction processes, then develops a multi-resource optimization framework integrating wind, solar, hydropower, and methane under distribution network constraints, equipment operation limits, and coal mine safety requirements. Through case studies in a Shanxi coal mine under multiple scenarios, the results validate the model's effectiveness in improving methane utilization and coordinating hybrid energy resources, with the proposed fuzzy-enhanced IGDT (F-EIGDT) method demonstrating enhanced robustness against source-load uncertainties compared to conventional approaches. The study confirms methane's dual role as fuel and virtual storage medium in mining-area power systems, providing a safety-constrained coordination paradigm for fossil-renewable integration, while suggesting the need for further optimization of long-term storage strategies.https://www.frontiersin.org/articles/10.3389/fenrg.2025.1563828/fullmethane power generationvirtual storage characteristics of methanewind-solarhydro-methane multi-resource coordinationfuzzy-enhanced information gap decision theory (F-EIGDT)economic dispatch |
| spellingShingle | Wengang Chen Xinrui Wang RuiMin Tian Yuze Ji Helong Liu Yafei Yuan Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane Frontiers in Energy Research methane power generation virtual storage characteristics of methane wind-solarhydro-methane multi-resource coordination fuzzy-enhanced information gap decision theory (F-EIGDT) economic dispatch |
| title | Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane |
| title_full | Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane |
| title_fullStr | Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane |
| title_full_unstemmed | Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane |
| title_short | Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane |
| title_sort | coordinated optimization scheduling of wind solar hydro and methane power generation with adjustable methane |
| topic | methane power generation virtual storage characteristics of methane wind-solarhydro-methane multi-resource coordination fuzzy-enhanced information gap decision theory (F-EIGDT) economic dispatch |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2025.1563828/full |
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