Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow
As an integrated energy network with multi-energy flow interconnected， virtual power plants （VPPs） face difficulties such as high actual carbon emissions， insufficient new energy consumption capacity， complex optimization variables of multi-energy flow， and non-uniform optimization objectives. To th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2023-10-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=5440ec3b-0b1e-4044-93c9-4b26e3b5732b |
| _version_ | 1797644606159978496 |
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| author | LI Yichao XU Dong XU Gang LI Yun QIAO Jiacheng |
| author_facet | LI Yichao XU Dong XU Gang LI Yun QIAO Jiacheng |
| author_sort | LI Yichao |
| collection | DOAJ |
| description | As an integrated energy network with multi-energy flow interconnected， virtual power plants （VPPs） face difficulties such as high actual carbon emissions， insufficient new energy consumption capacity， complex optimization variables of multi-energy flow， and non-uniform optimization objectives. To this end， a multi-objective optimal scheduling method for virtual power plants considering carbon capture and multi-energy flow is proposed to improve the new energy consumption capacity of multi-energy flow virtual power plants and reduce carbon emissions. First， a reward and punishment ladder-type carbon trading mechanism is established based on the actual carbon emissions of the virtual power plant. Then， a dual-objective optimal scheduling model is built with the minimization of operating costs and carbon emissions as the objective function and solved by using the multi-objective salp swarm algorithm. Finally， multiple scheduling scenarios are set up to compare and analyze the performance of the multi-objective optimization algorithm. The results verify the feasibility and effectiveness of the optimal scheduling model. |
| first_indexed | 2024-03-11T14:33:21Z |
| format | Article |
| id | doaj.art-77fad138e69e4bb2a244a3838c99a105 |
| institution | Directory Open Access Journal |
| issn | 1007-1881 |
| language | zho |
| last_indexed | 2024-03-11T14:33:21Z |
| publishDate | 2023-10-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj.art-77fad138e69e4bb2a244a3838c99a1052023-10-31T06:47:29Zzhozhejiang electric powerZhejiang dianli1007-18812023-10-014210344410.19585/j.zjdl.2023100051007-1881（2023）10-0034-11Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flowLI YichaoXU DongXU GangLI YunQIAO JiachengAs an integrated energy network with multi-energy flow interconnected， virtual power plants （VPPs） face difficulties such as high actual carbon emissions， insufficient new energy consumption capacity， complex optimization variables of multi-energy flow， and non-uniform optimization objectives. To this end， a multi-objective optimal scheduling method for virtual power plants considering carbon capture and multi-energy flow is proposed to improve the new energy consumption capacity of multi-energy flow virtual power plants and reduce carbon emissions. First， a reward and punishment ladder-type carbon trading mechanism is established based on the actual carbon emissions of the virtual power plant. Then， a dual-objective optimal scheduling model is built with the minimization of operating costs and carbon emissions as the objective function and solved by using the multi-objective salp swarm algorithm. Finally， multiple scheduling scenarios are set up to compare and analyze the performance of the multi-objective optimization algorithm. The results verify the feasibility and effectiveness of the optimal scheduling model.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=5440ec3b-0b1e-4044-93c9-4b26e3b5732bvppcarbon capturemulti-energy flowmulti-objective salp swarm algorithmoptimal scheduling |
| spellingShingle | LI Yichao XU Dong XU Gang LI Yun QIAO Jiacheng Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow Zhejiang dianli vpp carbon capture multi-energy flow multi-objective salp swarm algorithm optimal scheduling |
| title | Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow |
| title_full | Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow |
| title_fullStr | Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow |
| title_full_unstemmed | Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow |
| title_short | Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow |
| title_sort | multi objective optimal scheduling of virtual power plant considering carbon capture and multi energy flow |
| topic | vpp carbon capture multi-energy flow multi-objective salp swarm algorithm optimal scheduling |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=5440ec3b-0b1e-4044-93c9-4b26e3b5732b |
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