Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm
In the process of operation, integrated energy systems encounter a series of complex optimization problems such as complex conversion of multiple types of energy, coupling of multiple types of equipment, and uneven distribution of multiple demands. In recent years and in the process of achieving the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/12/e3sconf_esat2023_03001.pdf |
| _version_ | 1797850844184444928 |
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| author | Zhao Pengxiang Zhu Jianjun Zhang Yanru Wang Qiang Yang Xian Cong Lin |
| author_facet | Zhao Pengxiang Zhu Jianjun Zhang Yanru Wang Qiang Yang Xian Cong Lin |
| author_sort | Zhao Pengxiang |
| collection | DOAJ |
| description | In the process of operation, integrated energy systems encounter a series of complex optimization problems such as complex conversion of multiple types of energy, coupling of multiple types of equipment, and uneven distribution of multiple demands. In recent years and in the process of achieving the goal of "double carbon" in China, more and more problems of optimal scheduling of biomass integrated energy systems have become hot topics of research. In this paper, we propose an artificial bee colony algorithmbased operation and scheduling method for a biomass fuel cell (SOFC) cooling, heating, and power triplesupply system with the objective function of maximizing the economic profit of the integrated energy system (including fuel, operation, and maintenance costs), and the constraints of energy conservation, system safety, and operation state. The equipment included are biomass boiler and corresponding steam turbine, biogas digester, SOFC, gas storage tank, etc. The results of the algorithm include the economic benefits of using the artificial bee colony algorithm for the same load scenario. The operational scheduling results show that the artificial bee colony algorithm is able to maximize the profitability of the integrated energy system while reducing carbon emissions. |
| first_indexed | 2024-04-09T19:07:02Z |
| format | Article |
| id | doaj.art-7aac63ecbd254908b07963572822873e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-09T19:07:02Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-7aac63ecbd254908b07963572822873e2023-04-07T08:57:03ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013750300110.1051/e3sconf/202337503001e3sconf_esat2023_03001Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithmZhao Pengxiang0Zhu Jianjun1Zhang Yanru2Wang Qiang3Yang Xian4Cong Lin5State Grid Integrated Energy Service Group Co., LtdState Grid Integrated Energy Service Group Co., LtdState Grid Integrated Energy Service Group Co., LtdState Grid Integrated Energy Service Group Co., LtdState Grid Integrated Energy Service Group Co., LtdState Grid Integrated Energy Service Group Co., LtdIn the process of operation, integrated energy systems encounter a series of complex optimization problems such as complex conversion of multiple types of energy, coupling of multiple types of equipment, and uneven distribution of multiple demands. In recent years and in the process of achieving the goal of "double carbon" in China, more and more problems of optimal scheduling of biomass integrated energy systems have become hot topics of research. In this paper, we propose an artificial bee colony algorithmbased operation and scheduling method for a biomass fuel cell (SOFC) cooling, heating, and power triplesupply system with the objective function of maximizing the economic profit of the integrated energy system (including fuel, operation, and maintenance costs), and the constraints of energy conservation, system safety, and operation state. The equipment included are biomass boiler and corresponding steam turbine, biogas digester, SOFC, gas storage tank, etc. The results of the algorithm include the economic benefits of using the artificial bee colony algorithm for the same load scenario. The operational scheduling results show that the artificial bee colony algorithm is able to maximize the profitability of the integrated energy system while reducing carbon emissions.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/12/e3sconf_esat2023_03001.pdfintegrated energy systemoptimal designbiomassartificial bee colony algorithm |
| spellingShingle | Zhao Pengxiang Zhu Jianjun Zhang Yanru Wang Qiang Yang Xian Cong Lin Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm E3S Web of Conferences integrated energy system optimal design biomass artificial bee colony algorithm |
| title | Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm |
| title_full | Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm |
| title_fullStr | Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm |
| title_full_unstemmed | Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm |
| title_short | Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm |
| title_sort | economic day ahead scheduling of sofc and biomass based integrated tri generation energy system using artificial bee colony algorithm |
| topic | integrated energy system optimal design biomass artificial bee colony algorithm |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/12/e3sconf_esat2023_03001.pdf |
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