Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads
As the energy system continues to evolve and advance, a relatively single energy system gradually turns to the comprehensive energy system. With the advancement of technology related to electric vehicle networks progresses, the flexible load in the power system has been significantly improved, and t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723006029 |
| _version_ | 1797691980677906432 |
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| author | Qiuwen Li Dong Mo Xiangyun Kong Yufu Lu Yangdou Liang Zhencheng Liang |
| author_facet | Qiuwen Li Dong Mo Xiangyun Kong Yufu Lu Yangdou Liang Zhencheng Liang |
| author_sort | Qiuwen Li |
| collection | DOAJ |
| description | As the energy system continues to evolve and advance, a relatively single energy system gradually turns to the comprehensive energy system. With the advancement of technology related to electric vehicle networks progresses, the flexible load in the power system has been significantly improved, and there will be more and more schedulable resources in the power system. On this basis, the paper mainly studies the integrated energy system including the power station of electric driven vehicles and a variety of flexible loads. First, an intelligent energy system model is built, including wind power, ES, cogeneration units, gas boilers, etc. Secondly, according to the flexible load response of electricity, heat and gas, the dynamic response of flexible loads such as electricity, heat and natural gas is incorporated into the optimal scheduling of the integrated energy system, and a model has been created for optimizing the integrated energy system with the goal of minimizing the system operational expenses. Finally, YALMIP is utilized to formulate the problem during modeling, while CPLEX is employed as the solver to find a solution. Through the example calculation, the system operation cost is reduced by 13.04%, the wind power consumption rate is increased by 8.65%, and the peak valley difference is reduced by 24.58%. This approach has been demonstrated to lower the overall operational expenses of the system, as well as assist in smoothing out peak and off-peak electricity demand, and increase the utilization of wind power. |
| first_indexed | 2024-03-12T02:21:01Z |
| format | Article |
| id | doaj.art-40be607acad54642bdd88d917bacfb7f |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T02:21:01Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-40be607acad54642bdd88d917bacfb7f2023-09-06T04:52:17ZengElsevierEnergy Reports2352-48472023-09-01919831994Intelligent optimal scheduling strategy of IES with considering the multiple flexible loadsQiuwen Li0Dong Mo1Xiangyun Kong2Yufu Lu3Yangdou Liang4Zhencheng Liang5Corresponding author.; Guangxi Power Grid Dispatch and Control Center, Nanning 530000, ChinaGuangxi Power Grid Dispatch and Control Center, Nanning 530000, ChinaGuangxi Power Grid Dispatch and Control Center, Nanning 530000, ChinaGuangxi Power Grid Dispatch and Control Center, Nanning 530000, ChinaGuangxi Power Grid Dispatch and Control Center, Nanning 530000, ChinaGuangxi Power Grid Dispatch and Control Center, Nanning 530000, ChinaAs the energy system continues to evolve and advance, a relatively single energy system gradually turns to the comprehensive energy system. With the advancement of technology related to electric vehicle networks progresses, the flexible load in the power system has been significantly improved, and there will be more and more schedulable resources in the power system. On this basis, the paper mainly studies the integrated energy system including the power station of electric driven vehicles and a variety of flexible loads. First, an intelligent energy system model is built, including wind power, ES, cogeneration units, gas boilers, etc. Secondly, according to the flexible load response of electricity, heat and gas, the dynamic response of flexible loads such as electricity, heat and natural gas is incorporated into the optimal scheduling of the integrated energy system, and a model has been created for optimizing the integrated energy system with the goal of minimizing the system operational expenses. Finally, YALMIP is utilized to formulate the problem during modeling, while CPLEX is employed as the solver to find a solution. Through the example calculation, the system operation cost is reduced by 13.04%, the wind power consumption rate is increased by 8.65%, and the peak valley difference is reduced by 24.58%. This approach has been demonstrated to lower the overall operational expenses of the system, as well as assist in smoothing out peak and off-peak electricity demand, and increase the utilization of wind power.http://www.sciencedirect.com/science/article/pii/S2352484723006029Intelligent optimal schedulingIntegrated energy systemDemand responseRenewable energyFlexible load |
| spellingShingle | Qiuwen Li Dong Mo Xiangyun Kong Yufu Lu Yangdou Liang Zhencheng Liang Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads Energy Reports Intelligent optimal scheduling Integrated energy system Demand response Renewable energy Flexible load |
| title | Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads |
| title_full | Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads |
| title_fullStr | Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads |
| title_full_unstemmed | Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads |
| title_short | Intelligent optimal scheduling strategy of IES with considering the multiple flexible loads |
| title_sort | intelligent optimal scheduling strategy of ies with considering the multiple flexible loads |
| topic | Intelligent optimal scheduling Integrated energy system Demand response Renewable energy Flexible load |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723006029 |
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