Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment
Abstract Mine integrated energy system (MIES) promotes the utilization of derived energy, multienergy complementation, and ecological protection, but the variable condition characteristics of key energy conversion equipment bring challenges to its operation optimization. Focused on this, the paper s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1305 |
| _version_ | 1811197709940424704 |
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| author | Yong Zhang Xiaokang Wu Hejuan Hu Xiaoyan Sun Dunwei Gong |
| author_facet | Yong Zhang Xiaokang Wu Hejuan Hu Xiaoyan Sun Dunwei Gong |
| author_sort | Yong Zhang |
| collection | DOAJ |
| description | Abstract Mine integrated energy system (MIES) promotes the utilization of derived energy, multienergy complementation, and ecological protection, but the variable condition characteristics of key energy conversion equipment bring challenges to its operation optimization. Focused on this, the paper studies a MIES operation optimization model with integrated demand response under variable conditions of typical equipment. First, analyzing the coupling utilization mode of mine energy flow, a MIES operation structure including mine derived‐energy utilization and integrated demand response is constructed. Second, considering the supply characteristics of different derived energy sources, the variable condition dynamic energy efficiency model of typical energy conversion equipment is established. Furthermore, considering the flexible and controllable characteristics of multienergy loads, an integrated demand response mechanism including electric and thermal flexible loads is formed. Finally, the operation optimization model of MIES is constructed with the goal of the lowest operating costs of the system. The GUROBI solver is applied to solve the model, and experimental results under different operating scenarios show that the established MIES operation optimization model effectively improves the economy of system operation. |
| first_indexed | 2024-04-12T01:18:53Z |
| format | Article |
| id | doaj.art-9558478960404367af376d15120db88b |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-04-12T01:18:53Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj.art-9558478960404367af376d15120db88b2022-12-22T03:53:52ZengWileyEnergy Science & Engineering2050-05052022-12-0110124411443010.1002/ese3.1305Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipmentYong Zhang0Xiaokang Wu1Hejuan Hu2Xiaoyan Sun3Dunwei Gong4School of Information and Control Engineering China University of Mining and Technology Xuzhou ChinaSchool of Information and Control Engineering China University of Mining and Technology Xuzhou ChinaSchool of Information and Control Engineering China University of Mining and Technology Xuzhou ChinaSchool of Information and Control Engineering China University of Mining and Technology Xuzhou ChinaSchool of Information and Control Engineering China University of Mining and Technology Xuzhou ChinaAbstract Mine integrated energy system (MIES) promotes the utilization of derived energy, multienergy complementation, and ecological protection, but the variable condition characteristics of key energy conversion equipment bring challenges to its operation optimization. Focused on this, the paper studies a MIES operation optimization model with integrated demand response under variable conditions of typical equipment. First, analyzing the coupling utilization mode of mine energy flow, a MIES operation structure including mine derived‐energy utilization and integrated demand response is constructed. Second, considering the supply characteristics of different derived energy sources, the variable condition dynamic energy efficiency model of typical energy conversion equipment is established. Furthermore, considering the flexible and controllable characteristics of multienergy loads, an integrated demand response mechanism including electric and thermal flexible loads is formed. Finally, the operation optimization model of MIES is constructed with the goal of the lowest operating costs of the system. The GUROBI solver is applied to solve the model, and experimental results under different operating scenarios show that the established MIES operation optimization model effectively improves the economy of system operation.https://doi.org/10.1002/ese3.1305integrated demand responsemine derived energymine integrated energy systemoperation optimizationvariable conditions |
| spellingShingle | Yong Zhang Xiaokang Wu Hejuan Hu Xiaoyan Sun Dunwei Gong Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment Energy Science & Engineering integrated demand response mine derived energy mine integrated energy system operation optimization variable conditions |
| title | Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment |
| title_full | Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment |
| title_fullStr | Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment |
| title_full_unstemmed | Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment |
| title_short | Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment |
| title_sort | modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment |
| topic | integrated demand response mine derived energy mine integrated energy system operation optimization variable conditions |
| url | https://doi.org/10.1002/ese3.1305 |
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