Optimal scheduling of integrated energy systems with exergy and demand responsiveness
To fairly use demand response to regulate customer load , support the economic and environmental protection, and assess the quantity and quality of the synergistic growth of the integrated energy system, a multi-objective optimum scheduling model and a solution method considering exergy efficiency a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1251273/full |
| _version_ | 1797487810450554880 |
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| author | Baorui Zhang Ruiqi Wang Ming Wang Mingyuan Wang Ke Li Yi Yan He Gao |
| author_facet | Baorui Zhang Ruiqi Wang Ming Wang Mingyuan Wang Ke Li Yi Yan He Gao |
| author_sort | Baorui Zhang |
| collection | DOAJ |
| description | To fairly use demand response to regulate customer load , support the economic and environmental protection, and assess the quantity and quality of the synergistic growth of the integrated energy system, a multi-objective optimum scheduling model and a solution method considering exergy efficiency and demand response are presented. To begin with, a mathematical model of each energy gadget is created. The electricity–gas load demand response model is then built using the price elasticity matrix, while the cooling load demand response model is built taking into account the user’s comfort temperature. On this basis, a multi-objective optimal dispatching model is developed with the optimization goals of minimizing system operation costs, reducing carbon emissions, and increasing exergy efficiency. Finally, the model is solved using NSGA-II to produce the Pareto optimal frontier solution set in various situations, and the VIKOR decision procedure is utilized to identify the complete best dispatching solution. The simulation results suggest that the proposed model can match the system’s scheduling needs in terms of numerous objectives such as economy, environmental protection, and exergy efficiency while also assuring user’s comfort. |
| first_indexed | 2024-03-09T23:54:03Z |
| format | Article |
| id | doaj.art-ef2ca8432a7e4b62b3a42eee773caa38 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-09T23:54:03Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-ef2ca8432a7e4b62b3a42eee773caa382023-11-23T16:29:45ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-11-011110.3389/fenrg.2023.12512731251273Optimal scheduling of integrated energy systems with exergy and demand responsivenessBaorui Zhang0Ruiqi Wang1Ming Wang2Mingyuan Wang3Ke Li4Yi Yan5He Gao6School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, ChinaState Grid Shandong Integrated Energy Services Co., Ltd., Jinan, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, ChinaSchool of Control Science and Engineering, Shandong University, Jinan, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, ChinaShandong Zhengchen Technology Co., Ltd., Jinan, ChinaTo fairly use demand response to regulate customer load , support the economic and environmental protection, and assess the quantity and quality of the synergistic growth of the integrated energy system, a multi-objective optimum scheduling model and a solution method considering exergy efficiency and demand response are presented. To begin with, a mathematical model of each energy gadget is created. The electricity–gas load demand response model is then built using the price elasticity matrix, while the cooling load demand response model is built taking into account the user’s comfort temperature. On this basis, a multi-objective optimal dispatching model is developed with the optimization goals of minimizing system operation costs, reducing carbon emissions, and increasing exergy efficiency. Finally, the model is solved using NSGA-II to produce the Pareto optimal frontier solution set in various situations, and the VIKOR decision procedure is utilized to identify the complete best dispatching solution. The simulation results suggest that the proposed model can match the system’s scheduling needs in terms of numerous objectives such as economy, environmental protection, and exergy efficiency while also assuring user’s comfort.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1251273/fullexergy efficiencydemand responseoptimal schedulingNSGA-IIintegrated energy systems |
| spellingShingle | Baorui Zhang Ruiqi Wang Ming Wang Mingyuan Wang Ke Li Yi Yan He Gao Optimal scheduling of integrated energy systems with exergy and demand responsiveness Frontiers in Energy Research exergy efficiency demand response optimal scheduling NSGA-II integrated energy systems |
| title | Optimal scheduling of integrated energy systems with exergy and demand responsiveness |
| title_full | Optimal scheduling of integrated energy systems with exergy and demand responsiveness |
| title_fullStr | Optimal scheduling of integrated energy systems with exergy and demand responsiveness |
| title_full_unstemmed | Optimal scheduling of integrated energy systems with exergy and demand responsiveness |
| title_short | Optimal scheduling of integrated energy systems with exergy and demand responsiveness |
| title_sort | optimal scheduling of integrated energy systems with exergy and demand responsiveness |
| topic | exergy efficiency demand response optimal scheduling NSGA-II integrated energy systems |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1251273/full |
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