Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS
Integrated energy systems (IESs) can improve energy efficiency and reduce carbon emissions, essential for achieving peak carbon emissions and carbon neutrality. This study investigated the characteristics of the CHP model considering P2G and carbon capture systems, and a two-stage robust optimizatio...
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-02-01
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| Series: | Global Energy Interconnection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096511724000021 |
| _version_ | 1797272507771781120 |
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| author | Bin Zhang Yihui Xia Xiaotao Peng |
| author_facet | Bin Zhang Yihui Xia Xiaotao Peng |
| author_sort | Bin Zhang |
| collection | DOAJ |
| description | Integrated energy systems (IESs) can improve energy efficiency and reduce carbon emissions, essential for achieving peak carbon emissions and carbon neutrality. This study investigated the characteristics of the CHP model considering P2G and carbon capture systems, and a two-stage robust optimization model of the electricity-heat-gas- cold integrated energy system was developed. First, a CHP model considering the P2G and carbon capture system was established, and the electric-thermal coupling characteristics and P2G capacity constraints of the model were derived, which proved that the model could weaken the electric-thermal coupling characteristics, increase the electric power regulation range, and reduce carbon emissions. Subsequently, a two-stage robust optimal scheduling model of an IES was constructed, in which the objective function in the day-ahead scheduling stage was to minimize the start-up and shutdown costs. The objective function in the real-time scheduling stage was to minimize the equipment operating costs, carbon emission costs, wind curtailment, and solar curtailment costs, considering multiple uncertainties. Finally, after the objective function is linearized with a ψ-piecewise method, the model is solved based on the C&CG algorithm. Simulation results show that the proposed model can effectively absorb renewable energy and reduce the total cost of the system. |
| first_indexed | 2024-03-07T14:30:22Z |
| format | Article |
| id | doaj.art-b8f0bb6710eb4ee8bce14c35ef9dc114 |
| institution | Directory Open Access Journal |
| issn | 2096-5117 |
| language | English |
| last_indexed | 2024-03-07T14:30:22Z |
| publishDate | 2024-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Global Energy Interconnection |
| spelling | doaj.art-b8f0bb6710eb4ee8bce14c35ef9dc1142024-03-06T05:26:32ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172024-02-01711424Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCSBin Zhang0Yihui Xia1Xiaotao Peng2School of Electrical Engineering, Naval University of Engineering, Wuhan 430000, PR ChinaSchool of Electrical Engineering, Naval University of Engineering, Wuhan 430000, PR ChinaSchool of Electrical Engineering, Wuhan University, Wuhan 430072, PR ChinaIntegrated energy systems (IESs) can improve energy efficiency and reduce carbon emissions, essential for achieving peak carbon emissions and carbon neutrality. This study investigated the characteristics of the CHP model considering P2G and carbon capture systems, and a two-stage robust optimization model of the electricity-heat-gas- cold integrated energy system was developed. First, a CHP model considering the P2G and carbon capture system was established, and the electric-thermal coupling characteristics and P2G capacity constraints of the model were derived, which proved that the model could weaken the electric-thermal coupling characteristics, increase the electric power regulation range, and reduce carbon emissions. Subsequently, a two-stage robust optimal scheduling model of an IES was constructed, in which the objective function in the day-ahead scheduling stage was to minimize the start-up and shutdown costs. The objective function in the real-time scheduling stage was to minimize the equipment operating costs, carbon emission costs, wind curtailment, and solar curtailment costs, considering multiple uncertainties. Finally, after the objective function is linearized with a ψ-piecewise method, the model is solved based on the C&CG algorithm. Simulation results show that the proposed model can effectively absorb renewable energy and reduce the total cost of the system.http://www.sciencedirect.com/science/article/pii/S2096511724000021Combined heat and powerPower-to-gasCarbon capture systemIntegrated energy systemRobust optimization |
| spellingShingle | Bin Zhang Yihui Xia Xiaotao Peng Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS Global Energy Interconnection Combined heat and power Power-to-gas Carbon capture system Integrated energy system Robust optimization |
| title | Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS |
| title_full | Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS |
| title_fullStr | Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS |
| title_full_unstemmed | Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS |
| title_short | Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS |
| title_sort | robust optimal dispatch strategy of integrated energy system considering chp p2g ccs |
| topic | Combined heat and power Power-to-gas Carbon capture system Integrated energy system Robust optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2096511724000021 |
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