Multi-objective optimization of integrated energy system considering customer satisfaction
Under the background of "dual-carbon" goal, aiming at the contradiction between operation economy and low-carbon of rural integrated energy system (IES), IES models of power-to-gas (P2G), ground source heat pump (GCHP) and energy storage devices are established. According to the perceived...
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| Format: | Article |
| Language: | zho |
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Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.
2025-03-01
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| Series: | Diance yu yibiao |
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| Online Access: | http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20220525001&flag=1&journal_id=dcyyb&year_id=2025 |
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| author | YU Wuyue JIA Yuchen HUO Limin WEN Peng GAO Liai |
| author_facet | YU Wuyue JIA Yuchen HUO Limin WEN Peng GAO Liai |
| author_sort | YU Wuyue |
| collection | DOAJ |
| description | Under the background of "dual-carbon" goal, aiming at the contradiction between operation economy and low-carbon of rural integrated energy system (IES), IES models of power-to-gas (P2G), ground source heat pump (GCHP) and energy storage devices are established. According to the perceived fuzziness of time-of-use electricity price, time-of-use gas price and heat load, the demand response model of electricity-heat-gas load is put forward. Combining the power purchase, gas purchase, carbon emission intensity of gas turbine operation and carbon dioxide absorption coefficient of P2G operation, the IES carbon emission mechanism is established. A multi-objective optimization function with improved customer satisfaction, economy and carbon emission is constructed, and MAPSO (multi-group adaptive particle swarm optimization) algorithm is used for optimization analysis, and the Pareto optimal frontier solution sets in different scenarios are obtained. The simulation results show that P2G, GCHP and other units can improve the coupling degree of energy on the supply side, adjust the energy supply mode and promote the consumption of clean energy. Multi-objective optimization with improved user satisfaction plays a positive role in improving the practicability of IES. |
| format | Article |
| id | doaj-art-6d489d2ad6184a149a1b15d81d1bf71e |
| institution | Kabale University |
| issn | 1001-1390 |
| language | zho |
| publishDate | 2025-03-01 |
| publisher | Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. |
| record_format | Article |
| series | Diance yu yibiao |
| spelling | doaj-art-6d489d2ad6184a149a1b15d81d1bf71e2025-08-20T03:42:55ZzhoHarbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.Diance yu yibiao1001-13902025-03-0162312112810.19753/j.issn1001-1390.2025.03.0151001-1390(2025)03-0121-08Multi-objective optimization of integrated energy system considering customer satisfactionYU Wuyue0JIA Yuchen1HUO Limin2WEN Peng3GAO Liai4College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, Hebei, ChinaCollege of Information Science and Technology, Hebei Agricultural University, Baoding 071000, Hebei, ChinaCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, Hebei, ChinaCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, Hebei, ChinaCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, Hebei, ChinaUnder the background of "dual-carbon" goal, aiming at the contradiction between operation economy and low-carbon of rural integrated energy system (IES), IES models of power-to-gas (P2G), ground source heat pump (GCHP) and energy storage devices are established. According to the perceived fuzziness of time-of-use electricity price, time-of-use gas price and heat load, the demand response model of electricity-heat-gas load is put forward. Combining the power purchase, gas purchase, carbon emission intensity of gas turbine operation and carbon dioxide absorption coefficient of P2G operation, the IES carbon emission mechanism is established. A multi-objective optimization function with improved customer satisfaction, economy and carbon emission is constructed, and MAPSO (multi-group adaptive particle swarm optimization) algorithm is used for optimization analysis, and the Pareto optimal frontier solution sets in different scenarios are obtained. The simulation results show that P2G, GCHP and other units can improve the coupling degree of energy on the supply side, adjust the energy supply mode and promote the consumption of clean energy. Multi-objective optimization with improved user satisfaction plays a positive role in improving the practicability of IES.http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20220525001&flag=1&journal_id=dcyyb&year_id=2025"dual-carbon" goalintegrated energy systemsupply and demand flexibilitycustomer satisfactioncarbon emissionmulti-objective optimization |
| spellingShingle | YU Wuyue JIA Yuchen HUO Limin WEN Peng GAO Liai Multi-objective optimization of integrated energy system considering customer satisfaction Diance yu yibiao "dual-carbon" goal integrated energy system supply and demand flexibility customer satisfaction carbon emission multi-objective optimization |
| title | Multi-objective optimization of integrated energy system considering customer satisfaction |
| title_full | Multi-objective optimization of integrated energy system considering customer satisfaction |
| title_fullStr | Multi-objective optimization of integrated energy system considering customer satisfaction |
| title_full_unstemmed | Multi-objective optimization of integrated energy system considering customer satisfaction |
| title_short | Multi-objective optimization of integrated energy system considering customer satisfaction |
| title_sort | multi objective optimization of integrated energy system considering customer satisfaction |
| topic | "dual-carbon" goal integrated energy system supply and demand flexibility customer satisfaction carbon emission multi-objective optimization |
| url | http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20220525001&flag=1&journal_id=dcyyb&year_id=2025 |
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