Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty
To further enhance the supply-demand flexibility of integrated energy systems （IES） and achieve low-carbon economic operation， this paper proposes an optimal IES scheduling strategy that accounts for demand response uncertainty and supply-demand responsiveness. First， a refined two-stage power-to-ga...
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| Format: | Article |
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zhejiang electric power
2025-03-01
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| Series: | Zhejiang dianli |
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| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=5b1872ab-149a-4691-91ef-f283233e0293 |
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| author | XU Huihui ZHAO Yuyang TIAN Yunfei PENG Jing XU Yayin LIANG Ning |
| author_facet | XU Huihui ZHAO Yuyang TIAN Yunfei PENG Jing XU Yayin LIANG Ning |
| author_sort | XU Huihui |
| collection | DOAJ |
| description | To further enhance the supply-demand flexibility of integrated energy systems （IES） and achieve low-carbon economic operation， this paper proposes an optimal IES scheduling strategy that accounts for demand response uncertainty and supply-demand responsiveness. First， a refined two-stage power-to-gas （P2G） operational model is established based on the traditional P2G operation process. This model is coupled with carbon capture， combined heat and power （CHP）， and gas boiler systems to develop a supply-side flexible response model， enabling diversified and flexible utilization of hydrogen energy. Second， to address the uncertainty of demand-side participation in response， a comprehensive flexible response model incorporating fuzzy chance constraints is developed. This model is converted into a deterministic using an equivalent clear method. Finally， a tiered carbon trading mechanism is introduced， and an optimal scheduling model is constructed with the objective of minimizing the total operational cost of the IES. Simulation analyses validate the effectiveness of the proposed strategy. |
| format | Article |
| id | doaj-art-67949228dab1445eb825874a1410fc84 |
| institution | OA Journals |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-03-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-67949228dab1445eb825874a1410fc842025-08-20T02:10:53Zzhozhejiang electric powerZhejiang dianli1007-18812025-03-01443536110.19585/j.zjdl.2025030061007-1881（2025）03-0053-09Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertaintyXU Huihui0ZHAO Yuyang1TIAN Yunfei2PENG Jing3XU Yayin4LIANG Ning5Institute of Economic Technology， State Grid Gansu Electric Power Company， Lanzhou 730050， ChinaInstitute of Economic Technology， State Grid Gansu Electric Power Company， Lanzhou 730050， ChinaInstitute of Economic Technology， State Grid Gansu Electric Power Company， Lanzhou 730050， ChinaInstitute of Economic Technology， State Grid Gansu Electric Power Company， Lanzhou 730050， ChinaFaculty of Electric Power Engineering， Kunming University of Science and Technology， Kunming 650500， ChinaFaculty of Electric Power Engineering， Kunming University of Science and Technology， Kunming 650500， ChinaTo further enhance the supply-demand flexibility of integrated energy systems （IES） and achieve low-carbon economic operation， this paper proposes an optimal IES scheduling strategy that accounts for demand response uncertainty and supply-demand responsiveness. First， a refined two-stage power-to-gas （P2G） operational model is established based on the traditional P2G operation process. This model is coupled with carbon capture， combined heat and power （CHP）， and gas boiler systems to develop a supply-side flexible response model， enabling diversified and flexible utilization of hydrogen energy. Second， to address the uncertainty of demand-side participation in response， a comprehensive flexible response model incorporating fuzzy chance constraints is developed. This model is converted into a deterministic using an equivalent clear method. Finally， a tiered carbon trading mechanism is introduced， and an optimal scheduling model is constructed with the objective of minimizing the total operational cost of the IES. Simulation analyses validate the effectiveness of the proposed strategy.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=5b1872ab-149a-4691-91ef-f283233e0293demand response uncertaintysupply-demand responsivenessieslow-carbon economyoptimal scheduling |
| spellingShingle | XU Huihui ZHAO Yuyang TIAN Yunfei PENG Jing XU Yayin LIANG Ning Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty Zhejiang dianli demand response uncertainty supply-demand responsiveness ies low-carbon economy optimal scheduling |
| title | Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty |
| title_full | Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty |
| title_fullStr | Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty |
| title_full_unstemmed | Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty |
| title_short | Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty |
| title_sort | optimal scheduling of integrated energy system considering supply side flexible response and demand response uncertainty |
| topic | demand response uncertainty supply-demand responsiveness ies low-carbon economy optimal scheduling |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=5b1872ab-149a-4691-91ef-f283233e0293 |
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