A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system
In the process of promoting the low-carbon transformation of power systems， integrating cyber， physical， and social factors is crucial for effectively managing carbon assets on the user side and implementing low-carbon scheduling in virtual power plants （VPPs）. To this end， this paper proposes a low...
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2025-04-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=6a40e328-428a-4a8e-9c45-a22d524c6a42 |
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| _version_ | 1850191953161879552 |
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| author | ZHANG Yajie CUI Wei WU Fan SONG Jiatong WANG Ge WANG Fei |
| author_facet | ZHANG Yajie CUI Wei WU Fan SONG Jiatong WANG Ge WANG Fei |
| author_sort | ZHANG Yajie |
| collection | DOAJ |
| description | In the process of promoting the low-carbon transformation of power systems， integrating cyber， physical， and social factors is crucial for effectively managing carbon assets on the user side and implementing low-carbon scheduling in virtual power plants （VPPs）. To this end， this paper proposes a low-carbon scheduling model for VPPs based on a cyber-physical-social system （CPSS）. First， a low-carbon scheduling framework for VPPs is established under the CPSS. Then， considering the coupling characteristics of dynamic carbon emission factors and users’ response behavior over time， a user-side carbon asset development evaluation system based on carbon asset price coefficients is built to obtain an optimized user sequence for low-carbon demand response. Finally， an optimization model is proposed with the objective of minimizing carbon emissions from VPPs， and orderly scheduling is performed based on the optimized sequence. Case analysis on the IEEE 33-node system demonstrates that the proposed low-carbon scheduling method maximizes adherence to users’ electricity consumption patterns while fully exploiting user-side carbon assets， thereby achieving low-carbon scheduling for VPPs. |
| format | Article |
| id | doaj-art-5c381f6c9e584977abb8eec7d5b61ecf |
| institution | OA Journals |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-5c381f6c9e584977abb8eec7d5b61ecf2025-08-20T02:14:43Zzhozhejiang electric powerZhejiang dianli1007-18812025-04-01444506010.19585/j.zjdl.2025040061007-1881（2025）04-0050-11A low-carbon scheduling model for virtual power plants based on a cyber-physical-social systemZHANG Yajie0CUI Wei1WU Fan2SONG Jiatong3WANG Ge4WANG Fei5State Grid Xiong′an New Area Electric Power Supply Company， Baoding， Hebei 071600， ChinaState Grid Hebei Electric Power Co.， Ltd.， Shijiazhuang 050000， ChinaState Grid Fujian Electric Power Co.， Ltd. Marketing Service Center， Fuzhou 350000， ChinaDepartment of Electrical Engineering， North China Electric Power University， Baoding， Hebei 071003， ChinaDepartment of Electrical Engineering， North China Electric Power University， Baoding， Hebei 071003， ChinaDepartment of Electrical Engineering， North China Electric Power University， Baoding， Hebei 071003， ChinaIn the process of promoting the low-carbon transformation of power systems， integrating cyber， physical， and social factors is crucial for effectively managing carbon assets on the user side and implementing low-carbon scheduling in virtual power plants （VPPs）. To this end， this paper proposes a low-carbon scheduling model for VPPs based on a cyber-physical-social system （CPSS）. First， a low-carbon scheduling framework for VPPs is established under the CPSS. Then， considering the coupling characteristics of dynamic carbon emission factors and users’ response behavior over time， a user-side carbon asset development evaluation system based on carbon asset price coefficients is built to obtain an optimized user sequence for low-carbon demand response. Finally， an optimization model is proposed with the objective of minimizing carbon emissions from VPPs， and orderly scheduling is performed based on the optimized sequence. Case analysis on the IEEE 33-node system demonstrates that the proposed low-carbon scheduling method maximizes adherence to users’ electricity consumption patterns while fully exploiting user-side carbon assets， thereby achieving low-carbon scheduling for VPPs.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=6a40e328-428a-4a8e-9c45-a22d524c6a42vpplow-carbon schedulinguser-side carbon asset developmentcarbon emission flow theoryusers’ carbon asset price coefficients |
| spellingShingle | ZHANG Yajie CUI Wei WU Fan SONG Jiatong WANG Ge WANG Fei A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system Zhejiang dianli vpp low-carbon scheduling user-side carbon asset development carbon emission flow theory users’ carbon asset price coefficients |
| title | A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system |
| title_full | A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system |
| title_fullStr | A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system |
| title_full_unstemmed | A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system |
| title_short | A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system |
| title_sort | low carbon scheduling model for virtual power plants based on a cyber physical social system |
| topic | vpp low-carbon scheduling user-side carbon asset development carbon emission flow theory users’ carbon asset price coefficients |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=6a40e328-428a-4a8e-9c45-a22d524c6a42 |
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