Bidirectional allocation method between source and load of carbon emission responsibility for loss in integrated energy system
Electric Power Automation EquipmentVol. 45, Issue 9, Pages: 46-53(2025)
SPECIAL COLUMN:INTEGRATED ENERGY SYSTEM WITH MULTI-ENERGY COLLABORATION|更新时间:2025-09-09
分享给微信好友或者朋友圈
导出参考文献
Bidirectional allocation method between source and load of carbon emission responsibility for loss in integrated energy system
作者机构:
1.浙江大学 电气工程学院,浙江 杭州 310027
2.国网浙江省电力有限公司杭州供电公司,浙江 杭州 310016
3.中曜达数能生态科技(浙江)有限公司,浙江 杭州 310015
作者简介:
基金信息:
the Joint Fund of National Natural Science Foundation of China(U22B2098);the Science and Technology Project of State Grid Zhejiang Electric Power Co.,Ltd(5211HZ240007)
ZHANG Yunge,BAO Zhejing,YIN Jianbing,et al.Bidirectional allocation method between source and load of carbon emission responsibility for loss in integrated energy system[J].Electric Power Automation Equipment,2025,45(09):46-53.
ZHANG Yunge,BAO Zhejing,YIN Jianbing,et al.Bidirectional allocation method between source and load of carbon emission responsibility for loss in integrated energy system[J].Electric Power Automation Equipment,2025,45(09):46-53. DOI: 10.16081/j.epae.202507020.
Bidirectional allocation method between source and load of carbon emission responsibility for loss in integrated energy system
Aiming at the unclear allocation problem of carbon emission responsibility for loss in integrated energy system among energy source and load,an exergy-based carbon emission allocation model for energy conversion equipment and a power flow tracking-based carbon emission responsibility allocation method for loss in integrated energy system are proposed. A carbon emission allocation model for energy conversion equipment is introduced considering the exergy loss,which allocates the carbon emission responsibility corresponded to the exergy loss to the energy conversion equipment and its output energy flow based on an adjustable parameter. Aiming at the energy conversion equipment with multiple output types,the output energy flow carbon emission is allocated among different types of output energy flow based on the exergy allocation method,which obtains the carbon emission intensity of different types of energy flow. According to the carbon emission allocation model of energy conversion equipment and the electricity-thermal-gas power flow model,a unified matrix calculation equation for bidirectional allocation of network loss between source and load is derived based on the power flow tracking method,the electricity-thermal-gas network loss is allocated to the source and load terminals based on the adjustable parameters,thereby the carbon emission res-ponsibility for loss at the source and load terminals are obtained. The example results verify the effectiveness and rationality of the proposed model and method. The refined and rational allocation of carbon emission responsibility for loss in integrated energy system is helpful for accurately tracking and tracing the carbon emission,enhances the carbon emission responsibility awareness of each entity,and reduces the system carbon emission.
KANG Chongqing , DU Ershun , LI Yaowang , et al . Key scienti-fic problems and research framework for carbon perspective research of new power systems [J]. Power System Technology , 2022 , 46 ( 3 ): 821 - 833 .
ZHOU Tianrui , KANG Chongqing , XU Qianyao , et al . Preliminary theoretical investigation on power system carbon emission flow [J]. Automation of Electric Power Systems , 2012 , 36 ( 7 ): 38 - 43,85 .
CHEN Lixia , SUN Tao , ZHOU Yun , et al . Method of carbon obligation allocation between generation side and demand side in power system [J]. Automation of Electric Power Systems , 2018 , 42 ( 19 ): 106 - 111 .
LI L , YANG D C , LIU Z H , et al . Optimal scheduling of regional integrated energy system considering the integration of electric vehicles and the life cycle assessment method [J]. IEEE Transactions on Industry Applications , 2024 , 60 ( 1 ): 986 - 995 .
KANG C Q , ZHOU T R , CHEN Q X , et al . Carbon emission flow from generation to demand:a network-based model [J]. IEEE Transactions on Smart Grid , 2015 , 6 ( 5 ): 2386 - 2394 .
CHENG Y H , ZHANG N , WANG Y , et al . Modeling carbon emission flow in multiple energy systems [J]. IEEE Transac-tions on Smart Grid , 2018 , 10 ( 4 ): 3562 - 3574 .
ZHANG Yumin , SUN Pengkai , JI Xingquan , et al . Low-carbon economic dispatch of integrated energy system with augmen-ted carbon emission flow [J]. Power System Technology , 2023 , 47 ( 8 ): 3174 - 3191 .
LIN X Q , CAO Y T , WANG D , et al . A carbon hub matrix model considering carbon emission flow loss of energy hub [C]∥ 2023 6th International Conference on Electrical Engi-neering and Green Energy . Grimstad,Norway : IEEE , 2023 : 270 - 274 .
CAO Yitao , WANG Dan , JIA Hongjie , et al . Calculation method for carbon emission flow in regional integrated energy system considering station-network loss allocation [J]. Automation of Electric Power Systems , 2024 , 48 ( 12 ): 14 - 23 .
KUMAR H , KHATOD D K . Loss allocation in three-phase distribution network using τ -value [J]. IEEE Transactions on Power Systems , 2024 , 39 ( 3 ): 4924 - 4934 .
LIU Jiajun , YANG Xiaoqian , CHEN Naixing , et al . Loss allocation of distribution network with small hydropower groups [J]. Smart Power , 2020 , 48 ( 7 ): 93 - 99 .
WANG Chaoqun , CHEN Yi , WEN Fushuan , et al . Improvement and perfection of carbon emission flow theory in power systems [J]. Power System Technology , 2022 , 46 ( 5 ): 1683 - 1693 .
LI Yuan , LU Shuai , GU Wei , et al . Modelling and analysis of carbon emission flow for integrated energy system considering thermal dynamic [J]. Electric Power Automation Equipment , 2024 , 44 ( 7 ): 205 - 213 .
LIU Ruijie , BAO Zhejing , LIN Zhenzhi . Distributed collaborative low-carbon economic dispatching of source,grid and load considering dual-layer carbon trading mechanism with reward and punishment [J]. Automation of Electric Power Systems , 2024 , 48 ( 9 ): 11 - 20 .
JING Weiwei , WANG Qiang , CHENG Hao , et al . New rapid decoupling methods for calculating steady-state and intervalpower flow of integrated electricity-heat energy systems [J]. Electric Power , 2024 , 57 ( 7 ): 203 - 213 .
LI J X , WANG D , JIA H J , et al . Mechanism analysis and unified calculation model of exergy flow distribution in regional integrated energy system [J]. Applied Energy , 2022 , 324 : 119725 .
YIN Chenxu , SUN Yonghui , XIE Dongliang , et al . Multi-objective cooperative optimization of electricity-gas interconnected integrated energy system from game perspective [J]. Automation of Electric Power Systems , 2024 , 48 ( 11 ): 173 - 183 .
CHEN Weicheng . Research on comprehensive evaluation method of regional integrated energy system considering exergy efficiency [D]. Beijing : North China Electric Power University , 2020 .
YANG W J , HUANG Y P , ZHANG T R , et al . Mechanism and analytical methods for carbon emission-exergy flow distribution in heat-electricity integrated energy system [J]. Applied Energy , 2023 , 352 : 121980 .
BUCHENAU N , HANNEN C , HOLZAPFEL P , et al . Allocation of carbon dioxide emissions to the by-products of combined heat and power plants:a methodological guidance [J]. Rene-wable and Sustainable Energy Transition , 2023 , 4 : 100069 .
ZHANG Shitao , GU Minghong , LI Yang . Power flow tracing method considering loss allocation [J]. Proceedings of Electric Power System and Automation , 2005 , 17 ( 4 ): 89 - 93 .
CHEN Dawei . Modelling and coordinated optimization operation of non-isothermal integrated power and natural gas systems [D]. Hangzhou : Zhejiang University , 2022 .