Low-carbon economic configuration planning of electricity-thermal shared energy storage in multi-energy microgrid considering P2G-CCS

Hu Chao; Xie Lirong; Bian Yifan; Song Weishan; Liu Yiming; Zhang Longjun

doi:10.16081/j.epae.202508004

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Low-carbon economic configuration planning of electricity-thermal shared energy storage in multi-energy microgrid considering P2G-CCS

INTEGRATED ENERGY SYSTEM WITH MULTI-ENERGY COLLABORATION | 更新时间：2026-04-30

- Low-carbon economic configuration planning of electricity-thermal shared energy storage in multi-energy microgrid considering P2G-CCS
- Electric Power Automation Equipment Vol. 46, Issue 5, Pages: 81-90(2026)
- 作者机构：
  
  1.新疆大学电气工程学院，新疆乌鲁木齐 830017
  2.国网新疆电力有限公司信息通信公司，新疆乌鲁木齐 830000
- 作者简介：
- 基金信息：
  
  the National Natural Science Foundation of China(62463030);the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2024D01D05);the Major Science and Technology Project of Xinjiang Uygur Autonomous Region(2022A01007-4)
- DOI：10.16081/j.epae.202508004
  CLC： TM715;TK01
- Received：13 January 2025，
  
  Revised：2025-04-16，
  
  Online First：07 June 2023，
  
  Published：10 May 2026
- 稿件说明：
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胡超,谢丽蓉,卞一帆等.考虑P2G-CCS的多能源微网电热共享储能的低碳经济配置规划[J].电力自动化设备,2026,46(05):81-90.

Hu Chao,Xie Lirong,Bian Yifan,et al.Low-carbon economic configuration planning of electricity-thermal shared energy storage in multi-energy microgrid considering P2G-CCS[J].Electric Power Automation Equipment,2026,46(05):81-90.
胡超,谢丽蓉,卞一帆等.考虑P2G-CCS的多能源微网电热共享储能的低碳经济配置规划[J].电力自动化设备,2026,46(05):81-90. DOI： 10.16081/j.epae.202508004.

Hu Chao,Xie Lirong,Bian Yifan,et al.Low-carbon economic configuration planning of electricity-thermal shared energy storage in multi-energy microgrid considering P2G-CCS[J].Electric Power Automation Equipment,2026,46(05):81-90. DOI： 10.16081/j.epae.202508004.

摘要

针对多能源微网供需不匹配及储能投资成本增加的问题，以及多能源微网运行对环境的影响，提出一种考虑电转气-碳捕集与碳交易机制的多能源微网电热共享储能低碳经济配置规划方法。建立电热共享储能与多能源微网的能源共享机制。构建一个双层低碳经济配置模型，上层解决电热共享储能长时间尺度的容量配置问题，下层处理多能源微网短时间尺度的运行优化问题，并利用KKT条件对模型进行求解。考虑到多能源微网中风电、光伏出力具有不确定性，引入条件风险价值作为下层运行成本中的风险度量指标。通过算例仿真验证了所提方法的经济性和低碳性。

Abstract

Aiming at the problems of supply-demand mismatch and increased investment cost of energy sto-rage in multi-energy microgrids，as well as the influence of multi-energy microgrid operation on the environment，a low-carbon economic configuration planning method of electricity-thermal shared energy storage in multi-energy microgrid considering power to gas（P2G）-carbon capture and storage（CCS） and carbon trading mechanisms is proposed. An energy sharing mechanism between electricity-thermal shared energy storage and multi-energy microgrid is proposed. A two-layer low-carbon economic configuration model is constructed. The upper layer solves the long-time scale capacity configuration problem of electricity-thermal shared energy storage，and the lower layer deals with the short-time scale operation optimization problem of multi-energy microgrid. And the model is solved based on the KKT conditions. Considering the uncertainties of wind power and photovoltaic output in multi-energy microgrid，the conditional value at risk is introduced as a risk measurement index in the lower layer operation cost. The economic viability and low-carbon performance of the proposed method are validated through case study simulation.

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references

彭光博，向月，陈文溆乐，等 . “双碳”目标下电力系统风电装机与投资发展动力学推演及分析［J］. 电力自动化设备， 2022 ， 42 （ 11 ）： 70 - 77 .

Peng Guangbo ， Xiang Yue ， Chen Wenxule ， et al . Kinetic deduction and analysis of installed capacity and investment deve-lopment for wind power in power system under “dual carbon” target ［J］. Electric Power Automation Equipment ， 2022 ， 42 （ 11 ）： 70 - 77 .

龙传煜，张靖，何宇，等 . 基于绿证-碳交易等价交互的综合能源系统低碳优化调度［J／OL］. 电力自动化设备， 2025-12-30 . https：∥doi.org／10.16081／j.epae.202512021 https://doi.org/10.16081/j.epae.202512021 .

林锟，刘丽军，蒋怡晴，等 . 考虑改进低碳需求响应的掺氢电-气综合能源系统优化调度［J］. 电力自动化设备， 2026 ， 46 （ 2 ）： 12 - 21 .

Lin Kun ， Liu Lijun ， Jiang Yiqing ， et al . Optimal scheduling of hydrogen-blended integrated electricity-gas system considering improved low-carbon demand response ［J］. Electric Power Automation Equipment ， 2026 ， 46 （ 2 ）： 12 - 21 .

李雪，杨敏欢，张儒峰，等 . 多能源微网参与电-气多能源市场的多主体主从博弈交易策略［J］. 电力自动化设备， 2023 ， 43 （ 5 ）： 145 - 153 .

Li Xue ， Yang Minhuan ， Zhang Rufeng ， et al . Multi-agent Stac-kelberg game trading strategy of electricity-gas multi-energy market considering participation of multi-energy microgrids ［J］. Electric Power Automation Equipment ， 2023 ， 43 （ 5 ）： 145 - 153 .

刘佳佳，田铭兴，苏照旭，等 . 基于氢能多元利用与绿证-碳联合交易机制的多微网-共享储能运行优化策略［J］. 电力系统保护与控制， 2025 ， 53 （ 19 ）： 52 - 67 .

Liu Jiajia ， Tian Mingxing ， Su Zhaoxu ， et al . Operation optimization strategy for multiple microgrids with shared energy sto-rage considering multi-utilization of hydrogen and green certificate-carbon joint trading mechanism ［J］. Power System Protection and Control ， 2025 ， 53 （ 19 ）： 52 - 67 .

王杰，贾宏杰，靳小龙，等 . 基于电-氢-热P2P交易的分布式智能电网低碳优化运行方法［J］. 电力系统自动化， 2025 ， 49 （ 9 ）： 40 - 51 .

Wang Jie ， Jia Hongjie ， Jin Xiaolong ， et al . Low-carbon operation optimization method for distributed smart grid based on electricity-hydrogen-heat peer-to-peer trading ［J］. Automation of Electric Power Systems ， 2025 ， 49 （ 9 ）： 40 - 51 .

黎海涛，乔禄，谢冬雪，等 . 基于纳什竞争深度 Q 网络的综合能源微网电-热-碳联合调度策略［J／OL］. 电力自动化设备， 2026-01-07 . https：∥doi.org／10.16081／j.epae.202601001 https://doi.org/10.16081/j.epae.202601001 .

陈飞雄，郭奕鑫，邵振国，等 . 计及新能源出力相关性的多能源微网仿射实时优化调度［J］. 电网技术， 2024 ， 48 （ 8 ）： 3248 - 3257 .

Chen Feixiong ， Guo Yixin ， Shao Zhenguo ， et al . Affine real-time optimal dispatching for multi-energy microgrid with renewable energy output correlation ［J］. Power System Technology ， 2024 ， 48 （ 8 ）： 3248 - 3257 .

Zhou S Y ， Han Y ， Mahmoud K ， et al . A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation ［J］. Applied Energy ， 2023 ， 348 ： 121566 .

Liu N ， Wang J ， Wang L F . Hybrid energy sharing for multiple microgrids in an integrated heat-electricity energy system ［J］. IEEE Transactions on Sustainable Energy ， 2019 ， 10 （ 3 ）： 1139 - 1151 .

Nsafon B E K ， Butu H M ， Owolabi A B ， et al . Integrating multi-criteria analysis with PDCA cycle for sustainable energy planning in Africa：application to hybrid mini-grid system in Cameroon ［J］. Sustainable Energy Technologies and Assess-ments ， 2020 ， 37 ： 100628 .

Siqin Z ， Niu D X ， Li M Y ， et al . Distributionally robust dis-patching of multi-community integrated energy system conside-ring energy sharing and profit allocation ［J］. Applied Energy ， 2022 ， 321 ： 119202 .

Hua W Q ， Jiang J ， Sun H J ， et al . A blockchain based peer-to-peer trading framework integrating energy and carbon markets ［J］. Applied Energy ， 2020 ， 279 ： 115539 .

Xu J Z ， Yi Y Q . Multi-microgrid low-carbon economy operation strategy considering both source and load uncertainty：a Nash bargaining approach ［J］. Energy ， 2023 ， 263 ： 125712 .

Zhong X Q ， Liu Y ， Xie K ， et al . A local electricity and carbon trading method for multi-energy microgrids considering cross-chain interaction ［J］. Sensors ， 2022 ， 22 （ 18 ）： 6935 .

Long Y L ， Li Y ， Wang Y H ， et al . Low-carbon economic dis-patch considering integrated demand response and multistep carbon trading for multi-energy microgrid ［J］. Scientific Re-ports ， 2022 ， 12 ： 6218 .

Zhang Y ， Wu Q ， Ren H B ， et al . Optimal operation of multi-microgrid systems considering multi-level energy-certificate-car-bon coupling trading ［J］. Renewable Energy ， 2024 ， 227 ： 120505 .

陈昌铭，章天晗，沈子康，等 . 新型电力系统的发用电侧共享储能商业模式研究综述［J］. 电力系统自动化， 2025 ， 49 （ 15 ）： 20 - 42 .

Chen Changming ， Zhang Tianhan ， Shen Zikang ， et al . Review of shared energy storage business modes on generation and user sides in new power systems ［J］. Automation of Electric Power Systems ， 2025 ， 49 （ 15 ）： 20 - 42 .

徐艳春，刘海权，孙思涵，等 . 计及需求响应和共享储能的多微网系统双层优化调度［J］. 电力自动化设备， 2023 ， 43 （ 6 ）： 18 - 26 .

Xu Yanchun ， Liu Haiquan ， Sun Sihan ， et al . Bi-level optimal scheduling of multi-microgrid system considering demand res-ponse and shared energy storage ［J］. Electric Power Automation Equipment ， 2023 ， 43 （ 6 ）： 18 - 26 .

Song X L ， Zhang H Q ， Fan L R ， et al . Planning shared energy storage systems for the spatio-temporal coordination of multi-site renewable energy sources on the power generation side ［J］. Energy ， 2023 ， 282 ： 128976 .

Wang J X ， Xu Z ， Sun Y H ， et al . Optimal configuration and pricing strategies for electric-heat cloud energy storage：a Stackelberg game approach ［J］. Sustainable Energy Technolo-gies and Assessments ， 2022 ， 53 ： 102596 .

Bahmani R ， Karimi H ， Jadid S . Cooperative energy management of multi-energy hub systems considering demand response pro-grams and ice storage ［J］. International Journal of Electrical Power & Energy Systems ， 2021 ， 130 ： 106904 .

Dong H Y ， Fu Y B ， Jia Q Q ， et al . Optimal dispatch of integrated energy microgrid considering hybrid structured elec-tric-thermal energy storage ［J］. Renewable Energy ， 2022 ， 199 ： 628 - 639 .

Xiao J W ， Yang Y B ， Cui S C ， et al . A new energy storage sharing framework with regard to both storage capacity and power capacity ［J］. Applied Energy ， 2022 ， 307 ： 118171 .

Chen Y J ， Pei W ， Ma T F ， et al . Asymmetric Nash bargaining model for peer-to-peer energy transactions combined with shared energy storage ［J］. Energy ， 2023 ， 278 ： 127980 .

Li P ， Yu D W ， Yang M ， et al . Flexible look-ahead dispatch realized by robust optimization considering CVaR of wind power ［J］. IEEE Transactions on Power Systems ， 2018 ， 33 （ 5 ）： 5330 - 5340 .

Bareken A ， Kumar P ， Martin A . Efficient and privacy-preser-ving data aggregation and dynamic billing in smart grid mete-ring networks ［J］. Energies ， 2018 ， 11 （ 8 ）： 2085 .

Liu Y N ， Guo W ， Fan C I ， et al . A practical privacy-preser-ving data aggregation（3PDA） scheme for smart grid ［J］. IEEE Transactions on Industrial Informatics ， 2019 ， 15 （ 3 ）： 1767 - 1774 .

Leszczyna R . Cyber security and privacy in standards for smart grids：a comprehensive survey ［J］. Computer Standards & Interfaces ， 2018 ， 56 ： 62 - 73 .

Li Y H ， Wei M S ， Tian R . Performance analysis of an energy system with multiple combined cooling，heating and power systems considering hybrid shared energy storage ［J］. Applied Thermal Engineering ， 2023 ， 233 ： 121166 .

余光正，崔长付，陈甜甜，等 . 电-碳市场下可再生能源发电商参与多市场交易策略［J／OL］. 电力自动化设备， 2025-12-22 . https：∥doi.org／10.16081／j.epae.202512011 https://doi.org/10.16081/j.epae.202512011 .

郑弘奇，江岳文，邹舒瑾，等 . 考虑抑制海上风电超短期预测偏差引发电压越限的无功调整降损优化决策［J］. 电力自动化设备， 2025 ， 45 （ 5 ）： 84 - 92，109 .

Zheng Hongqi ， Jiang Yuewen ， Zou Shujin ， et al . Optimization decision of reactive power adjustment for loss reduction considering suppression of voltage over-limit caused by ultra-short-term forecast deviation of offshore wind power ［J］. Electric Power Automation Equipment ， 2025 ， 45 （ 5 ）： 84 - 92，109 .

Ji W J ， Guo S ， Sun H ， et al . Optimal dispatching of multi-community electric-thermal integrated energy systems conside-ring wind and solar uncertainties based on hydraulic stability and energy sharing ［J］. Energy Conversion and Management ， 2024 ， 308 ： 118335 .

Lei D Y ， Zhang Z H ， Wang Z J ， et al . Long-term，multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mecha-nism and CCS ［J］. Energy ， 2023 ， 280 ： 128113 .

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