Low-carbon Operation Optimization Method for Distributed Smart Grid Based on Electricity-Hydrogen-Heat Peer-to-peer Trading

WANG Jie; JIA Hongjie; JIN Xiaolong; MU Yunfei; LI Jingru; HU Shiyao

doi:10.7500/AEPS20240723012

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Low-carbon Operation Optimization Method for Distributed Smart Grid Based on Electricity-Hydrogen-Heat Peer-to-peer Trading

Power Energy Transition for Carbon Emission Peak and Carbon Neutrality | 更新时间：2025-06-16

- Low-carbon Operation Optimization Method for Distributed Smart Grid Based on Electricity-Hydrogen-Heat Peer-to-peer Trading
- Automation of Electric Power Systems Vol. 49, Issue 9, Pages: 40-51(2025)
- 作者机构：
  
  1.智能电网教育部重点实验室（天津大学），天津市 300072
  2.国网经济技术研究院有限公司，北京市 102209
  3.国网河北省电力有限公司经济技术研究院，河北省石家庄市 050000
- 作者简介：
- 基金信息：
  
  This work is supported partly by State Grid Corporation of China(5108-202218280A-2-373-XG)
- DOI：10.7500/AEPS20240723012
  CLC：
- Received：23 July 2024，
  
  Revised：2024-08-25，
  
  Published Online：01 November 2024，
  
  Published：10 May 2025
- 稿件说明：
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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.
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. DOI： 10.7500/AEPS20240723012.

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. DOI： 10.7500/AEPS20240723012.

摘要

为促进可再生能源消纳并挖掘系统碳减排潜力，文中针对多微网综合能源系统(IES)的分布式智能电网（DSG）展开研究，提出基于电-氢-热端对端（P2P）交易的分布式智能电网低碳优化运行方法。首先，建立电制氢(P2H)、燃气掺氢热电联产机组等多种氢能利用模式，提出考虑氢能多元利用的多微网IES电-氢-热P2P交易框架及定价模型。其次，考虑单一微网的电-氢-热多元耦合约束及不同微网间电-氢-热多能互济，兼顾经济性及环保性，提出基于电-氢-热P2P交易的混氢天然气分布式智能电网低碳优化模型。然后，提出基于次梯度法的分布式优化算法求解该P2P问题，从而保护各微网的隐私。所提方法设计了动态电、氢、热P2P价格，将传统的电力共享模式拓展为DSG电-氢-热多元协同共享模式。最后，算例结果表明，所提模型能有效促进电能、氢能及热能协同共享，并降低多微网IES总运行成本及总碳排放量，从而实现能源的高效利用和分布式智能电网的低碳经济运行。

Abstract

To promote the accommodation of renewable energy and explore the carbon emission reduction potential

this paper focuses on the distributed smart grid (DSG) for integrated energy systems (IESs) with multiple microgrids (MGs). A low-carbon operation optimization method is proposed for a DSG based on electricity-hydrogen-heat peer-to-peer (P2P) trading. Firstly

multiple hydrogen energy utilization modes are established

including power-to-hydrogen (P2H)

and combined heat and power (CHP) units with hydrogen compressed natural gas (HCNG). In addition

an electricity-hydrogen-heat P2P trading framework and a pricing model for an IES with multiple MGs are proposed with consideration of the multi-utilization of hydrogen energy. Secondly

considering the electricity-hydrogen-heat multi-energy coupling constraints within an individual MG and the interactions of electricity

hydrogen

and heat among different MGs

an electricity-hydrogen-heat P2P trading model with consideration of low-carbon optimization for an HCNG-based DSG is proposed for balancing economy and environmental friendliness. Furthermore

a distributed optimization algorithm based on the subgradient method is proposed to solve this P2P problem

thereby protecting the privacy of each MG. The dynamic P2P prices for electricity

hydrogen

and heat are designed based on the proposed algorithm

which expands the traditional power-sharing mode into an electricity-hydrogen-heat multi-energy coordinated sharing mode in DSG. Finally

the case results show that the proposed model can effectively promote the coordinated sharing of electricity

hydrogen and heat energy

and reduce the total operational costs and carbon emissions of the IES with multiple MGs

thus achieving efficient energy utilization and low-carbon economic operation of DSG.

关键词

Keywords

references

张沈习，王丹阳，程浩忠，等 . 双碳目标下低碳综合能源系统规划关键技术及挑战［J］. 电力系统自动化， 2022 ， 46 （ 8 ）： 189 - 207 .

ZHANG Shenxi ， WANG Danyang ， CHENG Haozhong ， et al . Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 8 ）： 189 - 207 .

路帅超，孙英云，赵鹏飞，等 . 新型电力系统多阶段输-储协同分布鲁棒规划［J］. 电力系统自动化， 2024 ， 48 （ 15 ）： 15 - 24 .

LU Shuaichao ， SUN Yingyun ， ZHAO Pengfei ， et al . Multi-stage transmission-storage cooperative distributionally robust planning for new power system ［J］. Automation of Electric Power Systems ， 2024 ， 48 （ 15 ）： 15 - 24 .

赵紫原 . 分布式智能电网护航能源安全——专访中国工程院院士、天津大学教授余贻鑫［J］. 中国电力企业管理， 2022 （ 25 ）： 10 - 13 .

ZHAO Ziyuan . Distributed smart grid escorts energy security—interview with YU Yixin， academician of China Academy of Engineering and professor of Tianjin University ［J］. China Power Enterprise Management ， 2022 （ 25 ）： 10 - 13 .

黎海涛，刘伊然，杨艳红，等 . 基于改进联邦竞争深度Q网络的多微网能量管理策略［J］. 电力系统自动化， 2024 ， 48 （ 8 ）： 174 - 184 .

LI Haitao ， LIU Yiran ， YANG Yanhong ， et al . Energy management strategy for multi-microgrid based on improved federated dueling deep Q network ［J］. Automation of Electric Power Systems ， 2024 ， 48 （ 8 ）： 174 - 184 .

易宇琴，许加柱，张伟明，等 . 考虑两阶段鲁棒优化配置的多微网合作博弈［J］. 电力系统自动化， 2023 ， 47 （ 22 ）： 149 - 156 .

YI Yuqin ， XU Jiazhu ， ZHANG Weiming ， et al . Multi-microgrid cooperative game considering two-stage robust optimal configuration ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 22 ）： 149 - 156 .

安嬴东，刘一欣，赵波，等 . 风险感知的氢电耦合微网优化调度方法［J/OL］. 电网技术［ 2024-07-23 ］. https：//doi.org/10.13335/j.1000-3673.pst.2024.0027 https://doi.org/10.13335/j.1000-3673.pst.2024.0027 .

AN Yingdong ， LIU Yixin ， ZHAO Bo ， et al . Risk-aware optimization dispatching method for the hydrogen electricity coupling microgrid ［J/OL］. Power System Technology ［ 2024-07-23 ］. https：//doi.org/10.13335/j.1000-3673.pst.2024.0027 https://doi.org/10.13335/j.1000-3673.pst.2024.0027 .

张智泉，陈晓杰，符杨，等 . 含海上风电制氢的综合能源系统分布鲁棒低碳优化运行［J/OL］. 电网技术［ 2024-07-23 ］. http：//kns.cnki.net/kcms/detail/11.2410.TM.20240203.2029.011.html http://kns.cnki.net/kcms/detail/11.2410.TM.20240203.2029.011.html .

ZHANG Zhiquan ， CHEN Xiaojie ， FU Yang ， et al . Distributionally robust low-carbon optimal operation for integrated energy system including hydrogen production from offshore wind power ［J/OL］. Power System Technology ［ 2024-07-23 ］. http：//kns.cnki.net/kcms/detail/11.2410.TM.2024020 3.2029.011.html http://kns.cnki.net/kcms/detail/11.2410.TM.20240203.2029.011.html .

葛淑娜，张彩玲，王爽，等 . 计及氢能多元利用和绿证-碳联合交易的综合能源系统优化运行［J］. 电力自动化设备， 2023 ， 43 （ 12 ）： 231 - 237 .

GE Shuna ， ZHANG Cailing ， WANG Shuang ， et al . Optimal operation of integrated energy system considering multi-utilization of hydrogen energy and green certification-carbon joint trading ［J］. Electric Power Automation Equipment ， 2023 ， 43 （ 12 ）： 231 - 237 .

Group of HyDeploy Project . A little change： tonnes of difference ［EB/OL］. ［ 2024-07-23 ］. https：//hydeploy.co.uk/app/uploads/2018/02/HYDEPLOY_NE_PROJECT_WEB.pdf https://hydeploy.co.uk/app/uploads/2018/02/HYDEPLOY_NE_PROJECT_WEB.pdf .

刘妍，胡志坚，陈锦鹏，等 . 含碳捕集电厂与氢能多元利用的综合能源系统低碳经济调度［J］. 电力系统自动化， 2024 ， 48 （ 1 ）： 31 - 40 .

LIU Yan ， HU Zhijian ， CHEN Jinpeng ， et al . Low-carbon economic dispatch of integrated energy system considering carbon capture power plant and multi-utilization of hydrogen energy ［J］. Automation of Electric Power Systems ， 2024 ， 48 （ 1 ）： 31 - 40 .

谢敏，卢燕旋，叶佳南，等 . 电-氢-混氢天然气耦合的城市综合能源系统低碳优化调度［J］. 电力自动化设备， 2023 ， 43 （ 12 ）： 109 - 117 .

XIE Min ， LU Yanxuan ， YE Jianan ， et al . Low-carbon optimal scheduling of electricity-hydrogen-HCNG coupled urban integrated energy system ［J］. Electric Power Automation Equipment ， 2023 ， 43 （ 12 ）： 109 - 117 .

熊阳阳，于艾清，王育飞，等 . 基于多场景多重不确定性的含混氢天然气的综合能源系统运行优化［J］. 储能科学与技术， 2024 ， 13 （ 6 ）： 1888 - 1899 .

XIONG Yangyang ， YU Aiqing ， WANG Yufei ， et al . Optimization of integrated energy system operation containing hydrogen-compressed natural gas based on multiple scenarios and uncertainties ［J］. Energy Storage Science and Technology ， 2024 ， 13 （ 6 ）： 1888 - 1899 .

岑增光，耿斌，高明海，等 . 考虑天然气混氢的园区综合能源系统电制氢优化配置［J］. 电力工程技术， 2024 ， 43 （ 2 ）： 55 - 64 .

CEN Zengguang ， GENG Bin ， GAO Minghai ， et al . Optimal configuration of P2H in the park integrated energy system considering natural gas mixed with hydrogen ［J］. Electric Power Engineering Technology ， 2024 ， 43 （ 2 ）： 55 - 64 .

杜佳男，韩肖清，李廷钧，等 . 考虑电价不确定性和博弈欺诈行为的多微网电能合作运行优化策略［J］. 电网技术， 2022 ， 46 （ 11 ）： 4217 - 4230 .

DU Jianan ， HAN Xiaoqing ， LI Tingjun ， et al . Optimization strategy of multi-microgrid electric energy cooperative operation considering electricity price uncertainty and game cheating behaviors ［J］. Power System Technology ， 2022 ， 46 （ 11 ）： 4217 - 4230 .

HUA W Q ， XIAO H ， PEI W ， et al . Transactive energy and flexibility provision in multi-microgrids using Stackelberg game ［J］. CSEE Journal of Power and Energy Systems ， 2023 ， 9 （ 2 ）： 505 - 515 .

潘郑楠，邓长虹，徐慧慧，等 . 考虑灵活性补偿的高比例风电与多元灵活性资源博弈优化调度［J］. 电工技术学报， 2023 ， 38 （增刊1 ）： 56 - 69 .

PAN Zhengnan ， DENG Changhong ， XU Huihui ， et al . Game optimization scheduling of high proportion wind power and multiple flexible resources considering flexibility compensation ［J］. Transactions of China Electrotechnical Society ， 2023 ， 38 （ S1 ）： 56 - 69 .

陈灿鸿，谢仕炜，张亚超，等 . 计及灵活性资源的分布式多微网配电系统定价策略［J］. 电力自动化设备， 2024 ， 44 （ 8 ）： 116 - 123 .

CHEN Canhong ， XIE Shiwei ， ZHANG Yachao ， et al . Pricing strategy of distributed multi-microgrid distribution system considering flexible resources ［J］. Electric Power Automation Equipment ， 2024 ， 44 （ 8 ）： 116 - 123 .

陈璨，樊小伟，张文浩，等 . 促进分布式光伏消纳的两阶段源网荷储互动优化运行策略［J］. 电网技术， 2022 ， 46 （ 10 ）： 3786 - 3799 .

CHEN Can ， FAN Xiaowei ， ZHANG Wenhao ， et al . Two-staged generation-grid-load-energy storage interactive optimization operation strategy for promotion of distributed photovoltaic consumption ［J］. Power System Technology ， 2022 ， 46 （ 10 ）： 3786 - 3799 .

张帅，裴玮，马腾飞，等 . 考虑马尔可夫决策的产消者P2P电能交易非合作博弈模型［J］. 电力系统自动化， 2023 ， 47 （ 13 ）： 18 - 27 .

ZHANG Shuai ， PEI Wei ， MA Tengfei ， et al . Non-cooperative game model of prosumer P2P electricity trading considering Markov decision ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 13 ）： 18 - 27 .

刘可真，董敏，杨春昊，等 . 基于纳什谈判的智能园区P2P电能交易优化运行［J］. 电力自动化设备， 2023 ， 43 （ 5 ）： 45 - 53 .

LIU Kezhen ， DONG Min ， YANG Chunhao ， et al . Optimal operation of P2P electric power trading in smart park based on Nash negotiation ［J］. Electric Power Automation Equipment ， 2023 ， 43 （ 5 ）： 45 - 53 .

沙昊晟 . 基于区块链技术的互联微电网P2P电能交易系统研究［D］. 秦皇岛：燕山大学， 2020 .

SHA Haosheng . Research on P2P power trading system of interconnected microgrid based on blockchain technology ［D］. Qinhuangdao ： Yanshan University ， 2020 .

邱玥，周苏洋，顾伟，等 .“ 碳达峰、碳中和”目标下混氢天然气技术应用前景分析［J］. 中国电机工程学报， 2022 ， 42 （ 4 ）： 1301 - 1321 .

QIU Yue ， ZHOU Suyang ， GU Wei ， et al . Application prospect analysis of hydrogen enriched compressed natural gas technologies under the target of carbon emission peak and carbon neutrality ［J］. Proceedings of the CSEE ， 2022 ， 42 （ 4 ）： 1301 - 1321 .

ZHANG Z N ， DU J ， FEDOROVICH K S ， et al . RETRACTED： optimization strategy for power sharing and low-carbon operation of multi-microgrid IES based on asymmetric Nash bargaining ［J］. Energy Strategy Reviews ， 2022 ， 44 ： 100981 .

MAHARJAN S ， ZHU Q Y ， ZHANG Y ， et al . Dependable demand response management in the smart grid： a Stackelberg game approach ［J］. IEEE Transactions on Smart Grid ， 2013 ， 4 （ 1 ）： 120 - 132 .

TASDIGHI M ， GHASEMI H ， RAHIMI-KIAN A . Residential microgrid scheduling based on smart meters data and temperature dependent thermal load modeling ［J］. IEEE Transactions on Smart Grid ， 2014 ， 5 （ 1 ）： 349 - 357 .

LIU N ， CHENG M ， YU X ， et al . Energy-sharing provider for PV prosumer clusters： a hybrid approach using stochastic programming and Stackelberg game ［J］. IEEE Transactions on Industrial Electronics ， 2018 ， 65 （ 8 ）： 6740 - 6750 .

高宇鹏，常馨月，薛屹洵，等 . 考虑风光不确定性和动态氢价的新能源加氢站区间优化调度［J/OL］. 电网技术［ 2024-07-23 ］. https：//doi.org/10.13335/j.1000-3673.pst.2024.0009 https://doi.org/10.13335/j.1000-3673.pst.2024.0009 .

GAO Yupeng ， CHANG Xinyue ， XUE Yixun ， et al . Interval optimization dispatch for hydrogen refueling station with renewable energy considering wind/PV uncertainty and dynamic hydrogen pricing ［J/OL］. Power System Technology ［ 2024-07-23 ］. https：//doi.org/10.13335/j.1000-3673.pst.2024.0009 https://doi.org/10.13335/j.1000-3673.pst.2024.0009 .

崔杨，曾鹏，王铮，等 . 计及电价型需求侧响应含碳捕集设备的电-气-热综合能源系统低碳经济调度［J］. 电网技术， 2021 ， 45 （ 2 ）： 447 - 461 .

CUI Yang ， ZENG Peng ， WANG Zheng ， et al . Low-carbon economic dispatch of electricity-gas-heat integrated energy system with carbon capture equipment considering price-based demand response ［J］. Power System Technology ， 2021 ， 45 （ 2 ）： 447 - 461 .

董海鹰，贠韫韵，马志程，等 . 计及多能转换及光热电站参与的综合能源系统低碳优化运行［J］. 电网技术， 2020 ， 44 （ 10 ）： 3689 - 3700 .

DONG Haiying ， YUN Yunyun ， MA Zhicheng ， et al . Low-carbon optimal operation of integrated energy system considering multi-energy conversion and concentrating solar power plant participation ［J］. Power System Technology ， 2020 ， 44 （ 10 ）： 3689 - 3700 .

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