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在园区用户差异化不断加深的背景下，为推动园区电、热、碳协调交互，本文提出了一种考虑用户差异化和奖惩阶梯型碳交易机制的园区综合能源系统（park integrated energy system,PIES）多主体博弈协同优化方法。首先，针对不同用户的差异化特征，考虑了包括用户用电特性以及柔性资源的拥有情况等差异性，建立了PIES内3种不同属性用户模型；引入奖惩阶梯型碳交易机制从而加入碳市场，激励PIES进行碳减排，同时建立含多种能源设备的PIES管理员（park integrated energy system administrator,PIA）模型统筹园区电-热-碳交易市场。其次，基于Stackelberg博弈理论，建立了以PIA为领导者，差异化用户为跟随者的交互机制，构建了含需求响应、多能互补的多主体主从博弈决策模型。最后，采用具有交互作用的分布式优化算法来达到Stackelberg博弈均衡。算例仿真证明了所提方法能够实现PIES多主体之间的双赢。
Abstract：In the context of increasing differentiation among park users,a multi-agent game-based collaborative optimization method for the park integrated energy system(PIES)is proposed to promote the coordinated interaction of electricity,heat,and carbon.First,considering the diverse characteristics of users,such as electricity consumption patterns and the availability of flexible resources,models for three distinct types of users within PIES were established.A tiered reward-penalty carbon trading mechanism was introduced to incorporate PIES into the carbon market,thereby incentivizing carbon reduction.Additionally,a PIES administrator(PIA) model,equipped with multiple energy devices,was developed to manage the electricity-heat-carbon trading market.Second,based on Stackelberg game theory,an interactive mechanism was constructed with the PIA as the leader and differentiated users as followers,forming a multi-agent leader-follower game decision model that integrates demand response and multi-energy complementarity. Finally,a distributed optimization algorithm with interaction mechanisms was employed to achieve Stackelberg game equilibrium. Simulation results demonstrate that the proposed method effectively achieves a win-win outcome for multiple PIES stakeholders.
[1]葛磊蛟，李京京，李昌禄，等.面向零碳园区的综合能源系统优化运行技术综述[J].电网技术，2024,48(5):1821-1835.GE Leijiao,LI Jingjing,LI Changlu,et al. Overview of integrated energy system optimal operation technology for zero-carbon parks[J].Power System Technology,2024,48(5):1821-1835.
[2]陈勇，芮俊，肖雷鸣，等.基于动态主从博弈模型的综合能源系统碳交易方法[J].浙江电力，2024,43(4):51-62.CHEN Yong,RUI Jun,XIAO Leiming,et al. A carbon trading method for integrated energy systems based on a dynamic masterslave game model[J]. Zhejiang Electric Power,2024,43(4):51-62.
[3]张姝，江洪辉，臧天磊，等.考虑热储扩展碳排放流的多园区综合能源系统低碳经济调度[J].电力系统保护与控制，2025,53(19):13-24.ZHANG Shu,JIANG Honghui,ZANG Tianlei,et al.Low-carbon economic dispatch of multi-park integrated energy systems considering augmented carbon emission flow of thermal storage[J].Power System Protection and Control,2025,53(19):13-24.
[4]赵佩尧，李正烁，高晗，等.电-气-热综合能源系统协同调度优化研究综述[J].山东电力技术，2024,51(4):1-11.ZHAO Peiyao,LI Zhengshuo,GAO Han,et al. Review on collaborative scheduling optimization of electricity-gas-heat integrated energy system[J]. Shandong Electric Power,2024,51(4):1-11.
[5]赵琛，叶金池，和萍，等.考虑源荷多重不确定性的园区综合能源系统优化策略[J].电力系统保护与控制，2025,53(4):148-164.ZHAO Chen,YE Jinchi,HE Ping,et al. A PIES optimization strategy considering multiple uncertainties in source and load[J].Power System Protection and Control,2025,53(4):148-164.
[6]王义，靳梓康，王要强，等.考虑电动汽车共享储能特性的园区综合能源系统低碳运行[J].电力系统自动化，2024,48(5):21-29.WANG Yi,JIN Zikang,WANG Yaoqiang,et al. Low-carbon operation of park-level integrated energy system considering shared energy storage features of electric vehicles[J].Automation of Electric Power Systems,2024,48(5):21-29.
[7]王怡，王小君，孙庆凯，等.基于能量共享的综合能源系统群多主体实时协同优化策略[J].电力系统自动化，2022,46(4):56-65.WANG Yi,WANG Xiaojun,SUN Qingkai,et al.Multi-agent realtime collaborative optimization strategy for integrated energy system group based on energy sharing[J]. Automation of Electric Power Systems,2022,46(4):56-65.
[8]郭斯琦，楼劲，郑凌蔚.考虑热网特性的综合能源系统混合时间尺度调度方法[J].电力建设，2024,45(12):16-26.GUO Siqi, LOU Jin, ZHENG Lingwei. Hybrid time scale scheduling method for integrated energy systems considering the characteristics of heating networks[J]. Electric Power Construction,2024,45(12):16-26.
[9]高红均，张凡，刘俊勇，等.考虑多产消者差异化特征的社区微网系统P2P交易机制设计[J].中国电机工程学报，2022,42(4):1455-1469.GAO Hongjun,ZHANG Fan,LIU Junyong,et al. Design of P2P transaction mechanism considering differentiation characteristics of multiple prosumers in community microgrid system[J].Proceedings of the CSEE,2022,42(4):1455-1469.
[10]李佳欣，王智伟.基于模型预测控制的风光储综合能源系统优化调度[J].分布式能源，2024,9(1):43-53.LI Jiaxin,WANG Zhiwei. Optimal dispatching of wind-solarstorage integrated energy system based on model predictive control[J].Distributed Energy,2024,9(1):43-53.
[11]LAI G M,SYCARA K.A generic framework for automated multiattribute negotiation[J].Group Decision and Negotiation,2009,18(2):169-187.
[12]HEISKANEN E,JOHNSON M,ROBINSON S,et al. Low-carbon communities as a context for individual behavioural change[J].Energy Policy,2010,38(12):7586-7595.
[13]WOO C K,SREEDHARAN P,HARGREAVES J,et al.A review of electricity product differentiation[J].Applied Energy,2014,114:262-272.
[14]雷杨，雷泽雨，杭俊，等.考虑生物质交易的乡村能源系统多主体协同规划[J].电力系统保护与控制，2025,53(12):13-23.LEI Yang,LEI Zeyu,HANG Jun,et al.Multi-agent collaborative planning of rural energy system considering biomass trading[J].Power System Protection and Control,2025,53(12):13-23.
[15]CHEN S J,LIU C C.From demand response to transactive energy:state of the art[J]. Journal of Modern Power Systems and Clean Energy,2017,5(1):10-19.
[16]张晓英，陈宝奇，马志程，等.基于主从博弈理论的热电联供型太阳能热发电站冬季优化运行研究[J].太阳能学报，2023,44(11):155-165.ZHANG Xiaoying,CHEN Baoqi,MA Zhicheng,et al. Study on optimal operation of solar thermal power plant based on leaderfollower game theory in winter[J]. Acta Energiae Solaris Sinica,2023,44(11):155-165.
[17]WANG Y D,HU J J,LIU N. Energy management in integrated energy system using energy-carbon integrated pricing method[J].IEEE Transactions on Sustainable Energy,2023,14(4):1992-2005.
[18]刘晓峰，高丙团，李扬.博弈论在电力需求侧的应用研究综述[J].电网技术，2018,42(8):2704-2711.LIU Xiaofeng,GAO Bingtuan,LI Yang. Review on application of game theory in power demand side[J].Power System Technology,2018,42(8):2704-2711.
[19]TAVAKKOLI M,FATTAHEIAN-DEHKORDI S,POURAKBARIKASMAEI M,et al. Bonus-based demand response using Stackelberg game approach for residential end-users equipped with HVAC system[J].IEEE Transactions on Sustainable Energy,2021,12(1):234-249.
[20]ZHAO Y Y,WEI Y F,TANG Y F,et al. Multi-objective robust dynamic pricing and operation strategy optimization for integrated energy system based on Stackelberg game[J].International Journal of Hydrogen Energy,2024,83:826-841.
[21]马苗苗，王浩，董利鹏，等.基于主从博弈的微电网分布式能量管理策略[J].系统仿真学报，2024,36(4):834-843.MA Miaomiao,WANG Hao,DONG Lipeng,et al. Distributed energy management strategy of microgrid based on master-slave game[J].Journal of System Simulation,2024,36(4):834-843.
[22]庞超，霍现旭，王智爽，等.考虑用户行为耦合的园区综合能源系统聚合灵活性建模与定价博弈[J/OL].电力系统及其自动化学报，2025:1-11[2025-07-08].https：⫽doi.org/10.19635/j.cnki.csu-epsa.001634.PANG Chao,HUO Xianxu,WANG Zhishuang,et al. Aggregation flexibility modeling and pricing game of park comprehensive energy system considering user behavior coupling[J/OL].Electric Power Automation Equipment,2025:1-11[2025-07-08].https：⫽doi.org/10.19635/j.cnki.csu-epsa.001634.
[23]王海洋，李珂，张承慧，等.基于主从博弈的社区综合能源系统分布式协同优化运行策略[J].中国电机工程学报，2020,40(17):5435-5444.WANG Haiyang,LI Ke,ZHANG Chenghui,et al. Distributed coordinative optimal operation of community integrated energy system based on Stackelberg game[J].Proceedings of the CSEE,2020,40(17):5435-5444.
[24]熊军华，李润南，李灵秀，等.考虑动态碳配额的灵活碳捕集电厂-广义储能系统低碳经济调度[J].太阳能学报，2025,46(5):696-705.XIONG Junhua,LI Runnan,LI Lingxiu,et al. Low-carbon economic scheduling of flexible carbon capture power plants and generalized energy storage systems considering dynamic carbon quotas[J].Acta Energiae Solaris Sinica,2025,46(5):696-705.
[25]袁世琦，潘鹏程，魏业文，等.园区综合能源系统低碳经济优化调度模型研究[J].太阳能学报，2024,45(3):347-356.YUAN Shiqi,PAN Pengcheng,WEI Yewen,et al.Study on lowcarbon economic optimal scheduling model of community integrated energy system[J].Acta Energiae Solaris Sinica,2024,45(3):347-356.
[26]邢家维，赵帅，杨颂，等.计及阶梯碳交易机制的热电氢联供型综合能源系统多目标优化调度[J].山东电力技术，2025,52(3):21-31.XING Jiawei,ZHAO Shuai,YANG Song,et al. Multi-objective optimal scheduling of combined heat,power,and hydrogen integrated energy system considering the stepped carbon trading mechanism[J].Shandong Electric Power,2025,52(3):21-31.
[27]崔杨，曾鹏，仲悟之，等.考虑阶梯式碳交易的电-气-热综合能源系统低碳经济调度[J].电力自动化设备，2021,41(3):10-17.CUI Yang,ZENG Peng,ZHONG Wuzhi,et al. Low-carbon economic dispatch of electricity-gas-heat integrated energy system based on ladder-type carbon trading[J]. Electric Power Automation Equipment,2021,41(3):10-17.
[28]邓旭，冯劼然，南君培，等.考虑双端碳交易的含CCUS新能源电力系统主从博弈低碳经济调度[J/OL].电力自动化设备，2025:1-18[2025-07-08].https：⫽kns.cnki.net/kcms/detail/32.1318.TM.20250707.1441.003.html.DENG Xu,FENG Jieran,NAN Junpei,et al.Low-carbon economic dispatch of master-slave game in power system with CCUS new energy considering two-terminal carbon trading[J/OL]. Electric Power Automation Equipment,2025:1-18.[2025-07-08].https：⫽kns.cnki.net/kcms/detail/32.1318.TM.20250707.1441.003.html.
[29]陈锦鹏，胡志坚，陈嘉滨，等.考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J].高电压技术，2021,47(9):3094-3106.CHEN Jinpeng,HU Zhijian,CHEN Jiabin,et al.Optimal dispatch of integrated energy system considering ladder-type carbon trading and flexible double response of supply and demand[J]. High Voltage Engineering,2021,47(9):3094-3106.
[30]帅轩越，马志程，王秀丽，等.基于主从博弈理论的共享储能与综合能源微网优化运行研究[J].电网技术，2023,47(2):679-690.SHUAI Xuanyue,MA Zhicheng,WANG Xiuli,et al. Optimal operation of shared energy storage and integrated energy microgrid based on leader-follower game theory[J]. Power System Technology,2023,47(2):679-690.
[31]晋旭东，孙磊，丁明，等.考虑用户响应不确定性的园区综合能源系统分布鲁棒低碳调度[J].电力系统自动化，2023,47(16):10-21.JIN Xudong,SUN Lei,DING Ming,et al. Distributionally robust low-carbon dispatch of park-level integrated energy system considering uncertainty of customer response[J]. Automation of Electric Power Systems,2023,47(16):10-21.
[32]李军，李鑫.考虑碳交易的社区综合能源主从博弈运行优化策略[J].电力需求侧管理，2023,25(6):28-34.LI Jun,LI Xin.Operation optimal strategy of community integrated energy Stackelberg game considering carbon trading[J]. Power Demand Side Management,2023,25(6):28-34.
[33]WANG J,JIN X L,JIA H J,et al. Joint electricity and carbon sharing with PV and energy storage:a low-carbon DR-based game theoretic approach[J].IEEE Transactions on Sustainable Energy,2024,15(4):2703-2717.
[34]范宏，王镇高宇.考虑综合需求响应及主从博弈的RIES优化调度[J].上海电力大学学报，2025,41(6):512-520.FAN Hong,WANG Zhenggaoyu. RIES optimization scheduling considering comprehensive demand response and stackelberg game[J].Journal of Shanghai University of Electric Power,2025,41(6):512-520.
基本信息:
DOI：10.20097/j.cnki.issn1007-9904.250564
中图分类号:TK01;TM73
引用信息:
[1]娄伟,张征凯,赵学理,等.考虑用户差异化的园区综合能源系统多主体博弈方法[J].山东电力技术,2026,53(04):26-40.DOI:10.20097/j.cnki.issn1007-9904.250564.
基金信息:
国网安徽省电力有限公司科技项目（52120524000R）~~
2025-07-08
2025
2026-01-06
2026
2026-04-14
1
2026-04-25
2026-04-25