考虑低碳及主从博弈的多虚拟电厂协同优化调度

李德毅; 徐春梅; 刘华; 刘红升; 彭道刚

doi:10.19805/j.cnki.jcspe.2026.250005

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考虑低碳及主从博弈的多虚拟电厂协同优化调度

综合能源系统 | 更新时间：2026-10-10

- 考虑低碳及主从博弈的多虚拟电厂协同优化调度
- Collaborative Optimal Dispatch of Multi-virtual Power Plants Considering Low-carbon Goals and Master-Slave Game
- 动力工程学报 2026年46卷第4期页码：208-220
- 作者机构：
  
  1. 上海电力大学自动化工程学院,上海,200090
  2. 中电电力检修工程有限公司,上海,200086
- 作者简介：
  
  李德毅(1998—),男,四川简阳人,硕士研究生,研究方向为虚拟电厂优化调度,E-mail:470900867@qq.com。
- 基金信息：
  
  国家自然科学基金面上资助项目(62373241);上海市产业协同创新协调资助项目(CXXT-2022-01)
- DOI：10.19805/j.cnki.jcspe.2026.250005
  中图分类号： TM73
- 纸质出版：2026
- 稿件说明：
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李德毅, 徐春梅, 刘华, 刘红升, 彭道刚. 考虑低碳及主从博弈的多虚拟电厂协同优化调度[J]. 动力工程学报, 2026, 46(4): 208-220.
李德毅, 徐春梅, 刘华, 刘红升, 彭道刚. 考虑低碳及主从博弈的多虚拟电厂协同优化调度[J]. 动力工程学报, 2026, 46(4): 208-220. DOI： 10.19805/j.cnki.jcspe.2026.250005.

DOI： 10.19805/j.cnki.jcspe.2026.250005

摘要

为提高能源利用率

并提高虚拟电厂利益

降低碳排放量

提出了一种考虑低碳与主从博弈的多虚拟电厂协同优化调度方法。首先构建多虚拟电厂电热协同博弈优化架构。引入运营商(DSO)为领导者

根据虚拟电厂(VPP)调度策略制定能源交易价格

将虚拟电厂作为跟随者

根据交易价格制定能源调度及购售电策略

两者相互博弈。然后引入阶梯碳交易和双重补偿需求响应

进一步探索主从博弈的低碳潜力。最后建立DSO及VPP的优化调度数学模型

并采用粒子群算法(PSO)结合混合整数非线性优化(MINLP)求解。设置4种场景进行对比分析。结果表明:该博弈模型能够促进多虚拟电厂实现多能协同互补

同时保证各虚拟电厂利益最大;由于虚拟电厂之间能源互动增多

该模型结合了阶梯式碳交易

能够有效降低碳排放量

而双重补偿需求响应会引导负荷削减

提升低碳效率。

Abstract

To improve energy efficiency

increase the interests of virtual power plants (VPPs)

and reduce carbon emissions

a collaborative optimal dispatch method for multi-VPPs considering low-carbon goals and a master-slave game was proposed. First

the power-heat collaborative game optimization framework for multi-VPPs was constructed. The distribution system operator (DSO) was introduced as the leader

which formulated energy trading prices according to the dispatch strategies of VPPs. VPPs were regarded as followers

which developed energy dispatch and electricity purchase-sales strategies based on the trading prices

thus forming a mutual game relationship between the two parties. Then

a stepped carbon trading mechanism and a dual-compensation demand response were incorporated to further explore the low-carbon potential of the master-slave game. Finally

the optimal dispatch mathematical models for DSO and VPPs were developed

and the particle swarm optimization (PSO) algorithm combined with mixed-integer nonlinear programming (MINLP) was adopted for solution. Four scenarios were set up for comparative analysis. Results show that the proposed game model can promote multi-energy collaborative complementarity among multi-VPPs while maximizing the interests of each VPP. Owing to the increased energy interaction between VPPs and the integration of the stepped carbon trading mechanism

the model can effectively reduce carbon emissions. Meanwhile

the dual-compensation demand response can guide load curtailment and improve low-carbon efficiency.

关键词

Keywords

references

黄震, 谢晓敏, 张庭婷. "双碳"背景下我国中长期能源需求预测与转型路径研究[J]. 中国工程科学, 2022, 24(6): 8-18.HUANG Zhen, XIE Xiaomin, ZHANG Tingting. Medium-and long-term energy demand of China and energy transition pathway toward carbon neutrality[J]. Strategic Study of CAE, 2022, 24(6): 8-18.

高赐威. 虚拟电厂的概念思辨[J]. 供用电, 2023, 40(12): 2-6.GAO Ciwei. Conceptual reflection on virtual power plants[J]. Distribution & Utilization, 2023, 40(12): 2-6.

侯昊宇, 葛晓琳, 曹旭丹. 考虑碳交易的多虚拟电厂联盟博弈优化方法[J]. 电力系统及其自动化学报, 2023, 35(3): 77-85.HOU Haoyu, GE Xiaolin, CAO Xudan. Coalition game optimization method for multiple virtual power plants considering carbon trading[J]. Proceedings of the CSU-EPSA, 2023, 35(3): 77-85.

WANG Yao, AI Xin, TAN Zhonfu, et al. Interactive dispatch modes and bidding strategy of multiple virtual power plants based on demand response and game theory[J]. IEEE Transactions on Smart Grid, 2016, 7(1): 510-519.

周步祥, 张越, 臧天磊, 等. 基于区块链的多虚拟电厂主从博弈优化运行[J]. 电力系统自动化, 2022, 46(1): 155-163.ZHOU Buxiang, ZHANG Yue, ZANG Tianlei, et al. Blockchain-based Stackelberg game optimal operation of multiple virtual power plants[J]. Automation of Electric Power Systems, 2022, 46(1): 155-163.

葛晓琳, 曹旭丹, 李佾玲. 多虚拟电厂日前随机博弈与实时变时间尺度优化方法[J]. 电力自动化设备, 2023, 43(11): 150-157.GE Xiaolin, CAO Xudan, LI Yiling. Day-ahead stochastic game and real-time adaptive time scale optimization method for multiple virtual power plants[J]. Electric Power Automation Equipment, 2023, 43(11): 150-157.

董雷, 涂淑琴, 李烨, 等. 基于元模型优化算法的主从博弈多虚拟电厂动态定价和能量管理[J]. 电网技术, 2020, 44(3): 973-981.DONG Lei, TU Shuqin, LI Ye, et al. A Stackelberg game model for dynamic pricing and energy management of multiple virtual power plants using metamodel-based optimization method[J]. Power System Technology, 2020, 44(3): 973-981.

周建国, 吴昭波. 双碳目标下基于Stackelberg和合作博弈的虚拟电厂双层优化调度[J]. 动力工程学报, 2024, 44(10): 1611-1619.ZHOU Jianguo, WU Zhaobo. A two-level optimiza-tion scheduling of a virtual power plant based on Stackelberg and cooperative game theory under the dual carbon goals[J]. Journal of Chinese Society of Power Engineering, 2024, 44(10): 1611-1619.

沈思辰, 韩海腾, 周亦洲, 等. 基于条件风险价值的多虚拟电厂电-碳-备用P2P交易模型[J]. 电力系统自动化, 2022, 46(18): 147-157.SHEN Sichen, HAN Haiteng, ZHOU Yizhou, et al. Electricity-carbon-reserve peer-to-peer trading model for multiple virtual power plants based on conditional value-at-risk[J]. Automation of Electric Power Systems, 2022, 46(18): 147-157.

梅光银, 龚锦霞, 郑元黎. 考虑风光出力相关性和碳排放限额的多能互补虚拟电厂的调度策略[J]. 电力系统及其自动化学报, 2021, 33(8): 62-69.MEI Guangyin, GONG Jinxia, ZHENG Yuanli. Scheduling strategy for multi-energy complementary virtual power plant considering the correlation between wind and solar output and carbon emission quota[J]. Proceedings of the CSU-EPSA, 2021, 33(8): 62-69.

陈志, 胡志坚, 翁菖宏, 等. 基于阶梯碳交易机制的园区综合能源系统多阶段规划[J]. 电力自动化设备, 2021, 41(9): 148-155.CHEN Zhi, HU Zhijian, WENG Changhong, et al. Multi-stage planning of park-level integrated energy system based on ladder-type carbon trading mechanism[J]. Electric Power Automation Equipment, 2021, 41(9): 148-155.

周任军, 孙洪, 唐夏菲, 等. 双碳量约束下风电-碳捕集虚拟电厂低碳经济调度[J]. 中国电机工程学报, 2018, 38(6): 1675-1683.ZHOU Renjun, SUN Hong, TANG Xiafei, et al. Low-carbon economic dispatch based on virtual power plant made up of carbon capture unit and wind power under double carbon constraint[J]. Proceedings of the CSEE, 2018, 38(6): 1675-1683.

ZHANG Liang, LIU Dongyuan, CAI Guowei, et al. An optimal dispatch model for virtual power plant that incorporates carbon trading and green certificate trading[J]. International Journal of Electrical Power &[KG)][KG-*5/9]Energy Systems, 2023, 144: 108558.

叶宇静, 邢海军, 米阳, 等. 考虑低碳需求响应及主从博弈的综合能源系统低碳优化调度[J]. 电力系统自动化, 2024, 48(9): 34-43.YE Yujing, XING Haijun, MI Yang, et al. Low-carbon optimal dispatching of integrated energy system considering low-carbon demand response and Stackelberg game[J]. Automation of Electric Power Systems, 2024, 48(9): 34-43.

刘铠诚, 王关涛, 白星振, 等. 基于主从博弈的园区级综合能源系统动态定价与低碳经济调度[J]. 高电压技术, 2024, 50(4): 1436-1445.LIU Kaicheng, WANG Guantao, BAI Xingzhen, et al. Dynamic pricing and low-carbon economic dispatch of integrated energy system based on Stackelberg game[J]. High Voltage Engineering, 2024, 50(4): 1436-1445.

张虹, 张瑞芳, 周建丞, 等. 基于主从博弈和混合碳政策的园区综合能源系统低碳经济调度[J]. 太阳能学报, 2023, 44(9): 9-17.ZHANG Hong, ZHANG Ruifang, ZHOU Jiancheng, et al. Low-carbon economic dispatch of integrated energy system in campus based on Stackelberg game and hybrid carbon policy[J]. Acta Energiae Solaris Sinica, 2023, 44(9): 9-17.

陈彦奇, 刘康祥, 赵鑫, 等. 基于阶梯型碳交易机制的综合能源系统低碳经济调度[J]. 动力工程学报, 2023, 43(7): 901-909.CHENG Yanqi, LIU Kangxiang, ZHAO Xin, et al. Low-carbon economic dispatch of integrated energy system based on ladder-type carbon trading mechanism[J]. Journal of Chinese Society of Power Engineering, 2023, 43(7): 901-909.

吴艳娟, 张亦炫, 王云亮. 计及多重需求响应的综合能源系统多时间尺度低碳运行[J]. 电力工程技术, 2024, 43(2): 21-32.WU Yanjuan, ZHANG Yixuan, WANG Yunliang. Multi-time scale low carbon operation integrated energy system considering multiple integrated demand responses[J]. Electric Power Engineering Technology, 2024, 43(2): 21-32.

王瑞, 程杉, 汪业乔, 等. 基于多主体主从博弈的区域综合能源系统低碳经济优化调度[J]. 电力系统保护与控制, 2022, 50(5): 12-21.WANG Rui, CHENG Shan, WANG Yeqiao, et al. Low-carbon and economic optimization of a regional integrated energy system based on a master-slave game with multiple stakeholders[J]. Power System Protection and Control, 2022, 50(5): 12-21.

杨力帆, 周鲲, 齐增清, 等. 基于需求响应的虚拟电厂多时间尺度优化调度[J]. 电网与清洁能源, 2024, 40(3): 10-21.YANG Lifan, ZHOU Kun, QI Zengqing, et al. A multi-time scale optimal scheduling strategy of virtual power plants based on demand response[J]. Power System and Clean Energy, 2024, 40(3): 10-21.

黄蔚亮, 苏志鹏, 梁欣怡, 等. 考虑可调市场和外部需求响应的虚拟电厂优化运行策略[J]. 中国电力, 2023, 56(12): 156-163.HUANG Weiliang, SU Zhipeng, LIANG Xinyi, et al. Optimal operation strategy for virtual power plant considering regulation market and external demand response[J]. Electric Power, 2023, 56(12): 156-163.

成雨阳, 高红均, 王仁浚, 等. 虚拟电厂两阶段准线型需求响应优化及收益共享-风险共担决策方法[J]. 电网技术, 2024, 48(2): 799-809.CHENG Yuyang, GAO Hongjun, WANG Renjun, et al. Optimal strategy for two stage customer directrix load based demand response and profit sharing-risk sharing decision-making method for virtual power plant[J]. Power System Technology, 2024, 48(2): 799-809.

吴利兰, 荆朝霞, 吴青华, 等. 基于Stackelberg博弈模型的综合能源系统均衡交互策略[J]. 电力系统自动化, 2018, 42(4): 142-150, 207.WU LILAN, JING Zhaoxia, WU Qinghua, et al. Equilibrium strategies for integrated energy systems based on Stackelberg game model[J]. Automation of Electric Power Systems, 2018, 42(4): 142-150, 207.

王泽森, 石岩, 唐艳梅, 等. 考虑LCA能源链与碳交易机制的综合能源系统低碳经济运行及能效分析[J]. 中国电机工程学报, 2019, 39(6): 1614-1626.WANG Zesen, SHI Yan, TANG Yanmei, et al. Low carbon economy operation and energy efficiency analysis of integrated energy systems considering LCA energy chain and carbon trading mechanism[J]. Proceedings of the CSEE, 2019, 39(6): 1614-1626.

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.

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