考虑V2G与供需灵活性的综合能源系统低碳调度Low-carbon dispatch of an integrated energy system considering V2G and supply-demand flexibility
卞海红,鲍元哲,任权策,郭正阳,童宇轩,何整杰,高雨迪
BIAN Haihong,BAO Yuanzhe,REN Quance,GUO Zhengyang,TONG Yuxuan,HE Zhengjie,GAO Yudi
摘要(Abstract):
为实现综合能源系统的低碳经济运行并同时提升供需双侧的灵活性,提出一种协同电动汽车与供能设备的优化调度策略。建立电动汽车参与V2G(车网互动)的意愿模型,基于荷电区间制定电动汽车有序充放电策略;通过引入Kalina循环与可逆固体氧化物电池,构造热电灵活输出模型;以降低系统运行成本为目标,构建考虑电动汽车充放电、供能侧灵活性和阶梯碳交易的综合能源系统低碳经济调度模型。仿真结果表明,本策略相较于传统固定热电比模式可降低碳排放量和经济成本,同时提高了供需双侧灵活性,为后续整合多元灵活性资源奠定了基础。
To achieve low-carbon and economically efficient operation of integrated energy systems while enhancing supply-demand flexibility, a coordinated optimal dispatch strategy integrating electric vehicles(EVs) and energy supply resources is proposed. An EV participation willingness model for vehicle-to-grid(V2G) services is first established, based on which an orderly charging and discharging strategy is developed according to state-of-charge(SOC) intervals. A flexible thermoelectric output model is constructed by incorporating a Kalina cycle and a reversible solid oxide cell(rSOC). Subsequently, a low-carbon economic dispatch model for the integrated energy system is formulated with the objective of reducing total operating cost, while accounting for EV charging and discharging, supply-side flexibility, and tiered carbon trading. Simulation results demonstrate that, compared with the conventional fixed heat-to-power ratio operating mode, the proposed strategy effectively reduces both carbon emissions and operating costs while enhancing flexibility on both the supply and demand sides. The strategy also provides a foundation for the future integration and coordinated utilization of diverse flexibility resources.
关键词(KeyWords):
供需双侧灵活性;电动汽车;Kalina循环;低碳经济调度
supply-demand flexibility;electric vehicle;Kalina cycle;low-carbon economic dispatch
基金项目(Foundation): 浙江省科技计划(2025C01204(SD2));; 国网浙江省电力有限公司科技项目(5211NB240008)
作者(Author):
卞海红,鲍元哲,任权策,郭正阳,童宇轩,何整杰,高雨迪
BIAN Haihong,BAO Yuanzhe,REN Quance,GUO Zhengyang,TONG Yuxuan,HE Zhengjie,GAO Yudi
DOI: 10.19585/j.zjdl.202610007
参考文献(References):
- [1]陆思涛,高辉,陈璐,等.考虑低碳双重约束的商业园区综合能源系统双层规划[J].电气工程学报,2026,21(2):275-284.Lu Sitao,Gao Hui,Chen Lu,et al. Bi-level planning for business park integrated energy system considering lowcarbon dual constraints[J].Journal of Electrical Engineering,2026,21(2):275-284.
- [2]Lyu X,Liu T,Liu X,et al.Low-carbon robust economic dispatch of park-level integrated energy system considering price-based demand response and vehicle-to-grid[J].Social Science Electronic Publishing,2023.
- [3]宋晨辉,李顺宇,肖峻,等.综合能源系统耦合性研究综述:定性分析与量化应用[J].电力建设,2025,46(12):44-56.Song Chenhui,Li Shunyu,Xiao Jun,et al.Review of coupling characteristics in integrated energy system:qualitative analysis and quantitative applications[J]. Electric Power Construction,2025,46(12):44-56.
- [4]张文轩,苏珈,杜欣慧,等.计及需求响应的电-氢-气综合能源系统分布式鲁棒规划[J].电力建设,2025,46(7):108-122.Zhang Wenxuan,Su Jia,Du Xinhui,et al.Research on distributed robust planning of electric-hydrogen-gas integrated energy system considering demand response[J].Electric Power Construction,2025,46(7):108-122.
- [5]张金良,潘敏,庄颖.基于合作电碳交易的多园区综合能源系统两阶段优化调度方法[J].智慧电力,2025,53(8):29-36.Zhang Jinliang,Pan Min,Zhuang Ying.A two-stage optimal scheduling approach for multi-park integrated energy systems based on cooperative electricity and carbon trading[J].Smart Power,2025,53(8):29-36.
- [6]史昭娣,朱宁,李政,等.计及源-荷匹配的多区域多类型新能源系统优化规划方法[J].电力工程技术,2024,43(4):67-76.Shi Zhaodi,Zhu Ning,Li Zheng,et al.Optimization planning method of multi-region and multi-type renewable energy generation considering source-load matching[J].Electric Power Engineering Technology,2024,43(4):67-76.
- [7]汪龙,邱巍,许欣宇,等.低碳园区综合能源系统捕碳-储能优化配置[J].电力工程技术,2024,43(6):235-246.Wang Long,Qiu Wei,Xu Xinyu,et al.Optimal planning of the carbon capture-energy storage joint system for integrated energy system in a low-carbon park[J]. Electric Power Engineering Technology,2024,43(6):235-246.
- [8]曾珠梅,孙建梅.计及电-气-热需求响应的区域综合能源系统运行优化[J].电力工程技术,2024,43(5):48-57.Zeng Zhumei,Sun Jianmei. Operation optimization of regional integrated energy system with electricity-gasthermal demand response[J].Electric Power Engineering Technology,2024,43(5):48-57.
- [9]林舜江,冯祥勇,梁炜焜,等.新能源电力系统不确定优化调度方法研究现状及展望[J].电力系统自动化,2024,48(10):20-41.Lin Shunjiang,Feng Xiangyong,Liang Weikun,et al.Research status and prospect of uncertain optimal dispatch methods for renewable energy power systems[J].Automation of Electric Power Systems,2024,48(10):20-41.
- [10]Yin WanJun,Qin Xuan,Huang Zhizhong. Optimal dispatching of large-scale electric vehicles into grid based on improved second-order cone[J].Energy,2022,254:124346.
- [11]徐志轶,赵明,张雪燕,等.基于离散鲸鱼算法的电动汽车充电站布局方法[J].电力电子技术,2026,60(1):133-138.Xu Zhiyi,Zhao Ming,Zhang Xueyan,et al.Layout method of electric vehicle charging station based on discrete whale algorithm[J].Power Electronics,2026,60(1):133-138.
- [12]张光儒,张家午,范迪龙,等.电动汽车充放电对直流微电网稳定性影响分析[J].电力电子技术,2025,59(4):94-99.Zhang Guangru,Zhang Jiawu,Fan Dilong,et al.Analysis of the influence of electric vehicle charging and discharging on the stability of DC microgrid[J]. Power Electronics,2025,59(4):94-99.
- [13]周宇,韦宣,黄泓叶.基于LSTM-EM的电动汽车充电桩故障率预测[J].电力电子技术,2026,60(1):139-148.Zhou Yu,Wei Xuan,Huang Hongye.Prediction of the failure rate of electric vehicle charging piles based on LSTMEM[J].Power Electronics,2026,60(1):139-148.
- [14]Gan Lei,Chen Xingying,Yu Kun,et al. A probabilistic evaluation method of household EVs dispatching potential considering users’ multiple travel needs[J].IEEE Transactions on Industry Applications,2020,56(5):5858-5867.
- [15]Liu Z,Li C,Li S,et al.A tri-level optimization model for the integrated energy system with orderly charging/discharging of electric vehicles[J].Journal of Energy Storage,2024,101:113872.
- [16]张程,匡宇,陈文兴,等.计及电动汽车充电方式与多能耦合的综合能源系统低碳经济优化运行[J].上海交通大学学报,2024,58(5):669-681.Zhang Cheng,Kuang Yu,Chen Wenxing,et al.Low carbon economy optimization of integrated energy system considering electric vehicle charging mode and multienergy coupling[J].Journal of Shanghai Jiao Tong University,2024,58(5):669-681.
- [17]徐霄,张腾,仇子文,等.电动汽车虚拟储能参与下的源荷储日前协同降碳策略[J].电力自动化设备,2025,45(4):75-83.Xu Xiao,Zhang Teng,Qiu Ziwen,et al.Day-ahead sourceload-storage collaborative carbon reduction strategy considering EV-based virtual energy storages[J]. Electric Power Automation Equipment,2025,45(4):75-83.
- [18]杨冬锋,左圣宇,杨晶莹,等.考虑绿色氢能证书交易机制和新能源汽车碳配额的综合能源系统低碳经济调度[J].电网技术,2025,49(2):562-571.Yang Dongfeng,Zuo Shengyu,Yang Jingying,et al.Low carbon economy dispatch of integrated energy system considering green hydrogen certificate trading mechanism and carbon quota of new energy vehicles[J]. Power System Technology,2025,49(2):562-571.
- [19]陈铎文,孙凯,冯伟,等.考虑电动汽车充电行为特征的微电网两阶段优化调度策略[J].电工电能新技术,2025,44(8):61-74.Chen Duowen,Sun Kai,Feng Wei,et al.A two-stage optimal scheduling strategy for microgrid considering electric vehicle charging behavior characteristics[J]. Advanced Technology of Electrical Engineering and Energy,2025,44(8):61-74.
- [20]高润天,罗李子,韩少华,等.电力-交通混合约束下电动汽车充电行为时空引导方法[J].浙江电力,2025,44(8):24-33.Gao Runtian,Luo Lizi,Han Shaohua,et al.A spatiotemporal guidance method for EV charging behaviors under coupled power-transportation network constraints[J].Zhejiang Electric Power,2025,44(8):24-33.
- [21]孙亮,朱童生,党翠,等.考虑用户选择偏好行为的电动汽车充电站扩容与新建规划[J].电力自动化设备,2026,46(2):128-136.Sun Liang,Zhu Tongsheng,Dang Cui,et al.Capacity expansion and new construction planning of electric vehicle charging stations considering users’preference behaviors[J].Electric Power Automation Equipment,2026,46(2):128-136.
- [22]张琳娟,李文峰,许长清,等.计及充电排队与实时SOC的电动汽车充电负荷时空分布预测[J].电力建设,2025,46(8):54-66.Zhang Linjuan,Li Wenfeng,Xu Changqing,et al.Spatialtemporal distribution prediction of electric vehicle charging load considering charging behavior and real-time SOC[J].Electric Power Construction,2025,46(8):54-66.
- [23]胡梦锴,陈胜,卫志农,等.考虑V2G参与意愿与充电需求的配电网-电动汽车协同优化研究[J].浙江电力,2025,44(8):3-14.Hu Mengkai,Chen Sheng,Wei Zhinong,et al.Research on collaborative optimization of distribution network considering Vehicle-to-Grid and elastic queuing theory[J]. Zhejiang Electric Power,2025,44(8):3-14.
- [24]刘维民,肖辉,曾林俊,等.考虑电动汽车充电模式和供需灵活性的综合能源系统优化调度[J].电力建设,2025,46(6):1-12.Liu Weimin,Xiao Hui,Zeng Linjun,et al.Optimal scheduling of integrated energy systems considering electric vehicle charging patterns and supply-demand flexibility[J].Electric Power Construction,2025,46(6):1-12.
- [25]刘自发,伊特格勒.计及电动汽车碳交易的主动配电网两阶段优化调度[J].现代电力,2025,42(5):1060-1070.Liu Zifa,Yi Tegele.Two-stage optimal dispatching of active distribution network considering electric vehicles carbon trading[J]. Modern Electric Power,2025,42(5):1060-1070.
- [26]邓杰,姜飞,王文烨,等.考虑电热柔性负荷与氢能精细化建模的综合能源系统低碳运行[J].电网技术,2022,46(5):1692-1702.Deng Jie,Jiang Fei,Wang Wenye,et al.Low-carbon optimized operation of integrated energy system considering electric-heat flexible load and hydrogen energy refined modeling[J]. Power System Technology,2022,46(5):1692-1702.
- [27]胡福年,付瑞东,陈军.基于氢能精细化利用与改进碳交易机制的能源优化调度研究[J/OL].控制工程,1-9[2025-10-10].https://link.cnki.net/doi/10.14107/j.cnki.kzgc.20240464.Hu Funian,Fu Ruidong,Chen Jun.Research on energy optimal dispatch based on refined utilization of hydrogen energy and improved carbon trading mechanism[J/OL].Control Engineering of China,1-9[2025-10-10].https://link.cnki.net/doi/10.14107/j.cnki.kzgc.20240464.
- [28]黄缨惠,朱振山,温步瀛,等.基于可逆固体氧化物电池的电热氢耦合孤岛微电网容量规划[J].电网技术,2026,50(1):102-111.Huang Yinghui,Zhu Zhenshan,Wen Buying,et al.Capacity planning of electric-thermal-hydrogen coupled island microgrid based on reversible solid oxide cell[J]. Power System Technology,2026,50(1):102-111.
- [29]邱彬,门佳丽,王凯,等.基于CLH-SOFC气转电技术的热电解耦IES优化调度[J].电力系统及其自动化学报,2022,34(9):88-95.Qiu Bin,Men Jiali,Wang Kai,et al.Optimal scheduling of thermoelectric decoupling IES based on CLH-SOFC gasto-power technology[J].Proceedings of the CSU-EPSA,2022,34(9):88-95.
- [30]刘艳,陈国华,顾雪平.基于热电解耦CCHP和综合需求响应协同优化的配电网韧性提升策略[J].太阳能学报,2024,45(10):186-198.Liu Yan,Chen Guohua,Gu Xueping.Distribution network resilience improvement strategy based on thermoelectric decoupling cchp and integrated demand response collaborative optimization[J].Acta Energiae Solaris Sinica,2024,45(10):186-198.
- [31]周伟,孙永辉,谢东亮,等.计及改进阶梯型碳交易和热电联产机组灵活输出的园区综合能源系统低碳调度[J].电网技术,2024,48(1):61-69.Zhou Wei,Sun Yonghui,Xie Dongliang,et al.Low-carbon dispatch of park-level integrated energy system considering improved ladder-type carbon trading and flexible output of combined heat and power unit[J]. Power System Technology,2024,48(1):61-69.
- [32]杜洋,戴义平,任敬崎,等.采用改进粒子群优化算法的燃机联合循环全工况性能优化方法[J].中国电机工程学报,2021,41(10):3434-3446.Du Yang,Dai Yiping,Ren Jingqi,et al.Performance optimization of gas turbine combined cycle using modified particle swarm optimization algorithm[J].Proceedings of the CSEE,2021,41(10):3434-3446.
- [33]侯慧,王治华,侯婷婷,等.电动汽车虚拟储能支撑的多元调峰辅助服务优化[J].中国电机工程学报,2024,44(增刊1):168-179.Hou Hui,Wang Zhihua,Hou Tingting,et al.Optimization of multi-element peak regulation auxiliary service supported by electric vehicle virtual energy storage[J]. Proceedings of the CSEE,2024,44(S1):168-179.
- [34]马乔.基于电动汽车充电负荷时空分布预测的充电站布局优化及有序充放电策略研究[D].西安:西安理工大学,2023.Ma Qiao.Optimization of charging station layout based on spatiotemporal distribution forecast charging load and research on orderly charging and discharging strategies of electric vehicles[D].Xi’an:Xi’an University of Technology,2023.
- [35]李振坤,胡焜,姚一聪.考虑用户意愿的电动汽车集群可调度容量评估方法[J].浙江电力,2026,45(1):34-47.Li Zhenkun,Hu Kun,Yao Yicong.A dispatch capacity assessment method for electric vehicle clusters considering user willingness[J].Zhejiang Electric Power,2026,45(1):34-47.
- [36]陈霁,王冰,陈玉全,等.基于绿证-阶梯碳交易联合机制的综合能源系统多主体协同优化方法[J].智慧电力,2025,53(9):10-18.Chen Ji,Wang Bing,Chen Yuquan,et al. A multi-agent collaborative optimization method for integrated energy systems based on green certificate-stepped carbon trading joint mechanism[J].Smart Power,2025,53(9):10-18.
- [37]崔杨,周慧娟,仲悟之,等.考虑源荷两侧不确定性的含风电电力系统低碳调度[J].电力自动化设备,2020,40(11):85-91.Cui Yang,Zhou Huijuan,Zhong Wuzhi,et al.Low-carbon scheduling of power system with wind power considering uncertainty of both source and load sides[J]. Electric Power Automation Equipment,2020,40(11):85-91.
- [38]李轶,朱亚萍,王昕.考虑电动汽车出行规律的虚拟电厂鲁棒优化调度[J].电气工程学报,2024,19(2):307-315.Li Yi,Zhu Yaping,Wang Xin.Robust optimal scheduling of virtual power plants considering travel rules of electric vehicles[J]. Journal of Electrical Engineering,2024,19(2):307-315.
- 供需双侧灵活性
- 电动汽车
- Kalina循环
- 低碳经济调度
supply-demand flexibility - electric vehicle
- Kalina cycle
- low-carbon economic dispatch