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【目的】针对电-热-氢多能耦合综合能源系统在源荷双侧不确定性下的容量配置问题,提出一种考虑模糊机会约束的双层优化模型,旨在实现系统经济性与环境性的协同优化。【方法】本文建立包含电-热-氢的多能耦合综合能源系统,利用模糊机会约束描述源荷双侧的不确定性,引入碳交易机制,通过建立双层模型求解该系统设备容量配置方案。【结果】研究表明当考虑源荷不确定性后,系统内各发电单元的配置容量均有所提高以满足随时可能出现的风险波动,总成本上升22.4%。储热作为成本低廉且无碳排放的灵活性调节资源可以显著降低系统规划总成本,而碳交易成本的加入将会降低燃气设备配置容量并提高系统总成本3.91%。典型日调度结果显示,电解制氢单元在谷时产氢,系统可出售氢气获取收益。储电和储热系统在用能低谷时利用低电价充能,在用能高峰实现削峰。考虑不确定性后,电网购电量增加且燃气轮机保持额定功率输出,运行成本上升19.8%,但同时提高了系统风光消纳量。当电网初始碳配额为正,则不需要在碳交易市场上购入额外碳配额,并且有富余可供出售。当系统置信水平从0.60增加到0.95,系统典型日运行成本增加12.9%。【结论】本文所提双层规划模型在保障系统用能安全的基础上,实现了经济性与环保性的平衡,提升了系统对源荷不确定性的应对能力。
Abstract:[Objective]To address the capacity configuration problem of an electric-thermal-hydrogen multi-energy coupled integrated energy system under source-load uncertainties, a two-layer optimization model considering fuzzy chance constraints is proposed, aiming to achieve synergistic optimization of both economic efficiency and environmental performance. [Methods]This paper establishes a multi-energy coupled integrated energy system incorporating electricity, heat, and hydrogen. Fuzzy chance constraints are used to describe the uncertainties on both the source and load sides, and a carbon trading mechanism is introduced. A two-layer model is established to solve the equipment capacity configuration scheme for the system. [Results]The study shows that after considering source-load uncertainty, the configuration capacity of each power generation unit in the system increases to meet potential risk fluctuations, with the total cost rising by 22.4%. Thermal storage, as a low-cost and carbon-free flexible regulation resource, can significantly reduce the total system planning cost, while the addition of carbon trading costs reduces the configuration capacity of gas-fired equipment and increases the total system cost by 3.91%. Typical daily scheduling results indicate that the hydrogen production unit operates during off-peak hours, allowing the system to sell hydrogen for revenue. The power and heat storage systems charge during low-energy consumption periods using low electricity prices and shave peaks during high-energy consumption periods. After considering uncertainty, power purchases from the grid increase and the gas turbine maintains rated power output, leading to a 19.8% increase in operating costs, but simultaneously improving the system's wind and solar power consumption. When the initial carbon quota for the grid is positive, there is no need to purchase additional carbon quotas on the carbon trading market, and surplus quotas are available for sale. When the system confidence level increases from 0.60 to 0.95, the typical daily operating cost increases by 12.9%.[Conclusion] The proposed two-layer planning model achieves a balance between economy and environmental protection while ensuring system energy security, and enhances the system's ability to cope with sourceload uncertainties.
[1]ZHENG Z,SHAFIQUE M,LUO X W,et al. A systematic review towards integrative energy management of smart grids and urban energy systems[J]. Renewable and Sustainable Energy Reviews,2024,189:114023.
[2]尚文强,李广磊,丁月明,等.考虑源荷不确定性和新能源消纳的综合能源系统协同调度方法[J].电网技术,2024,48(2):517-532.SHANG Wenqiang, LI Guanglei, DING Yueming, et al.Collaborative scheduling for integrated energy system considering uncertainty of source load and absorption of new energy[J]. Power System Technology,2024,48(2):517-532.
[3]熊展,王素,王玲玲,等.考虑多能互补灵活性和用户低碳意愿的区域综合能源系统鲁棒优化调度[J].电网技术,2024,48(7):2691-2701.XIONG Zhan,WANG Su,WANG Lingling,et al. Robust optimal scheduling of regional integrated energy system considering multienergy flexibility complementary and users'low-carbon willingness[J]. Power System Technology,2024,48(7):2691-2701.
[4]王永利,滕越,袁博,等.考虑风光不确定性的综合能源系统容量-成本两阶段规划优化研究[J].可再生能源,2024,42(4):513-521.WANG Yongli,TENG Yue,YUAN Bo,et al. Capacity-cost twostage planning optimization of integrated energy systems considering uncertainty of wind and solar energy output[J].Renewable Energy Resources,2024,42(4):513-521.
[5]周帆,陈龙,赵珺,等计及多元不确定性的综合能源系统优化配置[J].控制理论与应用,2024,41(3):533-542.ZHOU Fan,CHEN Long,ZHAO Jun,et al. Optimal configuration for integrated energy system considering multiple uncertainties[J].Control Theory&Applications. 2024,41(3):533-542.
[6]周特,薛云飞,季节,等.考虑电力间接碳排放不确定性的电-冷-热综合能源系统两阶段鲁棒优化方法[J].电网技术,2024,48(1):50-63.ZHOU Te,XUE Yunfei,JI Jie,et al. Two-stage robust optimization for electricity-cooling-heat integrated energy system considering uncertainty of indirect carbon emissions of electricity[J]. Power System Technology,2024,48(1):50-63.
[7]李爱武,邸亮,董杰,等.考虑源荷双重不确定性的综合能源系统规划优化[J].西安工程大学学报, 2024, 38(5):77-85.LI Aiwu,DI Liang,DONG Jie,et al. Efficient planning and optimization of integrated energy system considering double uncertainty of source and load[J]. Journal of Xi’an Polytechnic University, 2024, 38(5):77-85.
[8]申鸿帅,吕家君,李更丰,等.考虑热储灵活配置与热网水力热力特性的电热综合能源系统优化规划[J].电力自动化设备,2024,44(7):214-222, 254.SHEN Hongshuai,LYU Jiajun, LI Gengfeng,et al. Optimal planning of integrated electricity and heating system considering flexible configuration of thermal storage and hydraulic-thermal characteristics of thermal network[J]. Electric Power Automation Equipment,2024,44(7):214-222+254.
[9]于雪风,徐桂芝.含储氢及电蓄热的园区综合能源系统优化配置[J].电力需求侧管理,2024,26(6):30-36.YU Xuefeng,XU Guizhi. Optimized configuration of integrated energy system for parks with hydrogen storage and electric heat storage[J]. Power Demand Side Management,2024,26(6):30-36.
[10]SUN J. Self-operation and low-carbon scheduling optimization of solar thermal power plants with thermal storage systems[J].Energy Informatics,2024,7(1):30.
[11]WANG Y,LIU C,LIN M Y. Synergistic planning of an integrated energy system containing hydrogen storage with the coupled use of electric-thermal energy[J]. International journal of hydrogen energy, 2023, 48(40):15154.
[12]蒙军,任洲洋,王皓.氢能交互下的多区域电氢综合能源系统可靠性提升策略[J].电工技术学报,2024,39(16):5011-5027.MENG Jun,REN Zhouyang,WANG Hao. Reliability improvement strategies of multi-region electricity-hydrogen integrated energy systems considering hydrogen interaction between different regions[J]. Transactions of China Electrotechnical Society, 2024, 39(16):5011-5027.
[13]张丝钰,张宁,代红才,等.可再生能源电解水制氢系统规划优化与生产模拟[J].中国电力,2024,57(4):52-60.ZHANG Siyu,ZHANG Ning,DAI Hongcai,et al. Optimization and simulation on hydrogen production system using water electrolysis powered by renewable energy[J]. Electric Power,2024, 57(4):52-60.
[14]宋梦,林固静,高赐威,等.考虑多重不确定性的广义共享储能优化配置方法[J].电工技术学报,2025,40(5):1521-1539.SONG Meng,LIN Gujing,GAO Ciwei,et al. A generalized shared energy storage optimization configuration method considering multiple uncertainties[J]. Transactions of China Electrotechnical Society, 2025, 40(5):1521-1539.
[15]周建华,梁昌誉,史林军,等.计及阶梯式碳交易机制的综合能源系统优化调度[J].中国电力,2025,58(2):77-87.ZHOU Jianhua, LIANG Changyu, SHI Linjun, et al. Optimal scheduling of integrated energy system considering the laddertype carbon trading mechanism[J]. Electric Power,2025,58(2):77-87.
[16]LI C P,ZHANG H,ZHOU H Y,et al. Double-layer optimized configuration of distributed energy storage and transformer capacity in distribution network[J]. International Journal of Electrical Power&Energy Systems,2023,147:108834.
[17]智筠贻,凌浩恕,吴昊,等.风光储多能互补能源系统容量配置优化[J].储能科学与技术,2024,13(11):3874-3888.ZHI Junyi,LING Haoshu,WU Hao,et al. Optimization of capacity configuration for multi-energy complementary systems using wind, solar, and energy storage[J]. Energy Storage Science and Technology,2024,13(11):3874-3888.
[18]郑诗程,许浩,郎佳红,等.计及光伏不确定性的多区域综合能源系统多场景分布鲁棒优化调度[J].太阳能学报,2024,45(3):460-469.ZHENG Shicheng,XU Hao,LANG Jiahong,et al. Multi-scenario distributed robust optimal scheduling of multi-area integrated energy systems considering photovoltaic uncertainty[J]. Acta Energiae Solaris Sinica,2024,45(3):460-469.
[19]黄悦华,陈庆,张磊,等.考虑园区自备热电联产机组运行约束的电热耦合系统动态优化调度[J].电工技术学报,2023,38(16):4433-4447.HUANG Yuehua,CHEN Qing,ZHANG Lei,et al. Dynamic optimal scheduling of combined electrical and heat system considering state operation constraints of CHP units in the park[J]. Transactions of China Electrotechnical Society,2023,38(16):4433-4447.
[20]熊家,夏杨红,程浩然,等.适用于光伏直驱的碱液电解制氢高效变流控制策略[J].太阳能学报,2024,45(9):41-49.XIONG Jia,XIA Yanghong,CHENG Haoran,et al. Converter control strategy for efficient hydrogen production from alkaline water electrolyzers suitable for pv direct drive[J]. Acta Energiae Solaris Sinica,2024,45(9):41-49.
[21]张晶晶,李淑杨,齐先军,等.计及模糊随机不确定性的聚合商调度策略[J].电力自动化设备,2023,43(6):160-167.ZHANG Jingjing,LI Shuyang,QI Xianjun,et al. Dispatching strategy of aggregator considering fuzzy random uncertainty[J].Electric Power Automation Equipment,2023,43(6):160-167.
[22]CHENG H R,XIA Y H,WEI W,et al. Safety and efficiency problems of hydrogen production from alkaline water electrolyzers driven by renewable energy sources[J]. International Journal of Hydrogen Energy,2024,54:700-712.
[23]GUIGNARD F,AMATO F,KANEVSKI M. Uncertainty quantification in extreme learning machine:Analytical developments, variance estimates and confidence intervals[J]. Neurocomputing,2021,456:436-449.
[24]LIANG H X,CHEN H,GAO Y,et al. Flexibility improvement of a coal-fired power plant by the integration of biogas utilization and molten salt thermal storage[J]. Energy,2024,304:132201.
[25]RAHMANI A,DIBAJ M,AKRAMI M. Enhancing heat storage cooling systems via the implementation of honeycomb-inspired design:Investigating efficiency and performance[J]. Energies,2024, 17(2):351.
[26]沈赋,杨光兵,王健,等.计及电-气园区综合能源系统多重不确定性的变置信区间优化调度[J].电力自动化设备,2024,44(11):33-40.SHEN Fu,YANG Guangbing,WANG Jian,et al. Optimal scheduling with variable confidence interval considering multiple uncertainties of electricity-gas park integrated energy system[J].Electric Power Automation Equipment,2024,44(11):33-40.
[27]陆锐杰,陈旭伟,蒋欣军.非确定环境下电厂运行趋势的动态预测方法[J].电力科技与环保,2020,36(6):14-17.LU Ruijie,CHEN Xuwei,JIANG Xinjun. Dynamic prediction method of power plant operation trend in uncertain environment[J]. Electric Power Technology and Environmental Protection,2020, 36(6):14-17.
基本信息:
DOI:10.19944/j.eptep.1674-8069.2026.03.014
中图分类号:TM73;TK01
引用信息:
[1]沈昊天,徐玉杰,周学志,等.考虑源荷不确定性的电-热-氢综合能源系统容量配置优化[J].电力科技与环保,2026,42(03):482-496.DOI:10.19944/j.eptep.1674-8069.2026.03.014.
基金信息:
中国科学院国际合作局对外合作重点项目资助(117GJHZ2023009MI);中国科学院战略性先导科技专项资助项目(XDC0190000); 江苏省碳达峰碳中和科技创新专项重大创新载体建设项目(BM2022001)
2025-07-07
2025
2025-12-30
2025-12-25
2025
1
2026-06-15
2026-06-15