计及碳排放成本的园区综合能源系统供需协同优化方法

窦真兰, 诸卓琳, 张春雁, 李凌宇, 王锰, 景锐, 于航

电力建设 ›› 2026, Vol. 47 ›› Issue (1) : 79-89.

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电力建设 ›› 2026, Vol. 47 ›› Issue (1) : 79-89. DOI: 10.12204/j.issn.1000-7229.2026.01.007
规划建设

计及碳排放成本的园区综合能源系统供需协同优化方法

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Supply-Demand Co-optimisation of Park-Level Integrated Energy Systems Considering Carbon Emission Costs

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摘要

【目的】需求侧技术在园区综合能源系统中具有节约用能与调节负荷的作用,但现有优化设计模型大多仅考虑供应侧要素。为此,构建了一种面向园区综合能源系统的供需协同优化模型。【方法】在需求侧,通过建筑性能仿真构建围护结构改造情景并引入负荷转移型需求响应策略;在供应侧,采用聚类方法提取典型日以表征全年能源需求波动,并通过构建混合整数线性规划(mixed-integer linear programming,MILP)模型进行优化求解。【结果】基于上海某园区的案例研究表明,协同优化模型较仅优化供应侧可降低年度总成本约5%;适度围护结构改造可实现系统最优,其成本可由运行、碳排放和装机成本节约予以抵消。【结论】所建模型为碳税背景下综合能源系统的高效配置与运行优化提供了理论支撑与实践参考。

Abstract

[Objective] Demand-side technologies contribute to energy conservation and load regulation in integrated energy systems. However,most existing models focus solely on optimising the supply-side factors. To address this gap,a supply-demand co-optimisation model for integrated energy systems is developed. [Methods] On the demand side,building performance simulation is used to generate a set of envelope retrofitting scenarios,and a load-shifting-based demand response strategy is introduced to enhance system flexibility. On the supply side,clustering methods are applied to extract typical days to represent annual variations in energy demand. A mixed-integer linear programming model is established to integrate these components and achieve supply-demand co-optimisation. [Conclusions] A case study based on a community in Shanghai shows that the proposed co-optimisation model can reduce the total annual cost by approximately five percent compared to a supply-side-only optimisation approach. Moderate envelope retrofitting enables optimal system performance,and the associated costs can be offset by savings in operational,carbon emission,and installed capacity costs. [Conclusions] The proposed model provides theoretical support and practical reference for the efficient configuration and operational optimisation of integrated energy systems under carbon tax constraints.

关键词

综合能源系统 / 供需协同优化 / 需求侧技术建模 / 碳税

Key words

integrated energy system / supply-demand co-optimisation / demand-side modelling / carbon tax

引用本文

导出引用
窦真兰, 诸卓琳, 张春雁, . 计及碳排放成本的园区综合能源系统供需协同优化方法[J]. 电力建设. 2026, 47(1): 79-89 https://doi.org/10.12204/j.issn.1000-7229.2026.01.007
DOU Zhenlan, ZHU Zhuolin, ZHANG Chunyan, et al. Supply-Demand Co-optimisation of Park-Level Integrated Energy Systems Considering Carbon Emission Costs[J]. Electric Power Construction. 2026, 47(1): 79-89 https://doi.org/10.12204/j.issn.1000-7229.2026.01.007
中图分类号: TM73   

参考文献

[1]
LIU Z Y, YU H, LIU R. A novel energy supply and demand matching model in park integrated energy system[J]. Energy, 2019, 176: 1007-1019.
[2]
束娜, 江山, 刘春伶, 等. 计及灵活性资源多时间尺度协调互济的电-气-热综合能源系统优化调度[J]. 电力建设, 2024, 45(12): 3-15.
SHU Na, JIANG Shan, LIU Chunling, et al. Optimal scheduling of electricity-gas-heat integrated energy system with flexible resources in multiple time scales[J]. Electric Power Construction, 2024, 45(12): 3-15.
[3]
窦真兰, 刘浩, 李鹏, 等. 计及㶲效率的多园区综合能源系统协同优化运行方法[J]. 电网与清洁能源, 2025, 41(1): 61-70.
DOU Zhenlan, LIU Hao, LI Peng, et al. A synergistic and optimized operation method of multi-park integrated energy system considering the exergy efficiency of the system[J]. Power System and Clean Energy, 2025, 41(1): 61-70.
[4]
WANG Y L, MA Y Z, SONG F H, et al. Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response[J]. Energy, 2020, 205: 118022.
[5]
MU C L, DING T, QU M, et al. Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization[J]. Applied Energy, 2020, 280: 115989.
[6]
WU D, HAN Z H, LIU Z J, et al. Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system[J]. Energy, 2021, 217: 119311.
[7]
DOROTIĆ H, PUKŠEC T, DUIĆ N. Analysis of displacing natural gas boiler units in district heating systems by using multi-objective optimization and different taxing approaches[J]. Energy Conversion and Management, 2020, 205: 112411.
[8]
MARTELLI E, FRESCHINI M, ZATTI M. Optimization of renewable energy subsidy and carbon tax for multi energy systems using bilevel programming[J]. Applied Energy, 2020, 267: 115089.
[9]
WANG Y, HOU K, JIA H J, et al. Decoupled optimization of integrated energy system considering CHP plant based on energy hub model[J]. Energy Procedia, 2017, 142: 2683-2688.
[10]
JIANG H C, YAO R M, HAN S Y, et al. How do urban residents use energy for winter heating at home? A large-scale survey in the hot summer and cold winter climate zone in the Yangtze River region[J]. Energy and Buildings, 2020, 223: 110131.
[11]
GU W, WANG Z H, WU Z, et al. An online optimal dispatch schedule for CCHP microgrids based on model predictive control[C]// 2017 IEEE Power & Energy Society General Meeting. IEEE, 2017: 1.
[12]
LIU Y M, LIU T T, YE S D, et al. Cost-benefit analysis for energy efficiency retrofit of existing buildings: a case study in China[J]. Journal of Cleaner Production, 2018, 177: 493-506.
[13]
WANG Y X, WEI C Y. Design optimization of office building envelope based on quantum genetic algorithm for energy conservation[J]. Journal of Building Engineering, 2021, 35: 102048.
[14]
易文飞, 张潼, 岳东, 等. 考虑不确定性的楼宇综合能源系统日前调度[J]. 电力工程技术, 2024, 43(4): 166-176.
YI Wenfei, ZHANG Tong, YUE Dong, et al. Day-ahead scheduling of building integrated energy system considering uncertainty[J]. Electric Power Engineering Technology, 2024, 43(4): 166-176.
[15]
CHANG S, CASTRO-LACOUTURE D, YAMAGATA Y. Decision support for retrofitting building envelopes using multi-objective optimization under uncertainties[J]. Journal of Building Engineering, 2020, 32: 101413.
[16]
颜龙飞, 王维, 卞斌, 等. 一种用于建筑负荷预测的动态修正方法及其在综合能源规划中的应用[J]. 区域供热, 2022(2): 127-134.
YAN Longfei, WANG Wei, BIAN Bin, et al. A dynamic correction method for building load forecasting and its application in comprehensive energy planning[J]. District Heating, 2022(2): 127-134.
[17]
邵兆楠, 高岩. 基于EnergyPlus和Jeplus+EA联合模拟的建筑围护结构及光储系统协同优化研究[J]. 西安建筑科技大学学报(自然科学版), 2024, 56(2): 292-300.
SHAO Zhaonan, GAO Yan. Research on collaborative optimization of building envelope andhybrid solar photovoltaic-electrical energy storage system based on EnergyPlus and Jeplus+EA joint simulation[J]. Journal of Xi’an University of Architecture & Technology (Natural Science Edition), 2024, 56(2): 292-300.
[18]
张文豪, 李红莲, 王梦丽, 等. 不同能源系统的典型气象年生成方法研究[J]. 太阳能学报, 2023, 44(3): 8-14.
摘要
基于Sandia方法,对北京地区的3种不同能源系统(全空调建筑和2个可再生能源系统),采用随机森林提取特征重要性的方法替代专家判断,定量地分配权重因子,生成适用于不同能源系统的典型气象年(TMY),并利用EnergyPlus进行模拟分析。结果显示:该方法可定量地生成适用于不同能源系统的权重因子集,用于生成相应的TMY。根据不同能源系统的特性,对时间段进行划分并提取对应的权重因子集,可进一步提高TMY的代表性。
ZHANG Wenhao, LI Honglian, WANG Mengli, et al. Research on generation methods of typical meteorological years for different energy systems[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 8-14.
Based on the Sandia method, this paper uses random forest to extract the importance of features instead of expert judgment to generate typical meteorological years (TMY) for three different energy systems (one fully air-conditioned building and two renewable energy systems) in Beijing. Energy Plus is used for simulation and analysis. The results show that this method can quantitatively generate the weight factor subsets suitable for different energy systems, which can be used to generate the corresponding TMY. The representativeness of TMY can be further improved by dividing time periods according to the characteristics of different energy systems and extracting corresponding weight factor subsets.
[19]
石蔚杰, 刘青荣. 基于分时电价的建筑虚拟储能利用[J]. 上海电力大学学报, 2022, 38(6): 601-604.
SHI Weijie, LIU Qingrong. Utilization of building virtual energy storage based on time-of-use electricity price[J]. Journal of Shanghai University of Electric Power, 2022, 38(6): 601-604.
[20]
ZHENG Z, LI X, PAN J, et al. A multi-year two-stage stochastic programming model for optimal design and operation of residential photovoltaic-battery systems[J]. Energy and Buildings, 2021, 239: 110835.
[21]
FERRARA M, ROLFO A, PRUNOTTO F, et al. EDeSSOpt-energy demand and supply simultaneous optimization for cost-optimized design: application to a multi-family building[J]. Applied Energy, 2019, 236: 1231-1248.
[22]
PERERA A T D, JAVANROODI K, NIK V M. Climate resilient interconnected infrastructure: co-optimization of energy systems and urban morphology[J]. Applied Energy, 2021, 285: 116430.
[23]
魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
摘要
综合能源系统是实现“双碳”目标的有效途径,为进一步挖掘其需求侧可调节潜力对碳减排的作用,提出了一种碳交易机制下考虑需求响应的综合能源系统优化运行模型。首先,根据负荷响应特性将需求响应分为价格型和替代型2类,分别建立了基于价格弹性矩阵的价格型需求响应模型,及考虑用能侧电能和热能相互转换的替代型需求响应模型;其次,采用基准线法为系统无偿分配碳排放配额,并考虑燃气轮机和燃气锅炉的实际碳排放量,构建一种面向综合能源系统的碳交易机制;最后,以购能成本、碳交易成本及运维成本之和最小为目标函数,建立综合能源系统低碳优化运行模型,并通过4类典型场景对所提模型的有效性进行了验证。通过对需求响应灵敏度、燃气轮机热分配比例和不同碳交易价格下系统的运行状态分析发现,合理分配价格型和替代型需求响应及燃气轮机产热比例有利于提高系统运行经济性,制定合理的碳交易价格可以实现系统经济性和低碳性协同。
WEI Zhenbo, MA Xinru, GUO Yi, et al. Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric Power Construction, 2022, 43(1): 1-9.

The integrated energy system (IES) is an effective way to achieve the“carbon neutrality and emission peak”goal. In order to further explore the role of the adjustable potential of demand side on carbon emission reduction, an optimized operation model of IES considering the demand response under the carbon trading mechanism is proposed. Firstly, according to the characteristics of load response, the demand response is divided into two types: price-type and substitution-type. The price-type demand response model is established on the basis of price elasticity matrix, and the substitution-type demand response model is constructed by considering the conversion of electricity and heat. Secondly, base-line method is used to allocate free carbon emission quota for the system, and considering the actual carbon emissions of gas turbine and gas boiler, a carbon trading mechanism for the IES is constructed. Finally, a low-carbon optimal operation model of IES is established, whose objective is to minimize the sum cost of energy purchase, cost of carbon transaction and cost of IES operation and maintenance. The effectiveness of the proposed model is verified through four typical scenarios. By analyzing the sensitivity of demand response, heat distribution ratio of gas turbine and the operating state of the system under different carbon trading prices, it is found that reasonable allocation of price-type and substitution-type demand response and heat production ratio of gas turbine is beneficial to improve the operating economy of the system. Making reasonable carbon trading price can realize the coordination of system economy and low carbon.

[24]
刘铠诚, 贾晓强, 何桂雄, 等. 计及虚拟储能的冷热电综合能源系统优化调度方法[J]. 浙江电力, 2024, 43(12): 38-48.
LIU Kaicheng, JIA Xiaoqiang, HE Guixiong, et al. An optimal scheduling method for IES considering virtual energy storage[J]. Zhejiang Electric Power, 2024, 43(12): 38-48.
[25]
冯野牧, 吕干云, 史明明, 等. 考虑EV充放电意愿的园区综合能源系统双层优化调度[J]. 电力工程技术, 2024, 43(2): 142-153.
FENG Yemu, LYU Ganyun, SHI Mingming, et al. Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles[J]. Electric Power Engineering Technology, 2024, 43(2): 142-153.
[26]
居住建筑节能设计标准: DG/TJ 08-205—2015[S]. 上海: 同济大学出版社, 2015.
Design standard for energy efficiency of residential buildings: DG/TJ 08-205—2015[S]. Shanghai: Tongji University Press, 2015.
[27]
居住建筑节能设计标准: DG/TJ 08-205—2024[S]. 上海: 同济大学出版社, 2024.
Design standard for energy efficiency of residential buildings: DG/TJ 08-205—2024[S]. Shanghai: Tongji University Press, 2024.
[28]
JI Y F, LI G C, SU F H, et al. Retrofit analysis of city-scale residential buildings in the hot summer and cold winter climate zone[J]. Energies, 2023, 16(17): 6152.
The rising energy consumption in residential buildings within the hot summer and cold winter (HSCW) climate zone, driven by occupants’ pursuit of improved thermal comfort, necessitates effective energy conservation measures. This study established urban building energy models for 32,145 residential buildings in Changsha City, China, and conducted a comprehensive retrofit analysis of seven energy conservation measures (ECMs). Additionally, the study assessed the impact of residents’ conscious energy-saving behaviors concerning air conditioner (AC) control. The research commenced by creating six baseline models representative of the diverse building stock. Identifying seven commonly used ECMs, the study examined the potential of each measure for enhancing energy efficiency. To facilitate the analysis, a dedicated toolkit, AutoBPS-Retrofit, was developed to efficiently modify the baseline model for each ECM. Furthermore, the investigation delved into the investment cost of implementing the ECMs and evaluated their simple payback year (PBP) and net present value (NPV). The results demonstrate that tailored retrofit plans are essential when addressing envelope improvements, varying according to building types and ages. Retrofits targeting lighting systems offer both promising energy savings and favorable economic viability, albeit subject to residents’ preferences. Alternatively, upgrading the AC systems emerges as the most energy-efficient approach, yet the economic assessment raises concerns. The study’s findings offer practical insights for governments seeking to establish effective carbon reduction goals and policies. Moreover, the research can assist energy-saving institutions, real-estate companies, and stakeholders involved in renovation projects by offering guidance in making informed decisions to enhance energy efficiency in city-scale residential buildings.
[29]
JING R, XIE M N, WANG F X, et al. Fair P2P energy trading between residential and commercial multi-energy systems enabling integrated demand-side management[J]. Applied Energy, 2020, 262: 114551.
[30]
RUIZ L G B, PEGALAJAR M C, ARCUCCI R, et al. A time-series clustering methodology for knowledge extraction in energy consumption data[J]. Expert Systems with Applications, 2020, 160: 113731.
[31]
HE X Y, HUANG J Z, LIU Z K, et al. Topology optimization of thermally activated building system in high-rise building[J]. Energy, 2023, 284: 128637.
[32]
JING R, HUA W Q, LIN J, et al. Cost-efficient decarbonization of local energy systems by whole-system based design optimization[J]. Applied Energy, 2022, 326: 119921.
[33]
AN Y F, ZHAI X Q. SVR-DEA model of carbon tax pricing for China’s thermal power industry[J]. Science of The Total Environment, 2020, 734: 139438.
[34]
JING R, WANG M, ZHANG Z H, et al. Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties[J]. Applied Energy, 2019, 252: 113424.
[35]
张涛, 胡泽春, 张丹阳. 楼宇综合能源系统容量配置优化[J]. 电力建设, 2019, 40(8): 3-11.
摘要
冷热电三联供系统在满足用户多种负荷需求的同时梯级利用能源,系统能源利用效率高。随着可再生能源技术的迅速发展,集成多种可再生能源的综合能源系统受到广泛的关注。由于不同地区、不同建筑类型的多能源负荷需求差异较大,文章基于负荷模拟获得典型建筑冷热电负荷需求,分析不同气候区域不同建筑类型的热电比、冷电比等负荷需求特征。将能源的利用过程归为生产、回收、转换和储存四环节,基于能量平衡原则建立包含四环节的综合能源系统的混合整数非线性规划模型,从而获得影响综合能源系统和三联供系统经济性的重要因素,研究综合能源系统、三联供系统配置在不同地区和建筑的适用特点,结果体现出不同地区、建筑类型综合能源系统配置的差异性。
ZHANG Tao, HU Zechun, ZHANG Danyang. Study on optimal capacity planning of building integrated energy system[J]. Electric Power Construction, 2019, 40(8): 3-11.
The efficiency of combined cooling heating and power (CCHP) is high on account of cascading energy utilization to meet the multiple load requirements. With the rapid development of renewable energy technology, integrated energy system incorporating with various renewable energies has been widely concerned. The multi-energy demands of different building types vary greatly in different regions. This paper obtains the typical building cooling, heating and power demands on the basis of the simulation of multi-energy demands, and analyzes the energy demand characteristics, which include the heat-power ratio and cooling-power ratio in different building types. Moreover, this paper deduces energy production, recycle, conversion and storage segments from energy utilization process. A mixed integer nonlinear programming model (MINLP) is built for above four segments in integrated energy system on the basis of the energy balance principle. The factors which have prominent influences on integrated energy system are identified. Simulation results show that the optimal configurations of integrated energy system and CCHP equipment, obtained by the proposed method, change with different locations and types of buildings.

基金

国家自然科学基金项目(52306027)
国家重点研发计划项目(2018YFC0704602)

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