计及多生物质能与综合需求响应的低碳综合能源系统鲁棒优化

颜湘武; 张育铭; 张仁博; 贾焦心; 王庆澳

doi:10.19912/j.0254-0096.tynxb.2024-1008

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 214-226. DOI: 10.19912/j.0254-0096.tynxb.2024-1008

计及多生物质能与综合需求响应的低碳综合能源系统鲁棒优化

颜湘武, 张育铭, 张仁博, 贾焦心, 王庆澳

作者信息 +

OPTIMIZATION OF LOW CARBON INTEGRATED ENERGY SYSTEMS CONSIDERING MULTIPLE BIOMASS ENERGY SOURCES AND COMPREHENSIVE DEMAND RESPONSE

Yan Xiangwu, Zhang Yuming, Zhang Renbo, Jia Jiaoxin, Wang Qing’ao

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摘要

为实现农业区域综合能源系统（RIES）多能互补及能源高效利用的低碳发展,提出一种计及多生物质能与综合需求响应的农业综合能源低碳调度模型。首先,基于农业区域的生物质能特点,将其分为可燃性生物质能和不可燃性生物质能,分别用不同机组供能。同时,对综合需求响应进行建模,考虑可削减、可转移及可替代3种类型负荷,实现负荷在时间及类型上的转移,深度挖掘需求侧潜力。其次,考虑到源侧和负荷侧的不确定性,建立农业区域综合能源系统（RIES）两阶段鲁棒优化模型,并引入阶梯式碳交易机制降低系统碳排放量,达到低碳运行目的。最后,通过列约束生成算法对该模型求解,算例分析表明,所提优化方案在调度成本降低4.65%、碳排放量下降5.36%的同时使系统鲁棒性与灵活性得到提升,实现农业区域多能协同互补,提高农业区域综合能源系统的整体效益。

Abstract

To achieve low-carbon development of regional integrated energy systems （RIES） with multi-energy complementarity and efficient energy utilization, a low-carbon scheduling model for agricultural integrated energy is proposed, whichconsidersmultiple biomass energy sources and comprehensive demand response. Firstly, based on the characteristics of biomass energy in agricultural regions, it is divided into combustible biomass energy and non-combustible biomass energy, which are supplied by different assembling unit. At the same time, the comprehensive demand response is modeled, considering three types of loads that can be reduced, transferred, and replaced, to achieve the transfer of loads in terms of time and type, and deeply explore the potential of the demand side. Secondly, considering the uncertainty of the source and load sides, a two-stage robust optimization model for the agricultural regional integrated energy system （RIES） is established, and a stepped carbon trading mechanism is introduced to reduce the system's carbon emissions and achieve low-carbon operation. Finally, the model is solved using the column constraint generation algorithm. Case analysis shows that the proposed optimization scheme not only reduces scheduling costs by 4.65% and carbon emissions by 5.36%, but also improves system robustness and flexibility, achieving multi energy synergy and complementarity in agricultural regions, and improving the overall efficiency of the agricultural regional comprehensive energy system.

导出引用

颜湘武, 张育铭, 张仁博, 贾焦心, 王庆澳. 计及多生物质能与综合需求响应的低碳综合能源系统鲁棒优化[J]. 太阳能学报. 2026, 47(1): 214-226 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1008

Yan Xiangwu, Zhang Yuming, Zhang Renbo, Jia Jiaoxin, Wang Qing’ao. OPTIMIZATION OF LOW CARBON INTEGRATED ENERGY SYSTEMS CONSIDERING MULTIPLE BIOMASS ENERGY SOURCES AND COMPREHENSIVE DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 214-226 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1008

中图分类号： TM732

参考文献

[1] 刘小慧, 王小君, 张义志, 等. 考虑生物质储运模式的多区域综合能源系统协同规划[J]. 电工技术学报,2023, 38(6): 1648-1661.LIU X H, WANG X J, ZHANG Y Z, et al. Multi-regional integrated energy system collaborative planning considering biomass storage and transportation mode[J]. Transactions of China Electrotechnical Society, 2023, 38(6): 1648-1661.
[2] 付学谦, 周亚中, 孙宏斌, 等. 园区农业能源互联网在线安全分析: 评述与展望[J]. 中国电机工程学报, 2020, 40(17): 5404-5412.FU X Q, ZHOU Y Z, SUN H B, et al. Online security analysis of a park-level agricultural energy Internet: review and prospect[J]. Proceedings of the CSEE, 2020, 40(17): 5404-5412.
[3] 费凡, 高立艾, 张瑞强, 等. 基于供需协调特性的养殖场沼气热电联供系统优化研究[J]. 太阳能学报,2023,44(4): 231-237.FEI F, GAO L A, ZHANG R Q, et al. Research on optimization of biogas cogeneration system for farms based on characteristics of supply and demand coordination[J]. Acta energiae solaris sinica, 2023, 44(4): 231-237.
[4] 白章, 刘启斌, 李洪强, 等. 基于生物质-太阳能气化的多联产系统模拟及分析[J]. 中国电机工程学报, 2015, 35(1): 112-118.BAI Z, LIU Q B, LI H Q, et al. Performance simulation and analysis of a polygeneration system with solar-biomass gasification[J]. Proceedings of the CSEE, 2015, 35(1): 112-118.
[5] 冯凯辉, 闫湖, 戴吴珍, 等. 计及能源利用效率的含生物质沼气发电农村能源系统优化运行[J]. 中国电力,2022, 55(7): 172-178.FENG K H,YAN H,DAI W Z,et al. Optimal operation of rural energy system with biomass biogas power generation considering energy utilization efficiency[J]. Electric power, 2022, 55(7): 172-178.
[6] 边辉, 陈丽娜, 马凡琳, 等. 基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行[J]. 电力建设,2022, 43(2): 26-36.BIAN H,CHEN L N,MA F L, et al. Optimal operation strategy based on central decoupling and evolutionary game for multiple agricultural integrated energy systems[J]. Electric power construction, 2022, 43(2): 26-36.
[7] 姜飞, 肖昌麟, 易子木, 等. 含光伏与生物质能的生态农业综合能源系统多能协同及低碳运行策略[J]. 中国电机工程学报, 2024, 44(4): 1352-1364.JIANG F, XIAO C L, YI Z M, et al. Multi-energy cooperation and low-carbon operation strategy of eco-agricultural integrated energy system containing photovoltaic and biomass energy[J]. Proceedings of the CSEE, 2024, 44(4): 1352-1364.
[8] 邱彬, 杨瑞雪, 王凯, 等. 考虑源-荷灵活协调响应的综合能源系统两阶段鲁棒优化[J]. 电力系统及其自动化学报, 2025, 37(1): 43-53, 63.QIU B, YANG R X, WANG K, et al. Two-stage robust optimization of integrated energy system considering flexible source-load coordinated response[J]. Proceedings of the CSU-EPSA, 2025, 37(1): 43-53, 63.
[9] 李畸勇, 宋子涵, 刘斌. 含垃圾能源化处理及电动汽车负载的区域综合能源系统协调优化[J]. 电测与仪表, 2024, 61(4): 109-115.LI J Y, SONG Z H, LIU B. Coordinated optimization of regional comprehensive energy system with garbage energy treatment and electric vehicle load[J]. Electrical measurement & instrumentation, 2024, 61(4): 109-115.
[10] 卢锦玲, 刘婧萱, 王惠东. 计及阶梯式碳-绿证联合交易和需求响应的生物质能综合能源系统优化[J]. 电力科学与工程, 2024, 40(7): 10-25.
LU J L, LIU J X, WANG H D.Optimization of biomass energy integrated energy system considering step-by-step carbon-green certificate joint transaction and demand response[J]. Electric power science and engineering, 2024, 40(7): 10-25.
[11] 王守文, 李国祥, 闫文文, 等. 计及改进生物质燃气和阶梯碳交易的综合能源系统低碳经济调度[J]. 电力系统及其自动化学报,2024,36(2):126-134, 143.WANG S W, LI G X, YAN W W, et al. Low-carbon economic dispatching of integrated energy system including improved biomass natural gas and ladder-type carbon trading[J]. Proceedings of the CSU-EPSA,2024,36(2):126-134, 143.
[12] 潘婷, 许彦斌, 王雨晴, 等. 考虑广义综合需求响应的综合能源系统调度优化[J]. 现代电力, 2024, 42(4): 630-639.
PAN T,XU Y B,WANG Y Q,et al.Integrated energy system dispatch optimization considering generalized integrated demand response[J]. Modern electric power, 2024, 42(4): 630-639.
[13] LUO J M, LI Y Q, WANG H J, et al.Optimal scheduling of integrated energy system considering integrated demand response[C]//2023 8th Asia Conference on Power and Electrical Engineering (ACPEE). Tianjin, China, 2023: 110-116.
[14] 袁桂丽, 杨彪, 丁宁, 等. 考虑综合需求响应和阶梯型碳交易的综合能源系统协调优化调度[J]. 现代电力, 2024, 42(4): 659-668.
YUAN G L, YANG B, DING N, et al.Coordinated and optimized dispatching of integrated energy system considering integrated demand response and ladder-type carbon trading[J]. Modern electric power, 2024, 42(4): 659-668.
[15] 杨航, 张涛, 冉华军, 等. 考虑需求响应与碳价不确定性的综合能源系统优化调度[J]. 现代电力, 2024, 42(4): 640-649.
YANG H, ZHANG T, RAN H J, et al.Optimal dispatching of integrated energy systems considering demand response and carbon price uncertainty[J]. Modern electric power, 2024, 42(4): 640-649.
[16] 王玉梅, 周永鑫, 张继钦. 考虑需求侧的综合能源系统虚拟电厂低碳调度[J]. 电工技术, 2023(18): 73-76.WANG Y M, ZHOU Y X, ZHANG J Q. Low carbon economic dispatch of virtual power plant in integrated energy system considering demand side resources and carbon capture[J]. Electric engineering, 2023(18): 73-76.
[17] 任宇路, 程昱舒, 王书姝, 等. 考虑阶梯式碳交易机制的负荷侧灵活响应优化模型[J]. 电力系统及其自动化学报, 2024, 36(8): 23-29.
REN Y L, CHENG Y S, WANG S S, et al.Flexible load-side response optimization model considering a stepped carbon trading mechanism[J]. Proceedings of the CSU-EPSA, 2024, 36(8): 23-29.
[18] 张庆, 王涛, 李川. 计及柔性负荷和碳流的园区综合能源系统优化运行模型研究[J]. 智慧电力, 2024, 52(6): 54-61.ZHANG Q,WANG T,LI C. Optimal operation model of park integrated energy systems considering flexible loads and carbon flows[J]. Smart power, 2024, 52(6): 54-61.
[19] 梁海峰, 徐力, 杨鹏伟, 等. 考虑需求响应的交直流微电网多时间尺度随机优化调度[J]. 华北电力大学学报(自然科学版), 2025, 52(3): 21-31.
LIANG H F,XU L, YANG P W, et al.Multi-time scale stochastic optimal scheduling of AC-DC hybrid microgrid considering demand response[J]. Journal of North China Electric Power University(natural science edition), 2025, 52(3): 21-31.
[20] 马跃, 孟润泉, 李婷婷. 考虑柔性负荷和阶梯式碳交易的微电网鲁棒优化调度[J]. 现代电力, 2024, 41(2): 258-268.MA Y, MENG R Q, LI T T. Robust optimal dispatch of microgrid considering flexible loads and step carbon trading[J]. Modern electric power, 2024, 41(2): 258-268.
[21] 马跃, 孟润泉, 魏斌, 等. 考虑阶梯式碳交易机制的微电网两阶段鲁棒优化调度[J]. 电力系统保护与控制, 2023, 51(10): 22-33.MA Y, MENG R Q, WEI B, et al. Two-stage robust optimal scheduling of a microgrid with a stepped carbon trading mechanism[J]. Power system protection and control, 2023, 51(10): 22-33.
[22] 李守强, 刘宗歧, 王静, 等. 计及热网损耗的乡镇生物质能综合能源系统两阶段优化运行[J]. 电力自动化设备, 2021, 41(4): 24-32.LI S Q, LIU Z Q, WANG J, et al. Two-stage operation optimization of rural biomass energy integrated energy system considering heat network loss[J]. Electric power automation equipment, 2021, 41(4): 24-32.
[23] 包文俊, 葛敏, 袁毅, 等. 计及需求响应的风光储独立微电网技术经济优化[J]. 太阳能学报, 2024, 45(5): 343-350.BAO W J, GE M, YUAN Y, et al. Techno-economic optimization of wind/photovoltaic/storage independent microgrid considering demand response[J]. Acta energiae solaris sinica, 2024, 45(5): 343-350.
[24] 陈伟, 路源, 何欣, 等. 计及风光就地消纳的设施农业产业园区综合能源系统多目标优化调度方法[J]. 电力建设, 2021, 42(7): 20-27.CHEN W, LU Y, HE X, et al. A multi-objective optimal scheduling method for integrated energy system of protected agricultural industrial park considering local consumption rate of wind and solar engery[J]. Electric power construction, 2021, 42(7): 20-27.
[25] 刘一欣, 郭力, 王成山. 微电网两阶段鲁棒优化经济调度方法[J]. 中国电机工程学报, 2018, 38(14): 4013-4022.LIU Y X, GUO L, WANG C S. Economic dispatch of microgrid based on two stage robust optimization[J]. Proceedings of the CSEE, 2018, 38(14): 4013-4022.
[26] 栗然, 吕慧敏, 彭湘泽, 等. 考虑动态定价和碳交易的多园区综合能源服务商低碳合作优化策略[J]. 太阳能学报, 2024, 45(3): 337-346.LI R,LV H M, PENG X Z, et al. Optimization strategy for low-carbon cooperation of multi-district integrated energy service providers considering dynamic pricing and carbon trading[J]. Acta energiae solaris sinica, 2024, 45(3):337-346.
[27] 叶浩劼, 谢丽蓉, 邓佳桐, 等. 考虑碳交易机制的风-火协调低碳优化调度[J]. 太阳能学报, 2023, 44(6): 106-112.YE H J,XIE L R, DENG J T, et al. Wind-fire coordinated low-carbon optimal dispatch considering carbon trading mechanism[J]. Acta energiae solaris sinica, 2023, 44(6): 106-112.