考虑多能互补的区域综合能源系统多种储能优化配置
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摘要
在区域综合能源系统中配置多种储能装置可提高系统的经济效益,是区域综合能源系统规划的重要研究方向。基于区域综合能源系统的基础架构和模型,研究了蓄冷、储热、储电和混合储能在冷热电联供(CCHP)机组和电制冷等设备多能互补协同运行情况下的盈利策略,讨论了系统配置不同储能的经济性和可行性,建立了全寿命周期的冷热电储能调度规划双层优化模型,并利用确定性迭代算法进行求解。针对某实际区域综合能源系统的多个供能季不同日负荷曲线,应用双层优化模型求解运行调度方案和储能配置容量。算例结果表明:配置蓄冷和储热在多能互补协同运行系统中有较大的盈利空间,而配置储电的利润空间较小,且考虑多能互补的混合储能方法可以进一步挖掘系统的盈利能力。
The configuration of multi-energy storage devices in the RIES( Regional Integrated Energy System) can greatly improve the economic benefits of the system and it is an important research direction of RIES planning. Based on the infrastructure and model of RIES,the profit strategies of cooling storage,heating storage,power energy storage and hybrid energy storage in the multi-energy complementation synergistic operation of CCHP( Combined Cooling,Heating and Power) units and electric refrigeration equipment are studied,the economy and feasibility of different energy storage configurations are discussed. A bi-level optimization model for life-cycle dispatching planning of cooling-heating-power energy storage is established,which is solved by the deterministic iterative algorithm. Based on the different daily load curves in multiple power-supply seasons of an actual RIES,the proposed bi-level optimization model is used to solve the operation scheduling scheme and the capacity configuration of energy storages. Simulative results show that the configuration of cooling storage and heating storage in the RIES has a greater profit margin,while the configuration of power energy storage has a smaller profit margin and the configuration of hybrid energy storage can further excavate the profitability of the system.
The configuration of multi-energy storage devices in the RIES( Regional Integrated Energy System) can greatly improve the economic benefits of the system and it is an important research direction of RIES planning. Based on the infrastructure and model of RIES,the profit strategies of cooling storage,heating storage,power energy storage and hybrid energy storage in the multi-energy complementation synergistic operation of CCHP( Combined Cooling,Heating and Power) units and electric refrigeration equipment are studied,the economy and feasibility of different energy storage configurations are discussed. A bi-level optimization model for life-cycle dispatching planning of cooling-heating-power energy storage is established,which is solved by the deterministic iterative algorithm. Based on the different daily load curves in multiple power-supply seasons of an actual RIES,the proposed bi-level optimization model is used to solve the operation scheduling scheme and the capacity configuration of energy storages. Simulative results show that the configuration of cooling storage and heating storage in the RIES has a greater profit margin,while the configuration of power energy storage has a smaller profit margin and the configuration of hybrid energy storage can further excavate the profitability of the system.
引文
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[18]向育鹏,卫志农,孙国强,等.基于全寿命周期成本的配电网蓄电池储能系统的优化配置[J].电网技术,2015,39(1):264-270.XIANG Yupeng,WEI Zhinong,SUN Guoqiang,et al. Optimal allocation of battery energy storage system in distribution network based on life cycle cost[J]. Power System Technology,2015,39(1):264-270.
[19]肖小清,阚伟民,杨允,等.有蓄能的联供系统超结构优化配置[J].中国电机工程学报,2012,32(32):8-14.XIAO Xiaoqing,KAN Weimin,YANG Yun,et al. Superstructure-based optimal planning of cogeneration systems with storage[J]. Proceedings of the CSEE,2012,32(32):8-14.
[20]薛小代,陈晓弢,梅生伟,等.采用熔融盐蓄热的非补燃压缩空气储能发电系统性能[J].电工技术学报,2016,31(14):11-20.XUE Xiaodai,CHEN Xiaotao,MEI Shengwei,et al. Performance of non-supplementary fired compressed air energy storage with molten salt heat storage[J]. Transactions of China Electrotechnical Society,2016,31(14):11-20.
[21]田崇翼,张承慧,李珂,等.含压缩空气储能的微网复合储能技术及其成本分析[J].电力系统自动化,2015,39(10):36-41.TIAN Chongyi,ZHANG Chenghui,LI Ke,et al. Composite energy storage technology with compressed air energy storage in microgrid and its cost analysis[J]. Automation of Electric Power Systems,2015,39(10):36-41.
[22]张仁元.相变材料与相变储能技术[M].北京:科学出版社,2009:285-293.
[23]杨艳红,裴玮,齐智平.基于动态运行策略的混合能源微网规划方法[J].电力系统自动化,2012,36(19):30-36.YANG Yanhong,PEI Wei,QI Zhiping. Planning method for hybrid energy microgrid based on dynamic operation strategy[J]. Automation of Electric Power Systems,2012,36(19):30-36.
[24]BDI initiative. Internet of energy ICT for energy markets of the future,BDI no. 439[R]. Berlin,Germany:Federation of German Industries,2008.
[25]黄仁乐,蒲天骄,刘克文,等.城市能源互联网功能体系及应用方案设计[J].电力系统自动化,2015,39(9):26-33.HUANG Renle,PU Tianjiao,LIU Kewen,et al. Design of hierarchy and functions of regional energy internet and its demonstration applications[J]. Automation of Electric Power Systems,2015,39(9):26-33.
[26]邱海伟.基于多目标的微电网优化调度研究[D].上海:上海电力学院,2013.QIU Haiwei. Research of microgrid optimal operation based on multi-objective[D]. Shanghai:Shanghai University of Electric Power,2013.
[2]贾宏杰,王丹,徐宪东,等.区域综合能源系统若干问题研究[J].电力系统自动化,2015,39(7):198-207.JIA Hongjie,WANG Dan,XU Xiandong,et al. Research on some key problems related to integrated energy systems[J]. Automation of Electric Power Systems,2015,39(7):198-207.
[3]王伟亮,王丹,贾宏杰,等.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016,36(12):3292-3305.WANG Weiliang,WANG Dan,JIA Hongjie,et al. Review of steadystate analysis of typical regional integrated energy system under the background of energy internet[J]. Proceedings of the CSEE,2016,36(12):3292-3305.
[4]GEIDL M,KOEPPEL G,FAVRE-PERROD P,et al. Energy hubs for the future[J]. IEEE Power and Energy Magazine,2007,5(1):24-30.
[5]GEIDL M,ANDERSSON G. A modeling and optimization approach for multiple energy carrier power flow[C]∥2005 IEEE Russia Power Tech. St. Petersburg,Russia:IEEE,2005:1-7.
[6]KOEPPEL G A. Reliability considerations of future energy systems:multi-carrier systems and the effect of energy storage[D]. Zurich,Switzerland:Swiss Federal Institute of Technology,2007.
[7]郝然,艾芊,朱宇超,等.基于能源集线器的区域综合能源系统分层优化调度[J].电力自动化设备,2017,37(6):171-178.HAO Ran,AI Qian,ZHU Yuchao,et al. Hierarchical optimal dispatch based on energy hub for regional integrated energy system[J]. Electric Power Automation Equipment,2017,37(6):171-178.
[8]MAGO P J,CHAMRA L M. Analysis and optimization of CHP systems based on energy,economical,and environmental considerations[J]. Energy and Buildings,2009,41(10):1099-1106.
[9]LIU M X,SHI Y,FANG F. A new operation strategy for CCHP systems with hybrid chillers[J]. Applied Energy,2012,95(2):164-173.
[10]王成山,洪博文,郭力,等.冷热电联供微网优化调度通用建模方法[J].中国电机工程学报,2013,33(31):26-33.WANG Chengshan,HONG Bowen,GUO Li,et al. A general modeling method for optimal dispatch of combined cooling,heating and power microgrid[J]. Proceedings of the CSEE,2013,33(31):26-33.
[11]姜子卿,郝然,艾芊.基于冷热电多能互补的工业园区互动机制研究[J].电力自动化设备,2017,37(6):260-267.JIANG Ziqing,HAO Ran,AI Qian. Interaction mechanism of industrial park based on multi-energy complementation[J]. Electric Power Automation Equipment,2017,37(6):260-267.
[12]甘霖,陈瑜玮,刘育权,等.含可再生能源的微网冷-热-电多能流协同优化与案例分析[J].电力自动化设备,2017,37(6):275-281.GAN Lin,CHEN Yuwei,LIU Yuquan,et al. Coordinative optimization of multiple energy flows for microgrid with renewable energy resources and case study[J]. Electric Power Automation Equipment,2017,37(6):275-281.
[13]GUO Li,LIU Wenjian,CAI Jiejin,et al. A two-stage optimal planning and design method for combined cooling,heat and power microgrid system[J]. Energy Conversion and Management,2013,74:433-445.
[14]BARATI F,SEIFI H,SEPASIAN M S,et al. Multi-period integrated framework of generation,transmission,and natural gas grid expansion planning for large-scale systems[J]. IEEE Transactions on Power Systems,2015,30(5):2527-2537.
[15]赵峰,张承慧,孙波,等.冷热电联供系统的三级协同整体优化设计方法[J].中国电机工程学报,2015,35(15):3785-3793.ZHAO Feng,ZHANG Chenghui,SUN bo,et al. Three-stage collaborative global optimization design method of combined cooling heating and power[J]. Proceedings of the CSEE,2015,35(15):3785-3793.
[16]QIU J,DONG Z Y,ZHAO J H,et al. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market[J]. IEEE Transactions on Power Systems,2015,30(4):2119-2129.
[17]别朝红,王旭,胡源.能源互联网规划研究综述及展望[J].中国电机工程学报,2017,37(22):6445-6462,6757.BIE Zhaohong,WANG Xu,HU Yuan. Review and prospect of planning of energy internet[J]. Proceedings of the CSEE,2017,37(22):6445-6462,6757.
[18]向育鹏,卫志农,孙国强,等.基于全寿命周期成本的配电网蓄电池储能系统的优化配置[J].电网技术,2015,39(1):264-270.XIANG Yupeng,WEI Zhinong,SUN Guoqiang,et al. Optimal allocation of battery energy storage system in distribution network based on life cycle cost[J]. Power System Technology,2015,39(1):264-270.
[19]肖小清,阚伟民,杨允,等.有蓄能的联供系统超结构优化配置[J].中国电机工程学报,2012,32(32):8-14.XIAO Xiaoqing,KAN Weimin,YANG Yun,et al. Superstructure-based optimal planning of cogeneration systems with storage[J]. Proceedings of the CSEE,2012,32(32):8-14.
[20]薛小代,陈晓弢,梅生伟,等.采用熔融盐蓄热的非补燃压缩空气储能发电系统性能[J].电工技术学报,2016,31(14):11-20.XUE Xiaodai,CHEN Xiaotao,MEI Shengwei,et al. Performance of non-supplementary fired compressed air energy storage with molten salt heat storage[J]. Transactions of China Electrotechnical Society,2016,31(14):11-20.
[21]田崇翼,张承慧,李珂,等.含压缩空气储能的微网复合储能技术及其成本分析[J].电力系统自动化,2015,39(10):36-41.TIAN Chongyi,ZHANG Chenghui,LI Ke,et al. Composite energy storage technology with compressed air energy storage in microgrid and its cost analysis[J]. Automation of Electric Power Systems,2015,39(10):36-41.
[22]张仁元.相变材料与相变储能技术[M].北京:科学出版社,2009:285-293.
[23]杨艳红,裴玮,齐智平.基于动态运行策略的混合能源微网规划方法[J].电力系统自动化,2012,36(19):30-36.YANG Yanhong,PEI Wei,QI Zhiping. Planning method for hybrid energy microgrid based on dynamic operation strategy[J]. Automation of Electric Power Systems,2012,36(19):30-36.
[24]BDI initiative. Internet of energy ICT for energy markets of the future,BDI no. 439[R]. Berlin,Germany:Federation of German Industries,2008.
[25]黄仁乐,蒲天骄,刘克文,等.城市能源互联网功能体系及应用方案设计[J].电力系统自动化,2015,39(9):26-33.HUANG Renle,PU Tianjiao,LIU Kewen,et al. Design of hierarchy and functions of regional energy internet and its demonstration applications[J]. Automation of Electric Power Systems,2015,39(9):26-33.
[26]邱海伟.基于多目标的微电网优化调度研究[D].上海:上海电力学院,2013.QIU Haiwei. Research of microgrid optimal operation based on multi-objective[D]. Shanghai:Shanghai University of Electric Power,2013.
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