区域综合能源系统规划研究综述
|
摘要
区域综合能源系统作为能源互联网的重要物理载体,对提高综合能源利用效率、消纳可再生能源、保障供能安全可靠及节能减排具有重要意义。对区域综合能源系统进行合理有效规划,要打破行业壁垒,从技术、政策、地域等多方面实现突破。文中对区域综合能源系统规划中的多能耦合理论、负荷预测方法、技术经济性分析、规划优化建模与求解等关键问题进行了系统地总结归纳,对各问题所涉及的国内外研究现状、存在问题及难点进行了分析与概括。结合目前最新研究进展,概括了全面涵盖区域综合能源系统源、网、荷、储等环节的通用性能流模型、规划模型及求解流程,并对未来的研究方向进行了展望。
As the physical carrier of Energy Internet, regional integrated energy system(RIES) has become an important role for improving comprehensive energy utilization efficiency, renewable energy consumption, energy supply reliability, energy saving and emission reduction. The planning of RIES encounters many challenges, such as industry boundaries, policies, regional differences and techniques. In this paper, the key problems of RIES planning are discussed including multi-energy coupling, load forecasting, technical economy and optimization modelling. The domestic and foreign relative researches are summarized systematically. Based on the latest research progress, a universal energy flow model, planning model and solution process covering the source, network, load and storage of district integrated energy system are summarized, and the future research directions are prospected.
As the physical carrier of Energy Internet, regional integrated energy system(RIES) has become an important role for improving comprehensive energy utilization efficiency, renewable energy consumption, energy supply reliability, energy saving and emission reduction. The planning of RIES encounters many challenges, such as industry boundaries, policies, regional differences and techniques. In this paper, the key problems of RIES planning are discussed including multi-energy coupling, load forecasting, technical economy and optimization modelling. The domestic and foreign relative researches are summarized systematically. Based on the latest research progress, a universal energy flow model, planning model and solution process covering the source, network, load and storage of district integrated energy system are summarized, and the future research directions are prospected.
引文
[1] RIFKIN J. The third industrial revolution[J]. International Study Reference, 2008, 3(7): 26-27.
[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,2015,4(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, 4(7): 198-207.
[3] 国务院关于积极推进“互联网+”行动的指导意见[EB/OL].[2018-04-01].http://www.gov.cn/zhengce/content/2015-07/04/content_10002.htm.State Council’s guiding opinions on actively promoting the “Internet+” action [EB/OL]. [2018-04-01]. http://www.gov.cn/zhengce/content/2015-07/04/content_10002.htm.
[4] 吴建中.欧洲综合能源系统发展的驱动与现状[J].电力系统自动化,2016,40(5):1-7. WU Jianzhong. Drivers and state-of-the-art of integrated energy systems in Europe[J]. Automation of Electric Power Systems, 2016, 40(5): 1-7.
[5] GEIDL M, ANDERSSON G. Optimal power flow of multiple energy carriers[J]. IEEE Transactions on Power Systems, 2007, 22(1): 145-155.
[6] Energy independence and security ACT of 2007 [EB/OL]. [2014-10-09]. http://www.ferc.gov/eventcalendar/files/20050608125055-grid-2030.pdf.
[7] Combining our energies-integrated energy systems for Canadian communities [EB/OL]. [2014-10-09]. http://publications.gc.ca/collections/collection_2009/parl/xc49-402-1-1-01e.pdf.
[8] 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 steady-state analysis of typical integrated energy system under the background of energy internet[J]. Proceedings of the CSEE, 2016, 36(12): 3292-3305.
[9] MA W, FANG S, LIU G, et al. Modeling of district load forecasting for distributed energy system[J]. Applied Energy, 2017, 20(4): 181-205.
[10] 艾芊,郝然.多能互补、集成优化能源系统关键技术及挑战[J].电力系统自动化,2018,42(4):2-10.DOI:10.7500/AEPS20170927008.AI Qian, HAO Ran. Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J]. Automation of Electric Power Systems, 2018, 42(4): 2-10. DOI: 10.7500/AEPS20170927008.
[11] GEIDL M. Integrated modeling and optimization of multi-carrier energy systems[D]. Switzerland: Swiss Federal Institute of Technology Zurich, 2007.
[12] RASTEGAR M, FOTUHI M, LEHTONEN M. Home load management in a residential energy hub[J]. Electric Power Systems Research, 2015, 119(119): 322-328.
[13] KOIRALA B P, AVILA J P C, GóMEZ T, et al. Local alternative for energy supply: performance assessment of integrated community energy systems[J]. Energies, 2016, 9(12): 981.
[14] WANG Yue, HOU Kai, JIA Hongjie, et al. Decoupled optimization of integrated energy system considering CHP plant based on energy hub model[J]. Energy Procedia, 2017, 142: 2683-2688.
[15] 王珺,顾伟,陆帅,等.结合热网模型的多区域综合能源系统协同规划[J].电力系统自动化,2016,40(15):17-24.WANG Jun, GU Wei, LU Shuai, et al. Coordinated planning of multi-district integrated energy system combining heating network model[J]. Automation of Electric Power systems, 2016, 40(15): 17-24.
[16] 杨承,黄志峰.联合循环热电联产机组变工况性能分析[J].中国电机工程学报,2017,37(12):3514-3524.YANG Cheng, HUANG Zhifeng. Study on off-design characteristics of combined heat and power based on combined cycle gas turbine units[J]. Proceedings of the CSEE, 2017, 37(12): 3514-3524.
[17] 杨经纬,张宁,王毅,等.面向可再生能源消纳的多能源系统:述评与展望[J].电力系统自动化,2018,42(4):11-24.DOI:10.7500/AEPS20171002004.YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multi-energy system towards renewable energy accommodation: review and prospect[J]. Automation of Electric Power Systems, 2018, 42(4): 11-24. DOI: 10.7500/AEPS20171002004.
[18] ZHANG N, CAI R. Analytical solutions and typical characteristics of part-load performances of single shaft gas turbine and its cogeneration[J]. Energy Conversion & Management, 2002, 43(9-12): 1323-1337.
[19] 蔡斌,钟崴.锅炉变工况热力计算分析系统的应用[J].内蒙古电力技术,2011,29(5):72-75.CAI Bin, ZHONG Wai. Application of boiler maneuvering condition heat calculation analysis system[J]. Inner Mongolia Electric Power, 2011, 29(5): 72-75.
[20] 蔡睿贤,胡自勤.余热锅炉变工况计算[J].工程热物理学报,1990,11(1):17-20.CAI Ruixian, HU Ziqin. Off-design performance calculation of heat recovery system generators[J]. Journal of engineering thermophysics, 1990, 11(1): 17-20.
[21] FU X, SUN H, GUO Q, et al. Uncertainty analysis of an integrated energy system based on information theory[J]. Energy, 2017, 122: 649-662.
[22] LIU X, JENKINS N, WU J, et al. Combined analysis of electricity and heat networks [J]. Energy Procedia, 2014, 8(61): 155-159.
[23] PAN Z, GUO Q, SUN H. Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow[J]. Applied Energy, 2016, 167: 230-243.
[24] WEI Z, CHEN S, SUN G, et al. Probabilistic available transfer capability calculation considering static security constraints and uncertainties of electricity-gas integrated energy systems[J]. Applied Energy, 2016, 167(5): 305-316.
[25] PAZOUKI S, HAGHIFAM M R. Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response[J]. International Journal of Electrical Power & Energy Systems, 2014, 61: 335-345.
[26] HUANG A Q, CROW M L, HEYDT G T, et al. The future renewable electric energy delivery and management (FREEDM) system: the Energy Internet[J]. Proceedings of the IEEE, 2010, 99(1): 133-148.
[27] 吴聪,唐巍,白牧可,等.基于能源路由器的用户侧能源互联网规划[J].电力系统自动化,2017,41(4):20-28.DOI:10.7500/AEPS20160802010.WU Cong, TANG Wei, BAI Muke, et al. Energy router based planning of Energy Internet at user side[J]. Automation of Electric Power Systems, 2017, 41(4): 20-28. DOI: 10.7500/AEPS20160802010.
[28] LIBRARY W E. American society of heating, refrigerating and air-conditioning engineers[J]. International Journal of Refrigeration, 2012, 2(3): 56-57.
[29] ANTONAIA A, ASCIONE F, CASTALDO A, et al. Cool materials for reducing summer energy consumptions in Mediterranean climate: in-lab experiments and numerical analysis of a new coating based on acrylic paint[J]. Applied Thermal Engineering, 2016, 102: 91-107.
[30] ANDERSEN J S, SATTRUP P A. The urban canyon and building energy use: urban density versus daylight and passive solar gains[J]. Energy & Buildings, 2011, 43(8): 2011-2020.
[31] MA J, CHENG J C P. Identifying the influential features on the regional energy use intensity of residential buildings based on random forests[J]. Applied Energy, 2016, 183: 193-201.
[32] SWAN L G, UGURSAL V I. Modeling of end-use energy consumption in the residential sector: a review of modeling techniques[J]. Renewable & Sustainable Energy Reviews, 2009, 13(8): 1819-1835.
[33] BIANCO V, MANCA O, NARDINI S. Electricity consumption forecasting in Italy using linear regression models[J]. Energy, 2009, 34(9): 1413-1421.
[34] UIHLEIN A, EDER P, EDER P. Policy options towards an energy efficient residential building stock in the EU-27[J]. Energy & Buildings, 2010, 42(6): 791-798.
[35] APADULA F, BASSINI A, ELLI A, et al. Relationships between meteorological variables and monthly electricity demand[J]. Applied Energy, 2012, 98(5): 346-356.
[36] LIN B, LIU H. China’s building energy efficiency and urbanization[J]. Energy & Buildings, 2015, 86(1): 356-365.
[37] PEDERSEN L, STANG J, ULSETH R. Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems[J]. Energy & Buildings, 2008, 40(7): 1124-1134.
[38] 江梦洋.基于相关向量机的电力系统月度负荷预测[D].上海:上海交通大学,2016.JIANG Mengyang. Research on power system load forecasting based on relevance vector machine[D]. Shanghai: Shanghai Jiao Tong University, 2016.
[39] SWAN L, UGURSAL V I. Implementation of a Canadian residential energy end-use model for assessing new technology impacts[C]// Eleventh International IBPSA Conference, July 27-30, 2009, Glasgow, Scotland: 1429-1436.
[40] YU Z, HAGHIGHAT F, FUNG B C M, et al. A decision tree method for building energy demand modeling[J]. Energy & Buildings, 2010, 42(10): 1637-1646.
[41] 史佳琪,谭涛,郭经,等.基于深度结构多任务学习的园区型综合能源系统多元负荷预测[J].电网技术,2018,42(3):699-706.SHI Jiaqi, TAN Tao, GUO Jing, et al. Multi-task learning based on deep architecture for various types of load forecasting in regional energy system integration[J]. Power System Technology, 2018, 42(3): 699-706.
[42] HENRY S,张芳.工程经济学原理[M].北京:经济科学出版社,2000.HENRY S, ZHANG Fang. Principles of engineering economy[M]. Beijing: Economic Science Press, 2000.
[43] 葛莉瑶.热电联产系统性能评价及案例分析[D].北京:华北电力大学,2005.GE Liyao. Thermal performance evaluation and case analysis of the combined heat and power system[D]. Beijing:North China Electric Power University, 2005.
[44] 徐聪,刘泰秀,隋军,等.多能源热互补分布式能源系统的节能率评价方法[J].电力系统自动化,2018,42(4):151-157.DOI:10.7500/AEPS20170927006.XU Cong, LIU Taixiu, SUI Jun, et al. Evaluation method for energy saving ratio of distributed energy system with multi-energy thermal complementarity[J]. Automation of Electric Power Systems, 2018, 42(4): 151-157. DOI: 10.7500/AEPS20170927006.
[45] 江亿,刘晓华,薛志峰,等.能源转换系统评价指标的研究[J].中国能源,2004,26(3):27-31.JIANG Yi, LIU Xiaohua, XUE Zhifeng, et al. Study of energy converter system evaluating index[J]. China Energy, 2004, 26(3): 27-31.
[46] 何丽.热电联产系统技术经济性分析[D].北京:华北电力大学,2004.HE Li. Technical economic analysis of cogeneration system[D]. Beijing: North China Electric Power University, 2004.
[47] 白莉,张晓航,褚家瑞.东北地区县域秸秆热电联产技术经济性分析[J].吉林建筑大学学报,2011,28(5):47-49.BAI Li, ZHANG Xiaohang, CHU Jiarui. The technical economical analysis on the cogeneration by straw in the northeast area country[J]. Journal of Jilin Institute of Architecture & Civil Engineering, 2011, 28(5): 47-49.
[48] 罗勇,尤占平,胡定科.楼宇级冷热电联产的技术经济分析[J].暖通空调,2005,35(7):47-49.LUO Yong, YOU Zhanping, HU Dingke. Technical and economic analysis of building cooling heating and power[J]. Heating, Ventilation & Air Conditioning, 2005, 35(7): 47-49.
[49] 王承斌.燃气轮机热电协调优化模型及经济性分析[D].杭州:浙江大学,2017.WANG Chengbin. Thermoelectric coordination optimization model of gas turbine and economic analysis[D]. Hangzhou: Zhejiang University, 2017.
[50] 刘明义,于波,徐景明.固体氧化物电解水制氢系统效率[J].清华大学学报:自然科学版,2009,49(6):868-871.LIU Mingyi, YU Bo, XU Jingming. Efficiency of solid oxide water electrolysis system for hydrogen production[J]. Journal of Tsinghua University(Science and Technology), 2009, 49(6): 868-871.
[51] MUELLER-LANGER F, TZIMAS E, KALTSCHMITT M, et al. Techno-economic assessment of hydrogen production processes for the hydrogen economy for the short and medium term[J]. International Journal of Hydrogen Energy, 2007, 32(16): 3797-3810.
[52] 时璟丽,高虎,王红芳.风电制氢经济性分析[J].可再生能源,2015,37(2):11-14.SHI Jingli, GAO Hu, WANG Hongfang. Economic analysis of P2G by wind power[J]. Renewable energy, 2015, 37(2): 11-14.
[53] 邵成成,王锡凡,王秀丽,等.多能源系统分析规划初探[J].中国电机工程学报,2016,36(14):3817-3828.SHAO Chengcheng, WANG Xifan, WANG Xiuli, et al. Probe into analysis and planning of multi-energy systems[J]. Proceedings of the CSEE, 2016, 36(14): 3817-3828.
[54] GEIDL M, ANDERSSON G. A modeling and optimization approach for multiple energy carrier power flow[C]// 2005 IEEE Russia Power Tech, June 27-30, 2005, St. Petersburg, Russia: 1-7.
[55] 周游,李嘉.多热源环状热网水力计算研究[J].煤气与热力,2011,31(7):19-22.ZHOU You, LI Jia. Research on hydraulic calculation of loop heating network with multiple heat sources[J]. Gas & Heat, 2011, 31(7): 19-22.
[56] 安青松.基于燃气轮机的冷热电三联供系统优化模拟[D].天津:天津大学,2004.AN Qingsong. Optimization of combined cooling, heating and power system simulation based on gas turbines[D]. Tianjin: Tianjin University, 2004.
[57] WANG Jiangjiang, JING Youyin, ZHANG Chunfa, et al. Performance comparison of combined cooling heating and power system in different operation modes[J]. Applied Energy, 2011, 88(12): 4621-4631.
[58] YANG Y, ZHANG S, XIAO Y. Optimal design of distributed energy resource systems based on two-stage stochastic programming[J]. Applied Thermal Engineering, 2017, 110: 1358-1370.
[59] GUO L. A two-stage optimal planning and design method for combined cooling, heat and power microgrid system[J]. Energy Conversion & Management, 2013, 74(10): 433-445.
[60] 蒋润花,曾蓉,李洪强,等.考虑气候条件及建筑类型等因素的分布式冷热电三联产系统的多目标优化及评估[J].中国电机工程学报,2016,36(12):3206-3213.JIANG Runhua, ZENG Rong, LI Hongqiang, et al. Multi-objective optimization and evaluation of distributed CCHP system considering influence of climate condition and building type[J]. Proceedings of CSEE, 2016, 36(12): 3206-3213.
[61] ZHANG X J, KARADY G G, ARIARATNAM S T. Optimal allocation of CHP-based distributed generation on urban energy distribution networks[J]. IEEE Transactions on Sustainable Energy, 2013, 5(1): 246-253.
[62] 管霖,陈鹏,唐宗顺,等.考虑冷热电存储的区域综合能源站优化设计方法[J].电网技术,2016,40(10):2934-2941.GUAN Lin, CHEN Peng, TANG Zongshun, et al. Integrated energy station design considering cold and heat storage[J]. Power System Technology, 2016, 40(10): 2934-2941.
[63] HU Xiao. CHENG Haozhong, TANG Senkai, et al. Integrated modeling and planning of district multi-carrier energy systems[C]// IEEE Conference on Energy Internet and Energy System Integration, November 26-28, 2017, Beijing, China: 1-6.
[64] 李更丰,别朝红,王睿豪,等.综合能源系统可靠性评估的研究现状及展望[J].高电压技术,2017,43(1):114-121.LI Gengfeng, BIE Zhaohong, WANG Ruihao, et al. Research status and prospects on reliability evaluation of integrated energy system[J]. High Voltage Engineering, 2017, 43(1): 114-121.
[65] 葛少云,李吉峰,刘洪,等.考虑多能耦合及品位差异的含储能微网可靠性评估[J].电力系统自动化,2018,42(4):165-173.DOI:10.7500/AEPS20170903002.GE Shaoyun, LI Jifeng, LIU Hong, et al. Reliability evaluation of microgrid containing energy storage system considering multi-energy coupling and grade difference[J]. Automation of Electric Power Systems, 2018, 42(4): 165-173. DOI: 10.7500/AEPS20170903002.
[66] LI G, KOU Y, JIANG J, et al. Researches on the reliability evaluation of integrated energy system based on Energy Hub[C]// 2016 China International Conference on Electricity Distribution (CICED), August 10-13, 2016, Xi’an, China: 69.
[67] QIU J, DONG Z Y, ZHAO J H, et al. Low carbon oriented expansion planning of integrated gas and power systems[J]. IEEE Transactions on Power Systems, 2015, 30(2): 1035-1046.
[68] ZHENG Y, DONG Z Y, LUO F J, et al. Optimal allocation of energy storage system for risk mitigation of DISCOs with high renewable penetrations[J]. IEEE Transactions on Power Systems, 2014, 29(1): 212-220.
[69] WANG Huaizhi, ZHANG Rongquan, PENG Jianchun, et al. GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system[J]. Energy Conversion & Management, 2017, 151: 524-537.
[70] HAMDY M,PALONEN M, HASAN A. Implementation of pareto-archive NSGA-II algorithms to a nearly-zero-energy building optimization problem[C]// First Building Simulation and Optimization Conference, September 10-11, 2012, Loughborough, UK: 181-188.
[71] LI G, ZHANG R, JIANG T, et al. Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process[J]. Applied Energy, 2017, 194: 696-704.
[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,2015,4(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, 4(7): 198-207.
[3] 国务院关于积极推进“互联网+”行动的指导意见[EB/OL].[2018-04-01].http://www.gov.cn/zhengce/content/2015-07/04/content_10002.htm.State Council’s guiding opinions on actively promoting the “Internet+” action [EB/OL]. [2018-04-01]. http://www.gov.cn/zhengce/content/2015-07/04/content_10002.htm.
[4] 吴建中.欧洲综合能源系统发展的驱动与现状[J].电力系统自动化,2016,40(5):1-7. WU Jianzhong. Drivers and state-of-the-art of integrated energy systems in Europe[J]. Automation of Electric Power Systems, 2016, 40(5): 1-7.
[5] GEIDL M, ANDERSSON G. Optimal power flow of multiple energy carriers[J]. IEEE Transactions on Power Systems, 2007, 22(1): 145-155.
[6] Energy independence and security ACT of 2007 [EB/OL]. [2014-10-09]. http://www.ferc.gov/eventcalendar/files/20050608125055-grid-2030.pdf.
[7] Combining our energies-integrated energy systems for Canadian communities [EB/OL]. [2014-10-09]. http://publications.gc.ca/collections/collection_2009/parl/xc49-402-1-1-01e.pdf.
[8] 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 steady-state analysis of typical integrated energy system under the background of energy internet[J]. Proceedings of the CSEE, 2016, 36(12): 3292-3305.
[9] MA W, FANG S, LIU G, et al. Modeling of district load forecasting for distributed energy system[J]. Applied Energy, 2017, 20(4): 181-205.
[10] 艾芊,郝然.多能互补、集成优化能源系统关键技术及挑战[J].电力系统自动化,2018,42(4):2-10.DOI:10.7500/AEPS20170927008.AI Qian, HAO Ran. Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J]. Automation of Electric Power Systems, 2018, 42(4): 2-10. DOI: 10.7500/AEPS20170927008.
[11] GEIDL M. Integrated modeling and optimization of multi-carrier energy systems[D]. Switzerland: Swiss Federal Institute of Technology Zurich, 2007.
[12] RASTEGAR M, FOTUHI M, LEHTONEN M. Home load management in a residential energy hub[J]. Electric Power Systems Research, 2015, 119(119): 322-328.
[13] KOIRALA B P, AVILA J P C, GóMEZ T, et al. Local alternative for energy supply: performance assessment of integrated community energy systems[J]. Energies, 2016, 9(12): 981.
[14] WANG Yue, HOU Kai, JIA Hongjie, et al. Decoupled optimization of integrated energy system considering CHP plant based on energy hub model[J]. Energy Procedia, 2017, 142: 2683-2688.
[15] 王珺,顾伟,陆帅,等.结合热网模型的多区域综合能源系统协同规划[J].电力系统自动化,2016,40(15):17-24.WANG Jun, GU Wei, LU Shuai, et al. Coordinated planning of multi-district integrated energy system combining heating network model[J]. Automation of Electric Power systems, 2016, 40(15): 17-24.
[16] 杨承,黄志峰.联合循环热电联产机组变工况性能分析[J].中国电机工程学报,2017,37(12):3514-3524.YANG Cheng, HUANG Zhifeng. Study on off-design characteristics of combined heat and power based on combined cycle gas turbine units[J]. Proceedings of the CSEE, 2017, 37(12): 3514-3524.
[17] 杨经纬,张宁,王毅,等.面向可再生能源消纳的多能源系统:述评与展望[J].电力系统自动化,2018,42(4):11-24.DOI:10.7500/AEPS20171002004.YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multi-energy system towards renewable energy accommodation: review and prospect[J]. Automation of Electric Power Systems, 2018, 42(4): 11-24. DOI: 10.7500/AEPS20171002004.
[18] ZHANG N, CAI R. Analytical solutions and typical characteristics of part-load performances of single shaft gas turbine and its cogeneration[J]. Energy Conversion & Management, 2002, 43(9-12): 1323-1337.
[19] 蔡斌,钟崴.锅炉变工况热力计算分析系统的应用[J].内蒙古电力技术,2011,29(5):72-75.CAI Bin, ZHONG Wai. Application of boiler maneuvering condition heat calculation analysis system[J]. Inner Mongolia Electric Power, 2011, 29(5): 72-75.
[20] 蔡睿贤,胡自勤.余热锅炉变工况计算[J].工程热物理学报,1990,11(1):17-20.CAI Ruixian, HU Ziqin. Off-design performance calculation of heat recovery system generators[J]. Journal of engineering thermophysics, 1990, 11(1): 17-20.
[21] FU X, SUN H, GUO Q, et al. Uncertainty analysis of an integrated energy system based on information theory[J]. Energy, 2017, 122: 649-662.
[22] LIU X, JENKINS N, WU J, et al. Combined analysis of electricity and heat networks [J]. Energy Procedia, 2014, 8(61): 155-159.
[23] PAN Z, GUO Q, SUN H. Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow[J]. Applied Energy, 2016, 167: 230-243.
[24] WEI Z, CHEN S, SUN G, et al. Probabilistic available transfer capability calculation considering static security constraints and uncertainties of electricity-gas integrated energy systems[J]. Applied Energy, 2016, 167(5): 305-316.
[25] PAZOUKI S, HAGHIFAM M R. Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response[J]. International Journal of Electrical Power & Energy Systems, 2014, 61: 335-345.
[26] HUANG A Q, CROW M L, HEYDT G T, et al. The future renewable electric energy delivery and management (FREEDM) system: the Energy Internet[J]. Proceedings of the IEEE, 2010, 99(1): 133-148.
[27] 吴聪,唐巍,白牧可,等.基于能源路由器的用户侧能源互联网规划[J].电力系统自动化,2017,41(4):20-28.DOI:10.7500/AEPS20160802010.WU Cong, TANG Wei, BAI Muke, et al. Energy router based planning of Energy Internet at user side[J]. Automation of Electric Power Systems, 2017, 41(4): 20-28. DOI: 10.7500/AEPS20160802010.
[28] LIBRARY W E. American society of heating, refrigerating and air-conditioning engineers[J]. International Journal of Refrigeration, 2012, 2(3): 56-57.
[29] ANTONAIA A, ASCIONE F, CASTALDO A, et al. Cool materials for reducing summer energy consumptions in Mediterranean climate: in-lab experiments and numerical analysis of a new coating based on acrylic paint[J]. Applied Thermal Engineering, 2016, 102: 91-107.
[30] ANDERSEN J S, SATTRUP P A. The urban canyon and building energy use: urban density versus daylight and passive solar gains[J]. Energy & Buildings, 2011, 43(8): 2011-2020.
[31] MA J, CHENG J C P. Identifying the influential features on the regional energy use intensity of residential buildings based on random forests[J]. Applied Energy, 2016, 183: 193-201.
[32] SWAN L G, UGURSAL V I. Modeling of end-use energy consumption in the residential sector: a review of modeling techniques[J]. Renewable & Sustainable Energy Reviews, 2009, 13(8): 1819-1835.
[33] BIANCO V, MANCA O, NARDINI S. Electricity consumption forecasting in Italy using linear regression models[J]. Energy, 2009, 34(9): 1413-1421.
[34] UIHLEIN A, EDER P, EDER P. Policy options towards an energy efficient residential building stock in the EU-27[J]. Energy & Buildings, 2010, 42(6): 791-798.
[35] APADULA F, BASSINI A, ELLI A, et al. Relationships between meteorological variables and monthly electricity demand[J]. Applied Energy, 2012, 98(5): 346-356.
[36] LIN B, LIU H. China’s building energy efficiency and urbanization[J]. Energy & Buildings, 2015, 86(1): 356-365.
[37] PEDERSEN L, STANG J, ULSETH R. Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems[J]. Energy & Buildings, 2008, 40(7): 1124-1134.
[38] 江梦洋.基于相关向量机的电力系统月度负荷预测[D].上海:上海交通大学,2016.JIANG Mengyang. Research on power system load forecasting based on relevance vector machine[D]. Shanghai: Shanghai Jiao Tong University, 2016.
[39] SWAN L, UGURSAL V I. Implementation of a Canadian residential energy end-use model for assessing new technology impacts[C]// Eleventh International IBPSA Conference, July 27-30, 2009, Glasgow, Scotland: 1429-1436.
[40] YU Z, HAGHIGHAT F, FUNG B C M, et al. A decision tree method for building energy demand modeling[J]. Energy & Buildings, 2010, 42(10): 1637-1646.
[41] 史佳琪,谭涛,郭经,等.基于深度结构多任务学习的园区型综合能源系统多元负荷预测[J].电网技术,2018,42(3):699-706.SHI Jiaqi, TAN Tao, GUO Jing, et al. Multi-task learning based on deep architecture for various types of load forecasting in regional energy system integration[J]. Power System Technology, 2018, 42(3): 699-706.
[42] HENRY S,张芳.工程经济学原理[M].北京:经济科学出版社,2000.HENRY S, ZHANG Fang. Principles of engineering economy[M]. Beijing: Economic Science Press, 2000.
[43] 葛莉瑶.热电联产系统性能评价及案例分析[D].北京:华北电力大学,2005.GE Liyao. Thermal performance evaluation and case analysis of the combined heat and power system[D]. Beijing:North China Electric Power University, 2005.
[44] 徐聪,刘泰秀,隋军,等.多能源热互补分布式能源系统的节能率评价方法[J].电力系统自动化,2018,42(4):151-157.DOI:10.7500/AEPS20170927006.XU Cong, LIU Taixiu, SUI Jun, et al. Evaluation method for energy saving ratio of distributed energy system with multi-energy thermal complementarity[J]. Automation of Electric Power Systems, 2018, 42(4): 151-157. DOI: 10.7500/AEPS20170927006.
[45] 江亿,刘晓华,薛志峰,等.能源转换系统评价指标的研究[J].中国能源,2004,26(3):27-31.JIANG Yi, LIU Xiaohua, XUE Zhifeng, et al. Study of energy converter system evaluating index[J]. China Energy, 2004, 26(3): 27-31.
[46] 何丽.热电联产系统技术经济性分析[D].北京:华北电力大学,2004.HE Li. Technical economic analysis of cogeneration system[D]. Beijing: North China Electric Power University, 2004.
[47] 白莉,张晓航,褚家瑞.东北地区县域秸秆热电联产技术经济性分析[J].吉林建筑大学学报,2011,28(5):47-49.BAI Li, ZHANG Xiaohang, CHU Jiarui. The technical economical analysis on the cogeneration by straw in the northeast area country[J]. Journal of Jilin Institute of Architecture & Civil Engineering, 2011, 28(5): 47-49.
[48] 罗勇,尤占平,胡定科.楼宇级冷热电联产的技术经济分析[J].暖通空调,2005,35(7):47-49.LUO Yong, YOU Zhanping, HU Dingke. Technical and economic analysis of building cooling heating and power[J]. Heating, Ventilation & Air Conditioning, 2005, 35(7): 47-49.
[49] 王承斌.燃气轮机热电协调优化模型及经济性分析[D].杭州:浙江大学,2017.WANG Chengbin. Thermoelectric coordination optimization model of gas turbine and economic analysis[D]. Hangzhou: Zhejiang University, 2017.
[50] 刘明义,于波,徐景明.固体氧化物电解水制氢系统效率[J].清华大学学报:自然科学版,2009,49(6):868-871.LIU Mingyi, YU Bo, XU Jingming. Efficiency of solid oxide water electrolysis system for hydrogen production[J]. Journal of Tsinghua University(Science and Technology), 2009, 49(6): 868-871.
[51] MUELLER-LANGER F, TZIMAS E, KALTSCHMITT M, et al. Techno-economic assessment of hydrogen production processes for the hydrogen economy for the short and medium term[J]. International Journal of Hydrogen Energy, 2007, 32(16): 3797-3810.
[52] 时璟丽,高虎,王红芳.风电制氢经济性分析[J].可再生能源,2015,37(2):11-14.SHI Jingli, GAO Hu, WANG Hongfang. Economic analysis of P2G by wind power[J]. Renewable energy, 2015, 37(2): 11-14.
[53] 邵成成,王锡凡,王秀丽,等.多能源系统分析规划初探[J].中国电机工程学报,2016,36(14):3817-3828.SHAO Chengcheng, WANG Xifan, WANG Xiuli, et al. Probe into analysis and planning of multi-energy systems[J]. Proceedings of the CSEE, 2016, 36(14): 3817-3828.
[54] GEIDL M, ANDERSSON G. A modeling and optimization approach for multiple energy carrier power flow[C]// 2005 IEEE Russia Power Tech, June 27-30, 2005, St. Petersburg, Russia: 1-7.
[55] 周游,李嘉.多热源环状热网水力计算研究[J].煤气与热力,2011,31(7):19-22.ZHOU You, LI Jia. Research on hydraulic calculation of loop heating network with multiple heat sources[J]. Gas & Heat, 2011, 31(7): 19-22.
[56] 安青松.基于燃气轮机的冷热电三联供系统优化模拟[D].天津:天津大学,2004.AN Qingsong. Optimization of combined cooling, heating and power system simulation based on gas turbines[D]. Tianjin: Tianjin University, 2004.
[57] WANG Jiangjiang, JING Youyin, ZHANG Chunfa, et al. Performance comparison of combined cooling heating and power system in different operation modes[J]. Applied Energy, 2011, 88(12): 4621-4631.
[58] YANG Y, ZHANG S, XIAO Y. Optimal design of distributed energy resource systems based on two-stage stochastic programming[J]. Applied Thermal Engineering, 2017, 110: 1358-1370.
[59] GUO L. A two-stage optimal planning and design method for combined cooling, heat and power microgrid system[J]. Energy Conversion & Management, 2013, 74(10): 433-445.
[60] 蒋润花,曾蓉,李洪强,等.考虑气候条件及建筑类型等因素的分布式冷热电三联产系统的多目标优化及评估[J].中国电机工程学报,2016,36(12):3206-3213.JIANG Runhua, ZENG Rong, LI Hongqiang, et al. Multi-objective optimization and evaluation of distributed CCHP system considering influence of climate condition and building type[J]. Proceedings of CSEE, 2016, 36(12): 3206-3213.
[61] ZHANG X J, KARADY G G, ARIARATNAM S T. Optimal allocation of CHP-based distributed generation on urban energy distribution networks[J]. IEEE Transactions on Sustainable Energy, 2013, 5(1): 246-253.
[62] 管霖,陈鹏,唐宗顺,等.考虑冷热电存储的区域综合能源站优化设计方法[J].电网技术,2016,40(10):2934-2941.GUAN Lin, CHEN Peng, TANG Zongshun, et al. Integrated energy station design considering cold and heat storage[J]. Power System Technology, 2016, 40(10): 2934-2941.
[63] HU Xiao. CHENG Haozhong, TANG Senkai, et al. Integrated modeling and planning of district multi-carrier energy systems[C]// IEEE Conference on Energy Internet and Energy System Integration, November 26-28, 2017, Beijing, China: 1-6.
[64] 李更丰,别朝红,王睿豪,等.综合能源系统可靠性评估的研究现状及展望[J].高电压技术,2017,43(1):114-121.LI Gengfeng, BIE Zhaohong, WANG Ruihao, et al. Research status and prospects on reliability evaluation of integrated energy system[J]. High Voltage Engineering, 2017, 43(1): 114-121.
[65] 葛少云,李吉峰,刘洪,等.考虑多能耦合及品位差异的含储能微网可靠性评估[J].电力系统自动化,2018,42(4):165-173.DOI:10.7500/AEPS20170903002.GE Shaoyun, LI Jifeng, LIU Hong, et al. Reliability evaluation of microgrid containing energy storage system considering multi-energy coupling and grade difference[J]. Automation of Electric Power Systems, 2018, 42(4): 165-173. DOI: 10.7500/AEPS20170903002.
[66] LI G, KOU Y, JIANG J, et al. Researches on the reliability evaluation of integrated energy system based on Energy Hub[C]// 2016 China International Conference on Electricity Distribution (CICED), August 10-13, 2016, Xi’an, China: 69.
[67] QIU J, DONG Z Y, ZHAO J H, et al. Low carbon oriented expansion planning of integrated gas and power systems[J]. IEEE Transactions on Power Systems, 2015, 30(2): 1035-1046.
[68] ZHENG Y, DONG Z Y, LUO F J, et al. Optimal allocation of energy storage system for risk mitigation of DISCOs with high renewable penetrations[J]. IEEE Transactions on Power Systems, 2014, 29(1): 212-220.
[69] WANG Huaizhi, ZHANG Rongquan, PENG Jianchun, et al. GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system[J]. Energy Conversion & Management, 2017, 151: 524-537.
[70] HAMDY M,PALONEN M, HASAN A. Implementation of pareto-archive NSGA-II algorithms to a nearly-zero-energy building optimization problem[C]// First Building Simulation and Optimization Conference, September 10-11, 2012, Loughborough, UK: 181-188.
[71] LI G, ZHANG R, JIANG T, et al. Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process[J]. Applied Energy, 2017, 194: 696-704.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |