热电联产型微网系统在能源供应中的建模与选择
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摘要
对热电联产型微网系统在分布式能源供应中的能量关系进行数学建模,并提出基于建筑层和电力网络层上的2种建模方式。基于能量守恒定律建立电能与热能的能量关系,并确定发电和配电与一次能源的关系,同时为实现减少使用总的一次能源提供理论依据。通过建立经济运行优化结构对电力能源网络层中的3种热电联产系统本身进行分析,并以经济成本、经济数据、技术数据作为约束条件进行分析与讨论,从而为选择系统中发电机组的最佳技术参数作出参考。研究表明,与常规系统相比,选择这种典型的热电联产型微网系统能够在能源供应中实现总一次能源使用明显减少,达到预期目标,并使能源成本降低不少。
Mathematical modeling is built in the combined heat and power micro-grid system for the distributed energy supply system(DESS), and two modeling methods are proposed based on the building layer and the power network layer. Based on the conservation of energy, the energy relationship between electric energy and heat energy is constructed, and the relationship between power generation and distribution and the primary energy is determined, which provide theoretical basis for the decrease of the total primary energy. In addition, analysis on three combined heat and power systems at power energy network layer is made through the establishment of economic operation optimization structure, and the economic costs, economic data and technical data are set as constraint conditions to make analysis and discussion, all of which are in order to choose the most suitable technical parameters for the generator units. The results indicate that compared with the conventional system, the specific combined heat and power micro-grid system could significantly reduce the rational use of the total primary energy in energy supply, which would achieve the expected goal more quickly and reduce the energy costs to the largest extent.
Mathematical modeling is built in the combined heat and power micro-grid system for the distributed energy supply system(DESS), and two modeling methods are proposed based on the building layer and the power network layer. Based on the conservation of energy, the energy relationship between electric energy and heat energy is constructed, and the relationship between power generation and distribution and the primary energy is determined, which provide theoretical basis for the decrease of the total primary energy. In addition, analysis on three combined heat and power systems at power energy network layer is made through the establishment of economic operation optimization structure, and the economic costs, economic data and technical data are set as constraint conditions to make analysis and discussion, all of which are in order to choose the most suitable technical parameters for the generator units. The results indicate that compared with the conventional system, the specific combined heat and power micro-grid system could significantly reduce the rational use of the total primary energy in energy supply, which would achieve the expected goal more quickly and reduce the energy costs to the largest extent.
引文
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[2]张军,李小春,刘清,等.国际能源战略与新能源技术进展[M].北京:科学出版社,2007:103-106.
[3]刘方,杨秀,黄海涛,等.含热电联产热电解耦运行方式下的微网能量综合优化[J].电力系统及其自动化学报,2016,28(1):52-56.LIU Fang,YANG Xiu,HUANG Haitao,et al.Energy comprehensive optimization of micro-grid including CHP with thermoelectric decoupling operation mode[J].Proceedings of the CSU-EPSA,2016,28(1):52-56(in Chinese).
[4]徐俊,欧阳丽,周春.多智能用户微电网的分层分时能量管理[J].电网与清洁能源,2015,31(10):22-25.XU Jun,OUYANG Li,ZHOU Chun.Multi-time scale energy management for microgrid system with smart users[J].Power System and Clean Energy,2015,31(10):22-25(in Chinese).
[5]王广远.智能电网电能供需优化模型与方法研究[D].北京:北京邮电大学,2015.
[6]田世明,栾文鹏,张东霞,等.能源互联网技术形态与关键技术[J].中国电机工程学报,2015,35(14):3482-3491.TIAN Shiming,LUAN Wenpeng,ZHANG Dongxia,et al.Technical forms and key technologies on energy internet[J].Proceedings of the CSEE,2015,35(14):3482-3491(in Chinese).
[7]刘振亚.智能电网技术[M].北京:中国电力出版杜,2010:1-100.
[8]马溪原,吴耀文,方华亮,等.采用改进细菌觅食算法的风/光/储混合微电网电源优化配置[J].中国电机工程学报,2011,31(25):18-24.MA Xiyuan,WU Yaowen,FANG Hualiang,et al.Optimal sizing of hybrid solar-wind distributed generation in an islanded microgrid using improved bacterial foraging algorithm[J].Proceedings of the CSEE,2011,31(25):18-24(in Chinese).
[9]朱建全,李颖,谭伟.基于特性融合的电力负荷建模[J].电网技术,2015,39(5):1359-1363.ZHU Jianquan,LI Ying,TAN Wei.Characteristic fusion based on electric load modeling[J].Power System Technology,2015,39(5):1359-1363(in Chinese).
[10]周任军,冉晓洪,毛发龙,等.分布式冷热电三联供系统节能协调优化调度[J].电网技术,2012,36(6):9-13.ZHOU Renjun,RAN Xiaohong,MAO Falong,et al.Energy-saving coordinated optimal dispatch of distributed combined cool,heat and power supply[J].Power System Technology,2012,36(6):9-13(in Chinese).
[11]王锐,顾伟,吴志.含可再生能源的热电联供型微网经济运行优化[J].电力系统自动化,2011,35(8):22-26.WANG Rui,GU Wei,WU Zhi.Economic and optimal operation of a combined heat and power microgrid with renewable energy resources[J].Automation of Electric Power Systems,2011,35(8):22-26(in Chinese).
[12]PILAVACHI P A,ROUMPEAS C P,MINETT S,et al.Multi-criteria evaluation for CHP system options[J].Energy Conversion and Management,2006,47(20):3519-3529.
[13]周松林,茆美琴,苏建徽.考虑风力发电随机性的微电网潮流预测[J].中国电机工程学报,2013,33(22):27-33.ZHOU Songlin,MAO Meiqin,SU Jianhui.Power flow forecasting of micro-grid considering randomness of wind power[J].Proceedings of the CSEE,2013,33(22):27-33(in Chinese).
[14]王亚荣.风力发电与机组系统[M].北京:化学工业出版社,2014:21-43.
[15]BAE S,KWASINSKI A.Dynamic modeling and operation strategy for a microgrid with wind and photovoltaic resources[J].IEEE Transactions on Smart Grid,2012,3(4):1867-1876.