冷热电蓄能联供微网系统优化配置的影响因素  

Influential Factors of Optimal Configuration for Combined Cooling Heating and Power Systems

作　　者：汪伟 段绍辉 张兆鹏[2] 刘玮[2] 田艳华[2] 宋春晖[2] 

机构地区：[1]深圳供电局有限公司,深圳518000 [2]天津天大求实电力新技术股份有限公司,天津300384

出　　处：《电力系统及其自动化学报》2013年第4期156-161,共6页Proceedings of the CSU-EPSA

摘　　要：冷热电蓄能联供微网系统具有环保、节能、经济等特点,有着良好的发展前景和应用价值。但存在多方面因素不同程度地影响着系统的优化配置结果。以经济性为优化目标,构建冷热电蓄能联供的微网系统优化模型,运用DER-CAM软件对系统进行优化仿真测算。分析了燃气价格、电价和分布式能源投资三个关键因素对优化配置的影响。通过应用DER-CAM软件的优化仿真测算得出结论,在5%的变动率范围内,电价是最为敏感的因素,当变动率超过5%后,分布式能源投资成为最敏感因素。Combined cooling heating and power （CCHP） system has the characteristics of energy saving and environ- ment protection. In process of optimization for CCHP, many factors will influence the result of the system configuration in different degree. In order to optimize the economy, an optimization model for the CCHP system is constructed, and the simulation calculation for the system is obtained by using the DER-CAM software. Meanwhile three key factors of the gas price, the electricity price and distributed energy investment are analyzed to influence the optimization results. By applying the DER - CAM software to optimize the simulation calculation, the main conclusion is that the most sen- sitive factors is the electricity price in the changing rate of 5%, and the most sensitive factor is distributed energy in- vestment when the changing rate is above 5%.

关 键 词：冷热电蓄能联供 优化配置 影响因素 敏感性分析 

分 类 号：TM73[电气工程—电力系统及自动化]