基于冷热电联产系统能耗数据的模糊建模与优化

摘要

Develops a simulation system of CCHP with TRNSYS,and collects the energy consumption data in the actual operation of a CCHP system.Based on the semi-tensor product method,establishes a fuzzy relation matrix model which can reflect the characteristics of the input and output variables.Optimizes each objective function of the system using the improved particle swarm searching strategy based on the time-of-use (TOU) electricity price.Determines the weight of each objective function by the two-element comparison method.Studies the multi-objective optimization of the CCHP system using the norm weighting method.The research results show that when achieving the optimal general cost as well as local optimal operation cost,environmental cost and configuration cost,the general cost of each typical day can be less than the total cost under the strategy of the optimal environmental cost and configuration cost as well as the overall cost of the production system.%基于TRNSYS构建了冷热电联产系统仿真平台,采集系统实际运行能耗数据,利用基于半张量积的方法对采集数据进行处理,建立了反映输入输出各部分特性的模糊矩阵模型.基于分时电价,应用改进的粒子群搜索策略对系统各项目标函数分别作了单目标优化.基于二元对比确定了各目标函数的权重,利用范数加权的方法,对冷热电联产系统进行了多目标优化的研究.研究结果表明,当总费用最优且运行费用、环境费用及配置费用都达到局部最优时,每一个典型日的总费用均小于环境费用最优、配置费用最优运行策略下的总费用及分产系统的总费用.