基于熵权-TOPSIS的多能互补联供系统优化配置研究

Study of optimal allocation of multi-energy complementary cogeneration system based on entropy weight-TOPSIS

基于农村居民用能需求,研究生物质能、太阳能及空气能互补的分布式供能系统的最优容量配置.选取环境、能耗与经济三方面评价指标最大值为多目标优化函数,内燃机、厌氧发酵罐、光伏系统和空气源热泵的容量为决策变量,采用改进的多目标遗传算法(NSGA-Ⅱ),利用熵权-优劣解距离(TOPSIS)法求解系统最佳容量配置.多目标优化结果表明,随着种群数和繁衍次数的增多,结果越具有优势;当环境、热力和经济权重取值相同时,最优配置方案下系统的综合性能指标由优化前48.4%增至优化后53.0%,二氧化碳减排率由103.25%增至108.43%,一次能源节约率由12.74%增至32.79%,费用年值节省率由29.34%减至17.89%.

Based on the energy demand of rural residents,the optimal capacity allocation of biomass,solar and air energy complementary distributed energy supply system was studied.The maximum evaluation indexes of environment,energy consumption and economy were selected as the multi-objective optimization functions,and the capacity of internal combustion engine,anaerobic fermentation tank,photovoltaic system and air-source heat pump were chosen as the decision variables.Using the NSGA-Ⅱalgorithm,the optimal capacity allocation was solved combined with the entropy weight-TOPSIS.The results show that the more population and generation times,the better the optimized results.Under the same weight of environment,heat and economy,the comprehensive performance index of the system increases from 48.4%to 53.0%.The carbon dioxide emission reduction rate increases from 103.25%to 108.43%,the primary energy saving rate raises from 12.74%to 32.79%,and the annual cost saving rate decreases from 29.34%to 17.89%.