电测与仪表2025，Vol.62Issue(3)：121-128,175,9.DOI:10.19753/j.issn1001-1390.2025.03.015
计及用户满意度的综合能源系统多目标优化
Multi-objective optimization of integrated energy system considering customer satisfaction
摘要
Abstract
Under the background of"dual-carbon"goal,aiming at the contradiction between operation economy and low-carbon of rural integrated energy system(IES),IES models of power-to-gas(P2G),ground source heat pump(GCHP)and energy storage devices are established.According to the perceived fuzziness of time-of-use e-lectricity price,time-of-use gas price and heat load,the demand response model of electricity-heat-gas load is put forward.Combining the power purchase,gas purchase,carbon emission intensity of gas turbine operation and car-bon dioxide absorption coefficient of P2G operation,the IES carbon emission mechanism is established.A multi-objective optimization function with improved customer satisfaction,economy and carbon emission is constructed,and MAPSO(multi-group adaptive particle swarm optimization)algorithm is used for optimization analysis,and the Pareto optimal frontier solution sets in different scenarios are obtained.The simulation results show that P2G,GCHP and other units can improve the coupling degree of energy on the supply side,adjust the energy supply mode and promote the consumption of clean energy.Multi-objective optimization with improved user satisfaction plays a positive role in improving the practicability of IES.关键词
"双碳"目标/综合能源系统/供需灵活性/用户满意度/碳排放/多目标优化Key words
"dual-carbon"goal/integrated energy system/supply and demand flexibility/customer satisfaction/carbon emission/multi-objective optimization分类
动力与电气工程引用本文复制引用
郁五岳,贾宇琛,霍利民,温鹏,高立艾..计及用户满意度的综合能源系统多目标优化[J].电测与仪表,2025,62(3):121-128,175,9.基金项目
河北省重点研发计划项目(20327307D) （20327307D）
河北省教育厅科学技术研究项目(ZD2020145) （ZD2020145）
