计及用户满意度的综合能源系统多目标优化

郁五岳; 贾宇琛; 霍利民; 温 鹏; 高立艾

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.
YU Wuyue,JIA Yuchen,HUO Limin,WEN Peng,GAO Liai.Multi-objective optimization of integrated energy system considering customer satisfaction[J].Electrical Measurement & Instrumentation,2025,62(3):121-128.

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

DOI：10.19753/j.issn1001-1390.2025.03.015

中文关键词: “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

英文关键词:"dual-carbon" goal, integrated energy system, supply and demand flexibility, customer satisfaction, carbon emission, multi-objective optimization

基金项目:河北省重点研发计划项目(20327307D)；河北省教育厅科学技术研究项目(ZD2020145)

作者中文名	作者英文名	单位
郁五岳	YU Wuyue	1.河北农业大学机电工程学院, 河北保定 071000；3. 河北省畜禽养殖智能装备与新能源利用重点实验室，河北保定 071000
贾宇琛	JIA Yuchen	2.河北农业大学信息科学与技术学院，河北保定 071000；3.河北省畜禽养殖智能装备与新能源利用重点实验室，河北保定 071000
霍利民	HUO Limin	1.河北农业大学机电工程学院, 河北保定 071000；3. 河北省畜禽养殖智能装备与新能源利用重点实验室，河北保定 071000
温鹏	WEN Peng	1.河北农业大学机电工程学院, 河北保定 071000；3. 河北省畜禽养殖智能装备与新能源利用重点实验室，河北保定 071000
高立艾	GAO Liai	1.河北农业大学机电工程学院, 河北保定 071000；3. 河北省畜禽养殖智能装备与新能源利用重点实验室，河北保定 071000

摘要点击次数: 286

中文摘要:

“双碳”目标背景下，针对农村综合能源系统（integrated energy system，IES）运行经济性与低碳性之间的矛盾，建立含电转气（power-to-gas, P2G）、地源热泵（ground source heat pump, GCHP）以及储能装置的IES模型。根据分时电价、分时气价、热负荷的感知模糊性，提出电-热-气负荷需求响应模型；结合系统购电、购气、燃气轮机运转碳排放强度、P2G运转吸收二氧化碳系数，建立IES碳排放机制；构建含改进型用户满意度、经济性、碳排放的多目标优化函数，采用MAPSO(multi-group adaptive particle swarm optimization)算法进行优化分析，得出不同场景Pareto最优前沿解集。仿真分析表明：P2G、GCHP等机组能够在供给侧提升能源之间耦合度，调节能源供给方式，促进清洁能源消纳；含改进型用户满意度的多目标优化对于提升IES的实用性具有积极作用。

英文摘要:

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 electricity 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 carbon 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.

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