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文章摘要

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

Received:May 25, 2022 Revised:June 15, 2022

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)

Author Name	Affiliation	E-mail
YU Wuyue	1. College of Mechanical and Electrical Engineering，Hebei Agricultural University, Information Science and Technology College of Hebei Agricultural University, Baoding 071000, Hebei, China. 3. Key Laboratory of Intelligent Equipment and New Energy Utilization of Livestock and Poultry Breeding in Hebei Province, Baoding 071000, Hebei, China	782683621@qq.com
JIA Yuchen	2.College of Information Science and Technology，Hebei Agricultural University, Baoding 071000, Hebei, China. 3. Key Laboratory of Intelligent Equipment and New Energy Utilization of Livestock and Poultry Breeding in Hebei Province, Baoding 071000, Hebei, China.	jiayuchen1981@163.com
HUO Limin^*	1. College of Mechanical and Electrical Engineering，Hebei Agricultural University, Information Science and Technology College of Hebei Agricultural University, Baoding 071000, Hebei, China. 3. Key Laboratory of Intelligent Equipment and New Energy Utilization of Livestock and Poultry Breeding in Hebei Province, Baoding 071000, Hebei, China	huolimin@126.com
WEN Peng	1. College of Mechanical and Electrical Engineering，Hebei Agricultural University, Information Science and Technology College of Hebei Agricultural University, Baoding 071000, Hebei, China. 3. Key Laboratory of Intelligent Equipment and New Energy Utilization of Livestock and Poultry Breeding in Hebei Province, Baoding 071000, Hebei, China	wenpengbd@126.com
GAO Liai	1. College of Mechanical and Electrical Engineering，Hebei Agricultural University, Information Science and Technology College of Hebei Agricultural University, Baoding 071000, Hebei, China. 3. Key Laboratory of Intelligent Equipment and New Energy Utilization of Livestock and Poultry Breeding in Hebei Province, Baoding 071000, Hebei, China	gaoliai111@126.com

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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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