综合智慧能源2026，Vol.48Issue(3)：56-64,9.DOI:10.3969/j.issn.2097-0706.2026.03.006
考虑农村用能多样性的碳路径分析及综合能量管理策略研究
Carbon pathway analysis and integrated energy management strategy considering rural energy consumption diversity
摘要
Abstract
The proactive utilization of self-built biomass reactors by rural residents,photovoltaic equipment,and solar thermal equipment in energy supply can facilitate the development of low-carbon micro-integrated energy systems with islanded autonomous operation capabilities for individual users,thereby reducing their reliance on centralized power supply.To address the ambiguity in carbon emission pathways resulting from the diversified green energy production equipment and complex energy consumption behaviors in rural areas,a multi-layer physics-informed convolutional neural Network(PI-CNN)embedded with primary and secondary knowledge was proposed.Through deep interaction between primary and secondary knowledge bases,the model uncovered the mapping relationships between user energy consumption behaviors and carbon emissions,enabling precise tracking of carbon emission paths.Based on the learning outcomes of the PI-CNN network,appropriate weights were assigned to carbon emission pathways,radial distribution network power flows,and time-of-use heat and electricity pricing.An energy management strategy evaluation model was then designed by considering operational integrated carbon emissions,global power flow uniformity of the grid,and total benefits of user energy consumption,to quantify the quality of energy solutions.To address the challenges in solving centralized heterogeneous multi-objective optimization problems,an integrated energy management strategy was developed to balance economic efficiency,low-carbon performance,and robustness by combining adaptive gradient algorithms for mathematical problem solving.Simulation analysis conducted in a village in southern China verified the feasibility of PI-CNN and demonstrated the advantages of the proposed energy management strategy.关键词
农村住宅/低碳运行/卷积神经网络/综合能源系统/自适应梯度算法/碳排放路径Key words
rural house/low-carbon operation/convolutional neural network/integrated energy system/adaptive gradient algorithm/carbon emission pathway分类
能源科技引用本文复制引用
张杨,陶生虎,刘琪..考虑农村用能多样性的碳路径分析及综合能量管理策略研究[J].综合智慧能源,2026,48(3):56-64,9.基金项目
国网甘肃省电力公司定西供电公司科技项目(B7271024009K) Science and Technology Program of Dingxi Power Supply Company,State Grid Gansu Electric Power Company(B7271024009K) （B7271024009K）
