基于沼气和P2G的农村综合能源系统多目标优化配置研究  

Research on the multi-objective optimal allocation of a rural integrated energy system based on biogas and P2G

作　　者：霍殿阳 张立梅[1,2] 刘宁 刘永福 HUO Dianyang;ZHANG Limei;LIU Ning;LIU Yongfu(College of Information Science and Technology,Agricultural University of Hebei,Baoding 071000,China;Hebei Key Laboratory of Agricultural Big Data,Baoding 071000,China)

机构地区：[1]河北农业大学信息科学与技术学院,河北保定071000 [2]河北省农业大数据重点实验室,河北保定071000

出　　处：《河北农业大学学报》2025年第2期108-117,共10页Journal of Hebei Agricultural University

基　　金：中国电力科学研究院项目(JLW51202100757);国家电网公司科技项目(2022YF10);河北省重点研发计划项目(203227307D).

摘　　要：为充分利用农村丰富的生物质、风、光等新能源以满足当地电能需要,提出了沼气和P2G相结合的农村综合能源系统(RIES)多目标优化配置方法。首先,构建了基于沼气和P2G的农村综合能源系统模型,并以此为基础分析了各模块之间的能量流动关系。其次,为了农村综合能源系统的优化配置,建立了系统总成本和碳排放量最小化的多目标优化模型。最后,通过隶属度函数将多目标问题转化为单目标问题,并使用层次分析法确定各目标权重,在求解策略上引入了帝国竞争算法,并融入了精英策略与自适应改革率机制,求解复杂的优化问题。通过对算法的高效运用,求解了RIES在不同条件下的最优配置方案,包括设备配置的优化以及单目标和多目标情况下的运行结果对比分析。结果显示,多目标方案在成本目标减少不到1000元的基础上有效地降低碳排放量将近12 t。To fully utilize abundant renewable energy in rural areas,such as biomass,wind,and photovoltaic power,and to meet local electricity demand,this paper proposed a multi-objective optimization method for the allocation of rural integrated energy systems(RIES),combining biogas and Power-to-Gas(P2G)technologies.First,a RIES model based on biogas and P2G was developed to analyze the energy flow relationships between various modules.Next,a multi-objective optimization model was formulated,aiming to minimize both the total system cost and carbon emissions.Finally,th complex solution process was simplified.The multi-objective problem was converted into a single-objective one using a membership function,and the analytic hierarchy processes was employed to determine the weights of each objective,followed by adoption of the imperialist competitive algorithm is adopted as the solution strategy.Additionally,an elite strategy with an adaptive mutation mechanism was incorporated to enhance the algorithm's efficiency in solving complex optimization problems.Through this method,optimal configuration schemes for RIES were derived under different conditions,including equipment configuration optimization and a comparative analysis of the results between single-objective and multi-objective scenarios.The results showed that the multi-objective scheme effectively reduces carbon emissions by nearly 12 tons on the basis of reducing the cost target by less than 1000 yuan.

关 键 词：农村综合能源系统 多目标优化 沼气 P2G 自适应改革率 帝国竞争算法 

分 类 号：S21[农业科学—农业机械化工程] S24[农业科学—农业工程] TM73[电气工程—电力系统及自动化]