电力建设2024，Vol.45Issue(5)：105-117,13.DOI:10.12204/j.issn.1000-7229.2024.05.011
农业综合能源系统多场景置信间隙决策低碳调度
Low-Carbon Scheduling for Multi-Scenario Confidence Gap Decision Making for Integrated Energy Systems in Agriculture
摘要
Abstract
A low-carbon dispatch optimization model of modern agricultural integrated energy systems based on the multi-scenario confidence gap decision theory is constructed to address the carbon emission problem of wind-solar-waste-biogas storage joint dispatch in modern agricultural parks.First,the improved Shapley value method is used to allocate carbon emission allowances,and a laddered carbon trading price model is obtained for each entity considering risk factors.Second,based on the laddered carbon trading price model of each entity and considering the uncertainty of the source load,a multi-objective optimal scheduling model with the lowest operating cost and carbon dioxide emissions of the modern agricultural park is constructed based on the multi-scenario confidence gap decision theory.Finally,the model is verified using data from an agricultural park in Northeast China.The results show that an improved Shapley value renders the laddered carbon trading price more realistic.Modern agricultural parks have experienced a 37.25%reduction in operating costs and a 59.84%reduction in carbon emissions.Furthermore,the park achieved multi-energy coordinated optimization.Consequently,the low-carbon environmental protection and risk resistance capabilities of modern agricultural parks have improved.关键词
现代农业园区/阶梯碳交易/改进Shapley值/多场景置信间隙决策/风-光-垃圾-沼-储Key words
modern agricultural park/laddered carbon trading/improved Shapley value/multi-scenario confidence gap decision/wind-solar-waste-biogas-storage分类
信息技术与安全科学引用本文复制引用
高建伟,张艺,高芳杰,刘嘉燕..农业综合能源系统多场景置信间隙决策低碳调度[J].电力建设,2024,45(5):105-117,13.基金项目
This work is supported by National Natural Science Foundation of China(No.72071076). 国家自然科学基金项目(72071076) （No.72071076）
