摘要
各类能源的消耗加剧了温室效应,为减少大量的碳排放,电力物流行业积极响应发展绿色物流。基于低碳绿色物流背景,科学选出电网配送中心的位置对电力行业发展有着至关重要的作用。因此,将碳排放因素考虑在内,构建基于碳约束的二级电网配送中心选址模型及约束条件,并通过改进的免疫粒子群算法求解。研究结果发现,选出的一级、二级配送中心能有效进行配送,减少碳排放,提高了物流服务效率,所建的模型和选用求解的方法适用于电网配送中心选址优化问题,有较好的适用性。
The consumption of various energies intensifies the greenhouse effect.In order to reduce a large number of carbon emissions,the power logistics industry has also responded positively,and actively developed green logistics development.Based on the background of low-carbon green logistics,scientifically selecting the location of power grid distribution center plays an important role in the development of power industry.So considering the carbon emission factor,the location model and constraints of secondary power distribution center based on carbon constraint are constructed and solved by improved immune particle swarm optimization algorithm.The results show that the selected primary and secondary distribution centers can effectively carry out distribution,reduce carbon emissions and improve logistics service efficiency,the model and the solution method are also suitable for the location optimization of power grid distribution center,and have good applicability.
作者
王亚文
WANG Yawen(North China Electric Power University)
出处
《上海节能》
2020年第12期1427-1432,共6页
Shanghai Energy Saving
关键词
选址优化
碳排放
改进免疫粒子群
多目标优化
Location Optimization
Carbon Emission
Improved Immune Particle Swarm Optimization
Multi Objective Optimization