随机环境下新能源电动汽车接入充电负荷分层优化控制  

Hierarchical Optimization Control of Charging Load for New Energy Electric Vehicles in Random Environments

作　　者：冯文华 FENG Wen-hua(Jiangsu Donglian Automobile Sales Group Co.,Ltd.,Nanjing 210046)

机构地区：[1]江苏东联汽车销售集团有限公司,南京210046

出　　处：《环境技术》2024年第6期78-83,90,共7页Environmental Technology

摘　　要：随着新能源电动汽车的普及,面临不确定的充电需求、充电资源波动和可再生能源供应的变化等挑战。为此,本研究采用改进的多目标粒子群算法和基于模糊控制的充电负荷调度方法。该方法综合考虑等效负荷峰谷差、配电网总损耗和用户充电费用等多个目标,通过优化策略寻找电网和用户之间的平衡点。同时,利用模糊控制来处理复杂的充电需求和功率变化,将其转化为模糊集合,并根据模糊规则进行充电功率调整。实验结果表明,该方法在提高充电效率、减少系统利用方面具有显著效果。因此,这项研究对于推广新能源电动汽车和提高充电系统的可靠性具有重要理论和实践意义。未来的研究可以进一步优化算法和模型,并结合智能电网技术,推动新能源电动汽车在随机环境下的可持续发展。With the popularity of new energy electric vehicles,challenges arise in dealing with uncertain charging demands,fluctuating charging resources,and variability in renewable energy supply.To address these challenges,this study proposes an improved multi-objective particle swarm optimization algorithm combined with fuzzy control-based charging load scheduling method.The proposed method considers multiple objectives including equivalent load peak-valley difference,distribution network total losses,and user charging costs,and seeks a balance between the interests of the grid and users through optimization strategies.Additionally,the method employs fuzzy control to handle complex charging demands and power variations by transforming them into fuzzy sets and adjusting charging power based on fuzzy rules.Experimental results demonstrate the effectiveness of the proposed approach in improving charging efficiency and reducing system load fluctuations.Therefore,this research holds significant theoretical and practical implications for promoting the widespread adoption of new energy electric vehicles and enhancing the reliability of charging systems.Future research can further optimize algorithms and models while integrating intelligent grid technologies to drive the sustainable development of new energy electric vehicles in stochastic environments.

关 键 词：改进多目标粒子群算法 充电负荷 随机环境 优化控制 

分 类 号：TN425[电子电信—微电子学与固体电子学]