摘要
以车网互动模式接入微电网后,电动汽车可与分布式电源在微电网内有机集成,促进二者的应用,有助于提高整体的运行能效。因此,针对风-光-车-储微电网系统的电动汽车充电引导及微源容量优化问题,文章提出了一种考虑车网互动的风-光-车-储微电网容量配置方法。首先建立了基于电价激励的电动汽车有序排队充放电模型,引导电动汽车充放电行为有序化;接着兼顾经济效益和联络线功率波动值,建立风-光-车-储微电网系统容量多目标优化模型;然后利用NSGA-II算法优化微源容量配置;最后通过不同场景下规划结果的对比,分析不同电动汽车调度策略对规划方案效益和联络线功率波动的影响。算例结果表明,文章所提方法可实现资源的合理配置,在保证微电网经济性的同时,减少了联络线功率的频繁波动。
After being connected to the microgrid in the interactive mode of vehicle network,electric vehicles(EV)can be organically integrated with distributed power supply in the microgrid,thus promoting the application of the two,and helping to improve the overall energy efficiency of operation.Therefore,in order to solve the problem of EV charging guidance and micro source capacity optimization in wind-solar-vehicle-storage microgrid system,this paper proposes a capacity allocation method of wind-solar-vehicle-storage microgrid which considers vehicle network interaction.Firstly,a charging and discharging model based on electricity price incentive was established to guide the charging and discharging behavior of electric vehicles to be orderly.Secondly,taking into consideration the economic benefit and the power fluctuation of the tie line,a multi-objective optimization model of the capacity of the wind-solar-vehicle-storage microgrid system was established.Then,NSGA-II algorithm is used to optimize the configuration of microsource capacity.Finally,through the comparison of the planning results under different scenar-ios,the influence of different EV scheduling strategies on the benefits of the planning scheme and the power fluctuation of the tie-line is analyzed.The results of the calculation examples show that the proposed method can achieve reasonable allocation of resources,and reduce the frequent fluctuation of the power of the connection line while ensuring the economy of the microgrid.
出处
《科技创新与应用》
2021年第14期123-127,130,共6页
Technology Innovation and Application
基金
国家自然科学基金资助项目(编号:61872230)。
关键词
风-光-车-储
车网互动
电动汽车
微源规划
多能互补
wind-solar-vehicle-storage
vehicles-microgrid interaction
electric vehicle(EV)
micro-source planning
multienergy supplemen
