摘要
将换电站作为可控负荷,根据分时电价差异引导其避峰填谷,减小微网系统峰谷差,提高运行效率。以微网最小运行成本为优化目标,通过改进遗传算法优化各微源出力以及换电站充电功率,对比分析了换电站不同充电模式对微网能量优化的影响。结果表明:换电站作为可调度负荷参与系统调节有利于微网对可再生能源的消纳,节省安装储能装置的成本,BSS串联运行方式下调度灵活,效益更好。
Regarded battery-swapping station （BSS） as schedulable load, which is guided to avoid peak and fill valley according to the different electricity price, so that the gap between peak and valley of micro-grid system is reduced and the operational efficiency is improved. The minimum operating cost of micro-grid is regarded as optimization goal, improved genetic algorithm is used to optimize the outputting of each micro-souree and the charging power of BSS, and the impact by different charging modes of BSS to micro-grid energy optimization are comparative analyzed. The resuh indicates that BSS is used as scheduling load to take part in system adjustment will be better for the amusing of renewable energy, and the cost of installing storage is saved. BSS run as series mode will be dispatched flexible, and have better benefits.
出处
《陕西电力》
2015年第5期26-31,共6页
Shanxi Electric Power
关键词
微电网
优化运行
改进遗传算法
电动汽车
换电站
负荷调度
micro-grid
optimized operation
improved Genetic Algorithm
electric vehicles
battery-swapping station
load dispatch
