摘要
在碳减排和环境保护需求的推动下,电动汽车的普及速度加快,同时从时间和空间维度挖掘充电负荷的调控潜力可以有效地缓解配电网的扩容压力,基于此提出了双楼宇专变供电充电站负荷的时空特性双重调控方法。介绍了双楼宇专变供电充电站负荷时空特性的双重调控机理,利用双楼宇专变冗余容量和储能系统对充电站进行供电;结合储能充放电调控、充电桩和储能的双电源切换开关切换、充电桩功率实时调度3种调控方法,提出了充电站负荷的时空双维调控策略;提出了结合日前和实时2种时间尺度的充电站优化模型,以电动汽车服务率为优化目标建立储能充放电的日前优化模型,以变压器负荷标准差为目标建立双电源切换开关切换的实时优化模型,以各时段调度成本为目标建立充电桩功率的实时调度模型,通过多样化的调控手段提升充电站的经济性和安全性。通过算例仿真验证了所建模型的有效性。
Driven by the demand of carbon emission reduction and environmental protection,the populariza⁃tion of electric vehicles has been accelerated.Meanwhile,exploring the regulation potential of charging load from time and space dimensions can effectively alleviate the expansion pressure of distribution network.Based on this,a two-dimensional regulation method of time-space characteristics for charging station load powered by bi-building special transformers is proposed.The two-dimensional regulation mechanism of charging station load time-space characteristics is introduced.The charging station is powered by the redundant capacity of the bi-building special transformers and the energy storage system.Combining three regulation methods,namely the energy storage charging and discharging regulation,the switching of dual power switching switch(DPSS)of charging piles and energy storages,and the real-time power scheduling of charging piles,a time-space two-dimensional regulation strategy of charging station load is proposed.The optimization model of charging station combining day-ahead and real-time time scales is proposed.The day-ahead opti⁃mization model of energy storage system charging and discharging is established with electric vehicle service rate as the optimization objective,the real-time optimization model of DPSS switching is established with the standard deviation of transformer load as the objective,and the real-time scheduling model of charging pile power is established with the scheduling cost in each period as the objective,so as to improve the economy and safety of the charging station through various regulation means.The effectiveness of the pro⁃posed model is verified by example simulation.
作者
张勇军
周星月
唐渊
杨景旭
姚蓝霓
李其霖
ZHANG Yongjun;ZHOU Xingyue;TANG Yuan;YANG Jingxu;YAO Lanni;LI Qilin(School of Electric Power,South China University of Technology,Guangzhou 510640,China;Digital Grid Research Institute of China Southern Power Grid,Guangzhou 510670,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2023年第6期37-45,共9页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(52177085)
中国博士后科学基金资助项目(2020M682704)。
关键词
电动汽车
充电站
双电源
储能系统
实时调度
时空双维调控
electric vehicles
charging station
dual power supply
energy storage system
real-time scheduling
time-space two-dimensional regulation
