摘要
基于模拟退火算法(SA),研究了电动汽车充电负荷对配网电压的影响及充电桩的最优分布问题。首先,分析了不同时刻、不同负荷渗透率和同一时刻同一渗透率3种情景下,电动汽车充电负荷对配网电压偏移量造成不同程度的影响;然后,根据排队理论,以顾客等待时间和充电桩利用率建立满意度函数,得到最优的充电桩数量;再以节点压降最小为目标函数,通过模拟退火算法得到充电桩的最优分布策略。通过IEEE33节点系统的计算结果证实,优化后的站址分布能够大大地减弱电动汽车充电负荷对配网系统节点电压的影响,为衔接配网规划与充电桩规划提供参考。
Based on the Simulated Annealing algorithm （SA）, this essay is to study the impact on the voltage of distribution network system （DNS） by the charging load of electric vehicles and the optimal distribution of charging piles. First, impacts of different levels on the voltage deviation of the distribution network caused by the charging load of electric vehicles are analyzed respectively in terms of different time, different permeability, and the same time with the same permeability. Next, based on the Queuing Theory, optimal number of charging piles are worked out by the satisfactory function in terms of customersˊ waiting time and utilization of charging piles. And then, taking the minimum voltage deviation as the objective function, the strategy of optimal distribution of charging piles is developed through the SA. Proved by computed results of the IEEE 33-bus case, the optimized distribution of sites can greatly lower the bad impact of the voltage deviation of DNS caused by the charging load of EVs , which offers some references for the planning of both DNS linking and charging piles.
出处
《可再生能源》
CAS
北大核心
2017年第6期933-939,共7页
Renewable Energy Resources
关键词
电动汽车
电压偏移量
满意度函数
模拟退火算法
排队论
electric vehicles
voltage deviation
satisfactory function
simulated annealing algorithm
queuing theory
