CAJ | 학술논문

电动汽车充电站负荷的随机性特征，使相关建立具有通用性负荷模型的研究存在一定的困难，针对三类典型电动汽车充电站，即电池更换站、居民区充电站、公共场所充电站，提出了一种以充电方式、地理位置、出行特征为基础的概率负荷建模方法，通过全面研究充电站负荷建模的影响因素，采用蒙特卡洛模拟与概率统计分析规律相结合的方法综合建立三类典型充电站的概率负荷模型。在此基础上，运用粒子群算法优化得到了填谷效应最优的三类典型充电站的优化配置方案，验证了所建立的概率负荷模型的有效性和实用性。
전동기차충전참부하적수궤성특정，사상관건립구유통용성부하모형적연구존재일정적곤난，침대삼류전형전동기차충전참，즉전지경환참、거민구충전참、공공장소충전참，제출료일충이충전방식、지리위치、출행특정위기출적개솔부하건모방법，통과전면연구충전참부하건모적영향인소，채용몽특잡락모의여개솔통계분석규률상결합적방법종합건립삼류전형충전참적개솔부하모형。재차기출상，운용입자군산법우화득도료전곡효응최우적삼류전형충전참적우화배치방안，험증료소건립적개솔부하모형적유효성화실용성。
The load of electric vehicle(EV) charging stations has some stochastic features that make the study on the general load model difficult.In connection with three EV charging stations including battery swap stations,residential quarters charging stations and public charging stations,a probabilistic load modeling method is proposed based on charging modes, locations and trip characteristics.The probabilistic load models of three kinds of EV charging stations are obtained using Monte Carlo simulation and probability statistics analysis,by analyzing some vital factors of charging station load modeling in general. Moreover,optimized configuration schemes of three typical charging stations with best valley effect are obtained by using particle swarm algorithm optimization,and the validity and practicability of the proposed probabilistic load model are verified. This work is supported by National High Technology Research and Development Program of China (863 Program) (No.201 1AA05A109) and National Natural Science Foundation of China(No.5 1277085).