本文選題：電動汽車 + 充電站��； 參考：《計算機仿真》2017年08期

【摘要】：在電動汽車充電站選址和充電樁配置的研究中,針對充電需求隨機性和動態(tài)性難以考慮和服務(wù)水平目標(biāo)難以體現(xiàn)的問題,構(gòu)建了以規(guī)劃期內(nèi)充電站的總成本凈現(xiàn)值和顧客流失數(shù)量最小為目標(biāo)的電動汽車充電站選址和充電樁配置仿真優(yōu)化模型。為了提高仿真計算效率,提出了一種基于禁忌搜索算法的兩階段仿真優(yōu)化算法。最后結(jié)合實例,對算例中的充電站選址和充電樁配置方案進行求解。結(jié)果表明,基于禁忌搜索算法的兩階段仿真優(yōu)化算法,能夠求解出充電站選址和充電樁配置的優(yōu)化方案,并保證充電效率。
[Abstract]:In the research of charging station location and charging pile configuration of electric vehicle, it is difficult to consider the randomness and dynamics of charging demand and the target of service level. A simulation optimization model of charging station location and charging pile configuration for electric vehicles is established, aiming at the minimum net present value of total cost and the minimum number of customers lost in the charging station during the planning period. In order to improve the efficiency of simulation, a two-stage simulation optimization algorithm based on Tabu search algorithm is proposed. Finally, the location of charging station and the configuration of charging pile are solved by an example. The results show that the two-stage simulation optimization algorithm based on Tabu search algorithm can solve the optimization scheme of charging station location and charging pile configuration and ensure charging efficiency.
【作者單位】： 國網(wǎng)遼寧省電力有限公司大連供電公司;河北港口集團;
【分類號】：U491.8

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