CAJ | 학술논문

电动汽车大规模接入电网后，如何优化实时充电功率，避免自由充电带来的晚高峰，实现填谷充电成为重要问题。文中首先回顾了常规实时充电优化方法和电动汽车充电预测技术。基于电动汽车尤其是汽车集群充电行为的可预测性，在常规充电优化方法中加入了未入网汽车的充电预测模型，提出计及汽车充电预测的实时充电优化模型，并通过滚动优化求解得到入网汽车的实时优化充电功率。通过分析和仿真，在不同预测精度下，所提方法都非常接近理论上的最优填谷，并且电动汽车入网充电时间越分散，所提方法对常规方法的改善越明显。
전동기차대규모접입전망후，여하우화실시충전공솔，피면자유충전대래적만고봉，실현전곡충전성위중요문제。문중수선회고료상규실시충전우화방법화전동기차충전예측기술。기우전동기차우기시기차집군충전행위적가예측성，재상규충전우화방법중가입료미입망기차적충전예측모형，제출계급기차충전예측적실시충전우화모형，병통과곤동우화구해득도입망기차적실시우화충전공솔。통과분석화방진，재불동예측정도하，소제방법도비상접근이론상적최우전곡，병차전동기차입망충전시간월분산，소제방법대상규방법적개선월명현。
With large-scale electric vehicles(EVs)integrated into the power system,how to optimize EV charging power in real time to avoid incremental peak load and achieve valley-filling will be important.The regular real-time charging optimization as well as the vehicle charging prediction method is reviewed at first.Since vehicle charging (especially vehicle fleet charging) is predictable,a new real-time charging optimization model is proposed on the basis of the regular method with the consideration of the prediction model of incoming EVs.The new model is solved with receding horizon optimization,obtaining the current optimized charging power of plugged EVs.Through case study with various prediction accuracies,it can be seen that the proposed method always approaches the optimal solution to valley-filling.Moreover,compared with regular method,the proposed method would make a greater improvement of optimization result in the case of more diverse EV plug-in time.