CAJ | 학술논문

电动汽车未来大规模发展需要众多公共充电站服务,公共充电站应根据电动汽车分布进行合理布局。给出电动汽车分布的预测方法,采用基于排队论的充电机配置方法,提出公共充电站布局最优规划的数学模型。采用与充电站布局有相似数学特点的Voronoi图划分充电站服务区域,服务区内电动汽车考虑快充随机性,采用排队论M/M/s模型,以电动汽车排队等候时间为标准确定充电站规模。为解决Voronoi图全局寻优的困难,与具备全局随机寻优能力的改进粒子群优化算法结合,提出了最优规划的联合求解流程。算例分析验证了规划方法和算法的有效性和实用性。
전동기차미래대규모발전수요음다공공충전참복무,공공충전참응근거전동기차분포진행합리포국。급출전동기차분포적예측방법,채용기우배대론적충전궤배치방법,제출공공충전참포국최우규화적수학모형。채용여충전참포국유상사수학특점적Voronoi도화분충전참복무구역,복무구내전동기차고필쾌충수궤성,채용배대론M/M/s모형,이전동기차배대등후시간위표준학정충전참규모。위해결Voronoi도전국심우적곤난,여구비전국수궤심우능력적개진입자군우화산법결합,제출료최우규화적연합구해류정。산례분석험증료규화방법화산법적유효성화실용성。
Taking into account the need of electric vehicles(EVs)of many public charging stations with their rapid growth in the future,public charging stations should be located according to the distribution of EVs.The method of predicting the distribution of EVs is given,and the charger configuration method based on the queuing theory is provided.A mathematical model for charging station location optimal planning is presented.The Voronoi diagram with many mathematical properties similar to EV charging stations is used to divide service areas.By considering the randomness of fast charging,the queuing time of EVs in the service areas calculated by the queuing theory M/M/s model is used to determine the scale of charging stations.To solve the Voronoi diagram global optimization problem,the Voronoi diagram is combined with the improved particle swarm optimization(PSO)algorithm,which has global stochastic optimization ability,and forms a joint solving process of the optimal planning model.Finally,the example analysis verifies the effectiveness and practicality of the planning method.