CAJ | 학술논문

未来交通环境下，大规模的智能电动车辆将与城市智能交通网和智能配电网相互作用并相互影响。本文将三者有机结合起来，建立了“车-网-路”智能交互系统模型。该模型包括城市中压配电网模型、道路交通网模型和以快速充电方式充电的大规模智能纯电动汽车模型。在此基础上，基于 Dijkstra最短路径算法，提出了具有实时电网和交通信息反馈的智能电动车辆最优充电路径规划方法。最后，通过 MATLAB和 MATPOWER联合仿真系统对该规划方法进行了仿真评价。仿真评价结果表明，本文提出的最优充电路径规划方法，相比目前广泛采用的最近充电路径规划策略，将能有效降低大规模智能电动车辆快速充电对道路交通网和中压配电网的不利影响。
미래교통배경하，대규모적지능전동차량장여성시지능교통망화지능배전망상호작용병상호영향。본문장삼자유궤결합기래，건립료“차-망-로”지능교호계통모형。해모형포괄성시중압배전망모형、도로교통망모형화이쾌속충전방식충전적대규모지능순전동기차모형。재차기출상，기우 Dijkstra최단로경산법，제출료구유실시전망화교통신식반궤적지능전동차량최우충전로경규화방법。최후，통과 MATLAB화 MATPOWER연합방진계통대해규화방법진행료방진평개。방진평개결과표명，본문제출적최우충전로경규화방법，상비목전엄범채용적최근충전로경규화책략，장능유효강저대규모지능전동차량쾌속충전대도로교통망화중압배전망적불리영향。
In the future, the intelligent electric vehicle will interact with and influence on the intelligent transportation system and smart distribution grid. In this paper, the large-scale intelligent EVs, intelligent transportation system and the smart distribution grid are combined into one system. The integrated system of medium voltage city distribution grid model containing 3 types of networks, transportation model, and large-scale IEV model is set up. Under this system, an optimal charging route planning method with real-time feedback of transportation and distribution information based on the Dijkstra’s algorithm is raised. On the basis of this method, simulations are carried out using MATLAB and MATPOWER. The simulation results illustrate that, compared to the nearest charging route planning method, the optimal one can decrease the impact of rapid IEV charging on both transportation and distribution.