CAJ | 학술논문

针对智能电网中电动汽车的有序充电调度问题，提出了用电价杠杆调节电动汽车快充负荷的实时电价机制，引入了愿望度模型，以电网负荷峰谷差最小为目标函数，充电站愿望度和用户愿望度为约束条件，建立了优化数学模型，并通过遗传算法对该优化模型进行求解。最后基于某地区2020年的预测数据进行算例仿真，结果表明，提出的实时电力定价机制可以有效降低峰谷差，保障充电站利益，满足用户充电需求，达到电网、充电站和用户的共赢。
침대지능전망중전동기차적유서충전조도문제，제출료용전개강간조절전동기차쾌충부하적실시전개궤제，인입료원망도모형，이전망부하봉곡차최소위목표함수，충전참원망도화용호원망도위약속조건，건립료우화수학모형，병통과유전산법대해우화모형진행구해。최후기우모지구2020년적예측수거진행산례방진，결과표명，제출적실시전력정개궤제가이유효강저봉곡차，보장충전참이익，만족용호충전수구，체도전망、충전참화용호적공영。
Aiming at the order charging scheduling problem of the electric vehicles in the intelligent grids,a spot power pricing mechanism as a lever of regulating electricity is proposed to dispatch electric vehicle fast charging load. Considering the peak load shifting effect of grid, the benefit of charging station and the desire of customer, the mathematics model of optimization is founded. And a genetic algorithm is used to solve this problem of the model of opti-mization. Finally,a simulation based on an area's predicted data of year 2020 is made to show that the proposed method can lower the peak-valley difference,promise charging station benefit and meet customers'desires,as well as achieve a win-win result of the grid,the charging stations and the users.