The Research of Electric Buses Power Plant Charging Optimization Based on Load Shifting

The electric buses which work in battery swapping mode achieve rapid growth in the field of public transportation. The normal operation of electric buses power plant is related to many factors, such as the replacement of the battery, battery charging and power load and so on. In order to improve the economy of power plant operation, the daily charging demands of electric buses are analyzed and calculated. We set up the charging model of double objective optimization considering load shifting to minimum the charging costand reduce the load fluctuation. Lastly, the weight factor transformation method is utilized to analyze the example based on genetic algorithm and the simulation results show that the optimized charging cost can be saved 30 % with the sharpening peak effect.