Test Method for Electric Vehicle Charging Pile Capacity under Hybrid Genetic Algorithm
At present,the increased load connected to electric vehicle charging stations may lead to overloading of charging lines,increased energy loss,and increased risks to the power grid.To solve this problem,a method for meas-uring the capacity of electric vehicle charging piles was proposed hybrid genetic algorithm.First,the impact of some factors such as vehicle operating mechanism,battery characteristics,and charging mode on the capacity of the charging pile was analyzed.Then,vehicle charging point demand and path demand were calculated.Meanwhile,reasonable constraints were determined.Considering the charging pile capacity as a feasible space that satisfied multiple con-straints,we built a model for capacity test under the constraints of power generation capacity,power balance,power flow balance and voltage stability.In order to address the issue of slow convergence speed in genetic algorithm,a par-ticle swarm optimization algorithm was introduced to improve it.Moreover,the model was solved through individual optimization.Finally,we got the test values.Experimental results show that the measurement results of the proposed method under peak load,medium load,and base load are basically consistent with the actual values,and the measure-ment time is less than six seconds.This algorithm converges much faster.
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