Charging pile cluster ordered charging method with highest transformer efficiency as target

Abstract

The invention discloses a charging pile cluster ordered charging method with a highest transformer efficiency as a target. The method comprises the following steps: (1) reading charging data of each charging pile and historical charging data of an electric vehicle through a communication line; (2) acquiring power grid load data in real time, and adjusting the upper limit value of the total power of the charging pile cluster; (3) taking the maximum power of a corresponding point on the battery charging characteristic curve of each charging pile as the feasible working power of the charging pile; and (4) accumulating the maximum charging power of the corresponding points on the charging characteristic curve of each charging pile to obtain a maximum charging total power Psc, comparing the Psc with the highest efficiency power point of the transformer, and adjusting the total power of the charging pile cluster and orderly performing vehicle charging on the basis.

Description

technical field [0001] The invention belongs to the field of overall planning of charging pile clusters, and in particular relates to an orderly charging method for charging pile clusters aiming at the highest transformer efficiency. Background technique [0002] The currently widely used disorderly charging method will lead to three main disadvantages through the prediction of charging demand in the early stage: 1. Since the total power required by the charging pile cluster is obtained by prediction, in order to ensure that the total power of the cluster can meet the demand, the The predicted value is set higher to ensure the normal operation of charging pile clusters under higher loads, which will lead to waste of resources to a certain extent; 2. Due to the disorderly charging of charging pile clusters, there may be If the instantaneous total power is too large, the power equipment will be burned; 3. The disorderly charging of charging piles without intervention will easi...

AI Technical Summary

Problems solved by technology

[0002] The currently widely used disorderly charging method will lead to three main disadvantages through the prediction of charging demand in the early stage: 1. Since the total power required by the charging pile cluster is obtained by prediction, in order to ensure that the total power of the cluster can meet the demand, the The predicted value is set higher to ensure the normal operation of charging pile clusters under higher loads, which will lead to waste of resources to a certain extent; 2. Due to the disorderly charging of charging pile clusters, there may be The instantaneous total power is too large and the power equipment is burned; 3. The disorderly charging of charging piles without intervention will easily increase the burden on the power grid and affect the power quality

The partially ordered charging method also has the following disadvantages: the transformer, as an important part of the connection between the charging pile cluster and the grid, cannot maintain long-term high-efficiency operation, resulting in a large waste of electric energy

The genetic algorithm currently being studied (Jiang Xiaowei. Research on the orderly charging control strategy of electric vehicles based on the improved genetic algorithm [D]. Hubei University of Technology, 2016.) needs the optimal solution by simulating the natural evolution process, and the genetic algorithm has a high degree of computational operation. parallelism, and has the characteristics of group search. When evaluating individuals in the population, the genetic algorithm generally needs a fitness function to calculate the evaluation. The next generation of parents is generated through selection, crossover, and compilation. The complexity is high and the calculation time is long. Weak portability, high requirements for early hardware construction

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