A charging method for new energy bus charging stations based on double-layer control

Abstract

The present invention specifically relates to a charging method for a new energy bus charging station based on double-layer control, which is characterized in that it includes an upper-level optimization method and a lower-level optimization method, and the upper-level optimization method optimizes the power of all transformers in the power distribution room. The steps are: 1) obtaining The load power demand curve of the distribution station; 2) The load power demand curve of a day is discretized for Y hours; 3) According to the discrete power demand obtained in step 2, the operating number N of transformers at each specific time is determined, 4) When the number of transformers N is determined, the load of each transformer at a certain moment is obtained through the particle swarm optimization algorithm; the lower layer optimization method optimizes the charging power of all charging piles, and according to the calculated charging pile power and its corresponding charging Time, charging piles are allocated according to the demand of the electric vehicle, while the charging cost is reduced by using the invention, the loss of the transformer, the variance of the load and the charging time are significantly improved.

Description

technical field [0001] The invention belongs to the field of charging methods for new energy bus charging stations, in particular to a charging method for new energy bus charging stations based on double-layer control. Background technique [0002] The new energy bus charging station is mainly composed of power distribution rooms, charging piles and new energy buses. The operation of the new energy bus charging station is based on the operation schedule of the bus, which has the particularity of the use of the general new energy charging station in time. At present, there are two main charging methods for the new energy charging station: [0003] The first is to reduce the network loss by considering the impact of the peak-to-valley load fluctuation of the charging station on the power grid, but does not fully consider the lower components of the charging station. [0004] The second is to optimize the load in the time dimension to form a reasonable configuration according ...

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Problems solved by technology

[0003] The first is to reduce the network loss by considering the impact of the load peak and valley fluctuations of the charging station on the power grid, but it does not fully consider the underlying components of the charging station

[0004] The second is to optimize the time dimension of the load according to the guidance of the time-of-use electricity price to form a reasonable configuration, but the actual operation of new energy buses is always ignored when optimizing the time

[0005] At present, the charging method of the new energy bus charging station is divided into the entire charging station structure, and there is no economic method that fully considers the levels of power distribution room, charging pile and bus

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