Planning method for site selection and service range division of urban electric taxi charging station

Abstract

The invention discloses a planning method for site selection and service range division of an urban electric taxi charging station. The planning method comprises the following steps of S1, analyzing driving and charging behavior characteristics of an electric taxi; S2, generating charging station construction annual maintenance cost based on the number of the charging piles and user annual charging cost based on the queuing theory; S3, weighting the annual maintenance cost of the charging station construction and the annual charging cost of the user to obtain the whole society comprehensive cost of the charging station, and constructing an electric taxi charging station site planning model by taking the safe operation of the power grid as a constraint; and S4, solving the model establishedin the step S3 by combining a hybrid discrete binary particle swarm algorithm and a Voronoi diagram method to realize optimal planning of a charging station site and automatic optimization of a charging station service range. The planning method is high in practicability, the local searching capacity of charging station site selection planning is enhanced, and a new thought is provided for urbanelectric taxi charging station site selection planning.

Description

technical field [0001] The invention relates to the technical field of electric vehicle charging station planning, in particular to a planning method for site selection and service range division of urban electric taxi charging stations considering intelligent algorithms. Background technique [0002] As the most frequent commuting vehicles in urban traffic, taxis have caused great damage to the urban environment due to exhaust emissions over the years. The introduction of new energy vehicles can effectively reduce the consumption of petroleum resources, and is regarded as an important method to adjust the energy structure, improve the urban environment and achieve sustainable development. A typical problem at this stage is the uncoordinated development of electric taxis and charging infrastructure. Electric vehicles have problems such as short cruising range and long charging time, which are currently difficult to solve, resulting in queues at charging stations. The imper...

AI Technical Summary

Problems solved by technology

These algorithms can obtain the optimal solution to the large-scale location and capacity problem, but it is easy to cause problems such as slow convergence speed and poor local search ability in the later stage.

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