Electric public transportation system planning method

Abstract

The invention relates to an electric public transportation system planning method. The method comprises the following steps: obtaining public transportation network information and cost information; establishing an electric bus network operation scheduling and charging facility layout optimization model taking the minimum total cost of the electric bus system as a target by utilizing the bus network information and the cost information; and solving the electric bus network operation scheduling and charging facility layout optimization model by using an adaptive genetic algorithm of the continuous change crossover probability and the continuous change mutation probability to obtain an electric bus system related to electric bus network operation scheduling and electric bus charging facilitylayout. Compared with the prior art, an electric bus operation scheduling plan and a charging facility layout scheme are optimized at the same time, the method can be suitable for time-of-use electricity price, the utilization rate of electric buses is increased, electric bus charging scheduling is more flexible, off-peak charging can be achieved, the electricity consumption cost is reduced, andthe utilization rate of the electric buses and charging facilities is increased.

Description

technical field [0001] The invention relates to the field of public transport systems, in particular to an electric public transport system planning method. Background technique [0002] The bus system is one of the ideal application scenarios for pure electric vehicles due to its fixed routes and timetables. Electric buses have the characteristics of low noise, zero emissions, and high comfort. They are generally considered to replace traditional diesel buses and are the future development direction of the public transportation system. [0003] However, due to the limitations of battery technology, electric buses have limited battery life and long charging time. The operation and scheduling of electric buses need to consider not only the scheduling of vehicles, but also the scheduling of charging vehicles. In addition, the layout of charging facilities is also a key problem in the electrification of public transport, and the layout of charging facilities and the operation ...

AI Technical Summary

Problems solved by technology

[0005] However, the research on the synchronous optimization technology of electric bus operation scheduling and charging facility layout is still lacking.

Moreover, the current research on electric bus scheduling is mostly based on the single-line scenario of a single-car park, and lacks the consideration of multi-car park and multi-line scenarios

In addition, the current research mostly uses the charging method of full charging by default, and lacks modeling optimization for more flexible partial charging methods

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