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Method for electric vehicle load prediction based on efficiency maximization principle

A technology for electric vehicles and load forecasting, applied in the field of power systems, can solve problems such as blank research

Inactive Publication Date: 2016-06-29
WUHAN UNIV
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Problems solved by technology

[0005] At present, domestic scholars have done a lot of research on the load forecasting of electric vehicles, but they mainly focus on the load forecasting of electric vehicles from the perspective of time. Forecasting, there is no literature that refines the research on electric vehicle load forecasting to charging stations, and the research on this aspect is still blank

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  • Method for electric vehicle load prediction based on efficiency maximization principle
  • Method for electric vehicle load prediction based on efficiency maximization principle
  • Method for electric vehicle load prediction based on efficiency maximization principle

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Embodiment

[0067] 1. The space-time model of vehicle travel based on the travel chain.

[0068] The travel chain is a description of the time-space change process of residents in order to complete a series of activities within a certain time-space range. This process includes traveler's time, space, activity purpose, transportation mode and other information. The daily travel behavior of electric vehicle users includes driving destination, departure time, driving distance, parking time and other information. By investigating and analyzing the travel behavior of electric vehicles, the travel chain of electric vehicles within a day can be obtained. Considering that electric vehicles are currently in the stage of trial operation and gradual promotion, there is a lack of reliable historical data related to the travel characteristics of electric vehicle users. Therefore, this paper assumes that electric vehicles have similar travel characteristics to traditional fuel vehicles.

[0069] 1.1. ...

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Abstract

The invention belongs to the technical field of electric power systems and particularly relates to a method for electric vehicle load prediction based on an efficiency maximization principle. First a space-time distribution model of electric vehicles is established based on a trip chain, information such as initial departure time, driving destination, driving distance and stopping time is analyzed, and charging space-time distribution of the electric vehicles is obtained. Charging stations most favorable for users are selected based on the efficiency maximization principle to charge the electric vehicles, and finally space-time distribution of electric vehicle charging loads is given. On the basis of the fact that the electric vehicle load prediction by previous scholars is only confined to the time level and the regional level, the method for electric vehicle load prediction based on the efficiency maximization principle is provided, and the load prediction can be detailed to the charging stations.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to an electric vehicle load forecasting method based on the principle of efficiency maximization. Background technique [0002] As the basic industry of the national economy, the energy industry is not only a necessary prerequisite for ensuring national strategic security, but also an important guarantee for achieving sustainable economic development. With the expansion of economic scale, the demand for traditional energy such as oil continues to increase, and more and more carbon content is emitted into the atmosphere, which makes the pressure of energy shortage and ecological environment deterioration increasing. With its advantages of energy saving and environmental protection, electric vehicles have become an effective way to solve the shortage of energy resources and serious air pollution. [0003] The electric vehicle industry has been listed as one of the s...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/003
Inventor 杨军陈杰军
Owner WUHAN UNIV
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