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Electric vehicle charging load space-time prediction method considering travel path decision

A technology of electric vehicles and travel paths, applied in the direction of electrical digital data processing, complex mathematical operations, instruments, etc., can solve problems such as power distribution line congestion, power load growth, etc., to ensure continuity, avoid limitations, and apply scenarios flexible effects

Pending Publication Date: 2022-08-02
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, a large amount of electric vehicle charging demand will inevitably lead to a new round of electricity load growth, resulting in "blocking" of distribution lines. Therefore, in addition to planning and dispatching the power system from the supply side, power companies also focus on Improving the Forecast Level of Electric Vehicle Charging Load

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  • Electric vehicle charging load space-time prediction method considering travel path decision
  • Electric vehicle charging load space-time prediction method considering travel path decision
  • Electric vehicle charging load space-time prediction method considering travel path decision

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Embodiment Construction

[0056] The present invention proposes a spatiotemporal prediction method for electric vehicle charging load considering travel path decision, comprising the following steps:

[0057] Step 1. First, according to the different functions of electric vehicle travel destinations, the city to be planned is divided into four categories, namely residential area, work area, commercial area and other functional areas, and the method of graph theory is used to obtain the planning area. Traffic road network topology map.

[0058] The specific method for obtaining the traffic road network topology diagram includes:

[0059] (1) The geometric centers of all functional areas are used as the nodes of the functional areas, and the line segments connected by nodes between the functional areas are defined as the roads of the planning area;

[0060] (2) The length of the path, the driving speed or the driving time, etc. as the road weight;

[0061] (3) Use directed and undirected graphs to repr...

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Abstract

The invention discloses an electric vehicle charging load space-time prediction method considering a travel path decision, which combines a travel chain theory with a traffic network, and samples the initial travel moment and the initial charge state of a user by using median Latin hypercube sampling. In consideration of the uncertainty charging demand of the user, a charging behavior model of the user is constructed by using three evaluation indexes, namely the residual charge state, the stop duration and the charging duration, through a fuzzy comprehensive evaluation method. The influence of road traffic conditions on a user travel path is considered, a road resistance function model is constructed according to a logit model, a dynamic Floyd algorithm is utilized to obtain the user travel path, and the spatial and temporal distribution of the electric vehicle charging demand is obtained through Monte Carlo simulation. The method can effectively simulate the actual travel trajectory of the user, has advantages in path planning, passenger capacity influence and model precision, and has important reference value for locating and sizing of the electric vehicle charging pile, planning and operation of a power distribution network and the like.

Description

technical field [0001] The invention belongs to the field of smart grids, and in particular relates to a spatiotemporal prediction method of electric vehicle charging load considering travel path decision. Background technique [0002] With the continuous growth of electricity demand, the shortage of resources and the increasingly prominent problems of environmental pollution, the state vigorously advocates the development of clean energy. Electric vehicles (EV), as a major gateway for the use of clean energy, have received extensive support. Electric vehicles have many advantages such as high energy efficiency, low pollution, and environmental friendliness. They can effectively solve the problems of motor vehicle emission pollution and shortage of fossil energy, and provide a guarantee for the development of energy conservation and emission reduction measures in my country. However, a large number of electric vehicle charging demands will inevitably lead to a new round of p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/16G06F113/04G06F119/06
CPCG06F30/20G06F17/16G06F2119/06G06F2113/04
Inventor 左逸凡李伟豪李娇杨伟
Owner NANJING UNIV OF SCI & TECH
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