Space load prediction method considering electric vehicle charging demand

A space load forecasting, electric vehicle technology, applied in forecasting, complex mathematical operations, instruments, etc., can solve problems such as uncertainty of space load forecasting results

Pending Publication Date: 2020-07-10
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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AI Technical Summary

Problems solved by technology

This system and method aims to solve the impact of large-scale electric vehicles connected to the power grid on the uncertainty of spatial load prediction results, comprehensively consider various factors to simulate the temporal and spatial distribution of electric vehicle charging demand, and provide reference for future urban distribution network planning

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  • Space load prediction method considering electric vehicle charging demand
  • Space load prediction method considering electric vehicle charging demand
  • Space load prediction method considering electric vehicle charging demand

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Embodiment Construction

[0045] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.

[0046] The present invention provides a space load forecasting method considering the charging demand of electric vehicles, such as figure 1 shown, including the following steps:

[0047] Step 1: According to the operating characteristics and charging mode of electric vehicles, electric vehicles are divided into three categories: private cars, taxis and buses.

[0048] Among them, according to the survey data of "Electric Vehicle Conductive Interface" passed by my country in 2010, the charging modes of electric vehicles include slow charging L1 mode, conventional charging L2 mode and fast charging L3 mode; slow charging L1 mode and conventional charging mode The L2 mode is AC charging; the fast c...

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Abstract

The invention discloses a space load prediction method considering electric vehicle charging demands, and the method comprises the following steps: 1, dividing electric vehicles into three types according to operation characteristics and charging modes; 2, fitting the probability distribution of the travel information according to the survey data to obtain a probability density function of the travel information; 3, constructing a travel chain model according to the type of the travel destination of the electric vehicle, and counting the probability proportion of the travel chain model; 4, according to the probability density function of the travel information and the probability proportion of the travel chain model, based on a Monte Carlo algorithm, simulating and calculating charging load variance coefficients of the three types of electric vehicles, carrying out the superposition, and completing the space load prediction. According to the method, the influence of large-scale electric vehicle access to the power grid on the uncertainty of the space load prediction result is solved, the space-time distribution of the electric vehicle charging demand is simulated by comprehensivelyconsidering multiple factors, and reference is provided for planning of a future urban power distribution network.

Description

technical field [0001] The invention relates to the technical field of space load forecasting, in particular to a space load forecasting method considering the charging demand of electric vehicles. Background technique [0002] Spatial load forecasting, also known as community load forecasting, can predict the geographical distribution and value of loads in the planning area. It is an important reference for the planning and construction of urban distribution networks. Electric vehicles are the main development direction of new energy vehicles in the future. In recent years In the future, it will become a hot spot in the development of domestic and foreign automobile industries. The national policy orientation is obvious, and the speed of development is accelerating. It will gradually enter the stage of industrialization. [0003] The large-scale electric vehicle charging load has the characteristics of randomness, intermittency and volatility in time and space, which will h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q10/04G06Q50/06
CPCG06F17/18G06Q10/04G06Q50/06
Inventor 邵宇鹰彭鹏潘志刚顾天王婷婷
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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