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Dynamic demand response method under condition of large-scale electric vehicle access

An electric vehicle and demand response technology, applied in electric vehicles, electric vehicle charging technology, vehicle components, etc., can solve problems such as power quality degradation, difficulty in operation optimization control, and grid load growth.

Inactive Publication Date: 2019-06-25
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +4
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the connection of such a huge number of electric vehicles to the distribution network has brought a non-negligible impact on the safe and stable operation of the power grid, such as the increase of grid load, the difficulty of operation optimization control, and the decline of power quality.

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  • Dynamic demand response method under condition of large-scale electric vehicle access
  • Dynamic demand response method under condition of large-scale electric vehicle access
  • Dynamic demand response method under condition of large-scale electric vehicle access

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Embodiment Construction

[0068] The present invention will be described in further detail below and through specific examples. The following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention with this.

[0069] A dynamic demand response method under the condition of large-scale electric vehicle access, comprising the following steps:

[0070] Step (1), according to the information obtained from the electric vehicle power consumption information big data platform for electric vehicle charging and swapping under the condition of large-scale access, perform big data cluster analysis to form a load characteristic curve based on electric vehicle charging and swapping;

[0071] (1) The big data platform of electric vehicle electricity consumption information includes the following parts:

[0072] ①Data acquisition layer, including functions such as data extraction, data distribution, and log file capture of electric vehicle power supply, realizes ...

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Abstract

The invention relates to a dynamic demand response method under the condition of large-scale electric vehicle access, which includes the following steps: (1) making big data clustering analysis according to the information obtained from an electric vehicle electricity consumption information big data platform of electric vehicle charging and battery swapping under the condition of large-scale access to form a load characteristic curve based on electric vehicle charging and battery swapping; (2) establishing an electric vehicle dynamic demand response model of large-scale access; and (3) solving the model by a particle swarm optimization algorithm to obtain a demand response strategy of power supply enterprises. The household electric vehicle orderly charging strategy under multiple objectives of the invention well takes into account the balance between user expenditure reduction and system load fluctuation reduction, has good economic benefits for both the user side and the grid side,and can achieve mutual benefit and win-win between the user and the grid.

Description

technical field [0001] The invention belongs to the technical field of electric power demand response, relates to electric vehicle access, in particular to a dynamic demand response method under the condition of large-scale electric vehicle access. Background technique [0002] Nowadays, the problems of environmental pollution and energy shortage are becoming increasingly serious, and the main reason for these problems is that the existing energy sources are mainly non-renewable fossil energy, so it is necessary to develop and utilize new energy while reducing the use of fossil energy . [0003] Electric vehicles are favored by the market for their clean and environmentally friendly features. In 2016, global electric vehicle sales reached 773,600 units, a year-on-year increase of 42%. As of the end of December 2016, there were more than 2 million new energy vehicles on the road, of which 61% were pure electric vehicles and 39% were plug-in hybrid vehicles. Sales of new en...

Claims

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Application Information

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IPC IPC(8): H02J3/00B60L53/60B60L53/63B60L53/64B60L53/66B60L53/67B60L53/62
CPCY02T90/16Y02T10/7072Y02T10/70Y02T90/12
Inventor 李磊李晓辉赵新徐磊刘伟东刘小琛梁彬陈彬刘洋洋谢秦赵庆来邹琪杨光李丹葛磊蛟
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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