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Electric vehicle charging optimization scheduling method considering transformer capacity elasticity

An electric vehicle and optimal dispatching technology, applied in the direction of instruments, calculations, electrical components, etc., can solve the problems of rapid aging of transformers, unfavorable safe and stable operation of power equipment, etc., and achieve the effect of reducing aging

Inactive Publication Date: 2021-09-07
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] More and more electric vehicles connected to the grid charging and distribution system have brought many adverse effects, especially the rapid aging of transformers, which is not conducive to the safe and stable operation of power equipment

Method used

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  • Electric vehicle charging optimization scheduling method considering transformer capacity elasticity
  • Electric vehicle charging optimization scheduling method considering transformer capacity elasticity
  • Electric vehicle charging optimization scheduling method considering transformer capacity elasticity

Examples

Experimental program
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Embodiment 1

[0053] Such as figure 1 As shown, this embodiment provides an electric vehicle charging optimization scheduling method considering the transformer capacity elasticity, including the following steps:

[0054] (1) Establish an electric vehicle charging scheduling model for energy peak-shaving and valley-filling benefits and distribution network costs, determine the corresponding objective function and related constraints, and form an original optimization problem;

[0055] The income of energy peak shaving and valley filling is:

[0056]

[0057] Among them, C AB,i is the daily energy arbitrage income of the i-th electric vehicle, and Indicates the discharge and charge power of the i-th electric vehicle at time t, in kW; △ t is the time interval at time t, c t is the electricity price at time t, and T is the total time of a day.

[0058]Distribution network cost includes peak demand cost, power loss cost and transformer aging cost; the implementation steps of distribu...

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Abstract

The invention belongs to the technical field of electric vehicle scheduling optimization, and particularly relates to an electric vehicle charging optimization scheduling method considering the transformer capacity elasticity. The method comprises the following steps of: (1) establishing an electric vehicle charging scheduling model of energy peak load shifting income and power distribution network cost, determining a corresponding objective function and a transformer capacity elasticity constraint condition, and forming an original optimization problem; and (2) performing optimization through a genetic algorithm to solve the electric vehicle charging scheduling model so as to realize electric vehicle charging scheduling optimization. According to the invention, the peak demand cost, the power loss cost and the transformer aging cost can be minimized, the charging cost of the electric vehicle is reduced, the peak valley load of the power grid is stabilized, and the aging of the transformer is effectively slowed down.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle scheduling optimization, and in particular relates to an electric vehicle charging optimal scheduling method considering the capacity elasticity of transformers. Background technique [0002] More and more electric vehicles connected to the grid charging and distribution system have brought many adverse effects, especially the rapid aging of transformers, which is not conducive to the safe and stable operation of power equipment. For this reason, it is necessary to improve it to overcome the deficiencies in practical application. Contents of the invention [0003] Based on the above-mentioned shortcomings and deficiencies in the prior art, one of the purposes of the present invention is to at least solve one or more of the above-mentioned problems in the prior art. In other words, one of the purposes of the present invention is to provide a One or more electric vehicle charging optimiz...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/32G06Q10/04G06Q10/06G06N3/12G06Q50/06
CPCH02J3/322G06Q10/04G06Q10/06313G06N3/126G06Q50/06H02J2203/20
Inventor 张金江蔡天宇周志强
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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