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Energy storage capacity optimization method for electric vehicle charging stations

An energy storage capacity, electric vehicle technology, applied in electric vehicle charging technology, electric vehicles, charging stations, etc., can solve the problem of inability to solve the random demand of electric vehicle charging

Active Publication Date: 2019-02-26
万马联合新能源投资有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the invention is to overcome the shortage that the electric vehicle charging station in the prior art cannot solve the random demand of electric vehicle charging, and to provide a method for optimizing the energy storage capacity of the electric vehicle charging station considering the operation economy and scheduling plan

Method used

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  • Energy storage capacity optimization method for electric vehicle charging stations
  • Energy storage capacity optimization method for electric vehicle charging stations
  • Energy storage capacity optimization method for electric vehicle charging stations

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Embodiment Construction

[0063] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0064] Such as figure 1 The illustrated embodiment is a method for optimizing the energy storage capacity of an electric vehicle charging station, comprising the following steps:

[0065] Step 100, establish battery charging and discharging mathematical model

[0066] Step 110, set the actual charging power P(t) and predicted charging power of the charging station at time t The difference is ΔP(t), and the charging and discharging power of the battery is P ES (t);

[0067]

[0068]

[0069] in, The maximum charging power for the battery, is the maximum discharge power of the battery; if P ES (t)>0, the battery is in charging state at time t; if P ES (t) < 0, the battery is in a discharge state at time t;

[0070] Step 120, setting the battery energy storage capacity at time t-1 and time t as E(t-1) and E(t) respectively;

[00...

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Abstract

The invention discloses an electric vehicle charging station energy storage capacity optimization method, which comprises the following steps of building a charge-discharge mathematic model of a storage battery; building an electric vehicle charging station energy storage capacity optimization decision model of taking the minimum energy storage investment cost and electric vehicle charging station operating cost as target functions and considering constraint conditions of charge-discharge power, energy and the like of the storage battery; and solving the electric vehicle charging station energy storage capacity optimization decision model by use of an improved particle swarm algorithm. The electric vehicle charging station energy storage capacity optimization method has the characteristics that the behavioral characteristic of an electric vehicle and the dispatching and operating economy of a power system are simultaneously considered, and the overall resource allocation of the system is better.

Description

technical field [0001] The invention relates to the technical field of energy storage for electric vehicle charging stations, in particular to a method for optimizing the energy storage capacity of electric vehicle charging stations considering operating economy and scheduling plan. Background technique [0002] Electric vehicles have incomparable advantages over traditional vehicles in terms of energy saving and emission reduction, curbing the greenhouse effect and ensuring national energy security. The ever-increasing battery equipment, charging technology and charging facilities also promote the continuous popularization of electric vehicles. The grid connection of electric vehicles will have a profound impact on the planning and operation of the power system and the operation of the power market. Due to the influence of many factors, the charging load has complex characteristics. As far as a single vehicle is concerned, it is mainly determined by the user's travel need...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H01M10/44B60L50/60
CPCB60L53/64H01M10/441Y02E60/10Y02T10/70Y02T10/7072Y02T90/12
Inventor 何若虚
Owner 万马联合新能源投资有限公司