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Monte Carlo-based simulation method for the dynamic change of the number of electric vehicles controlled by frequency modulation in power system

Inactive Publication Date: 2017-06-16
CHONGQING UNIV +2
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

In China, electric vehicles are still in the early stage of market promotion, the number of electric vehicles is very limited, and there is a lack of actual data as research support, and domestic research on electric vehicles participating in system frequency modulation is rare, and there is a lack of controllable electric vehicles participating in system frequency modulation Research on Algorithm of Quantity Variation

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  • Monte Carlo-based simulation method for the dynamic change of the number of electric vehicles controlled by frequency modulation in power system
  • Monte Carlo-based simulation method for the dynamic change of the number of electric vehicles controlled by frequency modulation in power system
  • Monte Carlo-based simulation method for the dynamic change of the number of electric vehicles controlled by frequency modulation in power system

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Embodiment Construction

[0037] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0038] figure 1 It is a schematic flow chart of the method of the present invention. As shown in the figure, the method includes the following steps: Step 1: Initialize the relevant parameters of electric vehicles; / Out of the controllable state timetable; Step 3: Statistically analyze the timetable to obtain the number N′ of electric vehicles entering the controllable state at each moment in the region in (t i ) and the number of electric vehicles in controllable state N' out (t i ); Step 4: Calculate the cumulative number of vehicles entering / exiting the controllable state; Step 5: Calculate the number of controllable electric vehicles.

[0039] Wherein, in step 2, the Monte Carlo method is used to statistically analyze the data to obtain the controllable state time table of entry / exit of all electric vehicles in the area. The catego...

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Abstract

The invention relates to a Monte Carlo-based method for simulating dynamic changes in the number of electric vehicles controlled by frequency modulation in a power system, and belongs to the technical field of electric vehicles and their access to power grids. The method includes the following steps: Step 1: Initialize the relevant parameters of the electric vehicle; Step 2: Determine the category of the electric vehicle, and determine the controllable state timetable for entering / exiting all electric vehicles according to different categories; Step 3: Statistically analyze the timetable , get the number of electric vehicles in the controllable state N' at each moment in the region in (t i ) and the number of electric vehicles in controllable state N' out (t i ); Step 4: Calculate the cumulative number of vehicles entering / exiting the controllable state; Step 5: Calculate the number of controllable electric vehicles. This method can well calculate the number of controllable electric vehicles in the area, and calculate the dynamic changes of the number of various controllable electric vehicles participating in system frequency modulation. System frequency modulation has laid a solid theoretical foundation.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles and their access to power grids, and relates to a Monte Carlo-based method for simulating dynamic changes in the number of electric vehicles controlled by frequency modulation in a power system. Background technique [0002] Electric vehicle and grid interaction (Vehicle-to-Grid, V2G) technology refers to a new type of technology for electric vehicles to realize two-way exchange of information and energy with the grid under a controlled state. This technology emphasizes that in addition to absorbing energy from the grid, electric vehicle batteries can feed back battery energy to the grid when necessary. V2G system is a high-end comprehensive application system integrating power electronics, communication, dispatching, metering and load demand side management and many other technologies. It embodies the energy storage function of electric vehicle batteries. Using V2G technology, electric...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455
Inventor 张谦周林付志红张淮清李春燕夏维建
Owner CHONGQING UNIV
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