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A method for site selection and capacity determination of centralized power-swapping power stations based on the robustness of power grid structure

A technology for power grid structure and power station replacement, applied in data processing applications, instruments, calculations, etc., can solve problems such as increased risk of grid failure, increased overall load fluctuations in urban power grids, and difficulties for grid operators to achieve unified scheduling and management of charging access. Achieve the effect of improving the reliability of power grid operation and improving the overall structure of the power grid

Active Publication Date: 2021-11-02
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Problems solved by technology

[0003] At present, most of the research on electric vehicle charging strategy still focuses on the V2G charging mode, which is easily affected by the randomness of electric vehicle charging time and spatial distribution in estimating the charging demand of electric vehicles. inaccurate match problem
In addition, due to the unpredictability of electric vehicle charging demand, it is difficult for grid operators to achieve unified scheduling and management of charging access. The grid connection of these additional uncontrollable loads will inevitably increase the overall load fluctuation in the normal operation of the urban power grid.
Especially when the access time of these charging loads coincides with the peak stage of the grid's regular load level, it is easier to increase the risk of grid failure.
[0004] The use of battery replacement technology in the B2G charging mode can effectively separate the time and space randomness of electric vehicle charging requirements from the real-time charging capabilities of centralized battery swapping stations, which also leads to regional electric vehicle battery replacement demand There is a big difference between the analysis method and the analysis method in the V2G charging mode
The existing charging station planning method in the V2G mode is not suitable for the planning of the centralized battery swapping station in the B2G mode

Method used

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  • A method for site selection and capacity determination of centralized power-swapping power stations based on the robustness of power grid structure
  • A method for site selection and capacity determination of centralized power-swapping power stations based on the robustness of power grid structure
  • A method for site selection and capacity determination of centralized power-swapping power stations based on the robustness of power grid structure

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Embodiment Construction

[0060] The following combination figure 1 , the technical content, structural features, achieved goals and effects of the present invention will be described in detail through preferred embodiments.

[0061] Such as figure 1 As shown, the method for selecting the location and capacity of the centralized power-swapping station based on the strength of the grid structure provided by the present invention includes the following steps:

[0062] S1. Calculate the total daily battery replacement demand of electric vehicles in the planning area;

[0063] S2. According to the real-time power flow of each power source-load in the city and the length of each path in the power supply path set, calculate the power supply moment index of the urban power grid, and quantitatively evaluate the transfer time and space characteristics of the urban daily power load;

[0064] S3. Construct the power supply moment balance index of the urban power grid, which is used to represent the deviation le...

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Abstract

The present invention relates to a method for selecting the location and capacity of a centralized battery-swapping power station based on the robustness of the grid structure, including: S1, calculating the total daily battery-swapping demand of electric vehicles in the planned area; S2, calculating the power supply moment index of the urban grid, Quantitatively evaluate the spatio-temporal characteristics of urban daily power load transfer; S3, construct the power supply moment balance index of the urban power grid, minimize the power supply moment balance index by adjusting the power supply moment balance index, and improve the strength of the power grid structure to obtain the strength of the power grid structure Comprehensive evaluation index; S4. Construct a two-layer multi-objective planning model, including an upper-level planning model and a lower-level planning model, and determine the fixed capacity of the site selection of the centralized power-swapping station. The invention can not only meet the basic needs of electric vehicles in the region, but also improve the strength of the overall structure of the grid and improve the reliability of the grid operation by utilizing the energy storage properties of the centralized swap station for the urban transmission grid.

Description

technical field [0001] The invention relates to a site selection and capacity determination method for a centralized power exchange station, and specifically refers to a site selection and capacity determination method for a centralized power exchange station based on consideration of the rigidity of the grid structure. Background technique [0002] In the prior art, the charging modes of electric vehicles are mainly divided into three categories, namely slow charging mode, fast charging mode and battery replacement mode. The first two are generally referred to as the V2G (Vehicle to Grid) charging mode, while the technology that uses battery replacement and is connected to the grid by the power station to complete charging is called the B2G (Battery to Grid) charging mode. [0003] At present, most of the research on electric vehicle charging strategy still focuses on the V2G charging mode, which is easily affected by the randomness of electric vehicle charging time and spa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0637G06Q10/06393G06Q50/06
Inventor 潘智俊陈东张麟顾黎强沈健张晋罗雯清奚曹明郦鹤松周廉钧
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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