Grid-structure-rigidity-based centralized converter station site selection constant-volume method

Abstract

The invention relates to a grid-structure-rigidity-based centralized converter station site selection constant-volume method. The method comprises: S1, calculating a daily total battery conversion demand of electric vehicles in a planned area; S2, calculating a power supply torque index of an urban power grid and carrying out quantitative evaluation on the time-space shifting characteristics of anurban daily power load; S3, constructing a power grid torque balance index of an urban power grid, adjusting the power grid torque balance index to realize minimization, thereby improving the rigidity of the grid structure and obtaining a comprehensive evaluation index of the grid structure rigidity; S4, construct a double-layer multi-target planning model including an upper planning model and alower planning model and determining a constant volume of site selection of a centralized converter station. Therefore, the basic demand of the conversion of the electric vehicles in the area is satisfied; and with utilization of the energy storage property of the centralized converter station for the urban transmission network, overall structural rigidity of the power grid as well as the operation reliability of the grid is improved.

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...

AI Technical Summary

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

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