A probability method for quantitative evaluation of electric vehicle acceptance capability of a power distribution network

An electric vehicle, quantitative evaluation technology, applied in data processing applications, instruments, calculations, etc., can solve the problem of inability to take into account the uncertainty of the charging delay of electric vehicles, the inability to accurately analyze the impact of the load fluctuation capacity of the power grid, the lack of global representation, etc.

Active Publication Date: 2019-05-17
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +5
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Problems solved by technology

Most of the existing methods use the method of Monte Carlo simulation to generate the uncertain charging demand of electric vehicles. This method tends to lack global representativeness when generating random samples, and cannot take into account charging delays, etc. to charge electric vehicles. The impact of demand uncertainty...

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  • A probability method for quantitative evaluation of electric vehicle acceptance capability of a power distribution network
  • A probability method for quantitative evaluation of electric vehicle acceptance capability of a power distribution network
  • A probability method for quantitative evaluation of electric vehicle acceptance capability of a power distribution network

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Embodiment

[0123] A 33-node power distribution system such as figure 2 As shown, the system load curve is as Figure 3-5 shown. The line voltage reference value of the system is 12.66kV, the lower limit of the node voltage constraint is 0.90UN, the upper limit of the node voltage is 1.10UN, and UN represents the rated value of the node voltage. The system is connected to electric vehicles at nodes 17 and 27. The parameters of the electric vehicles are shown in the table 1.

[0124]

[0125] Table 1 Electric Vehicle Parameters

[0126] Calculation example Given substation voltages are: 1.00UN, 1.025UN, 1.05UN, the confidence levels are 0.10, 0.15, respectively, according to the present invention to analyze the receiving capacity of the distribution network at t=17, t=18.

[0127] After calculation, the distribution network’s ability to accept electric vehicles is shown in Table 2. Comparing the acceptance capabilities of different substation voltages, different confidence levels, d...

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Abstract

The invention discloses a probability method for the quantitative evaluation of the electric vehicle acceptance capability of a power distribution network, and the method comprises the steps of establishing a power distribution network node load semi-invariant and an electric vehicle charging demand semi-invariant through median Latin hypercube sampling, and analyzing the acceptance capability ofthe power distribution network at a given confidence level by utilizing a probability power flow method. The method has the advantages of high calculation efficiency, high simulation precision and high practicability, and is suitable for analyzing the acceptance capability of the power distribution network under the condition of large-scale electric vehicle access.

Description

technical field [0001] The invention relates to a probability method for quantitative evaluation of electric vehicle acceptance capacity of a distribution network, and belongs to the technical field of distribution network acceptance of electric vehicles. Background technique [0002] At present, electric vehicles have become a new direction for the development of the automobile industry due to their advantages of energy saving, environmental protection and low noise. Most electric vehicles will be directly connected to the distribution network for charging. Due to the uncertainty of the charging load of electric vehicles, a large number of electric vehicles The connection of automobiles to the power grid will bring new impacts to the safe and stable operation of the power grid. These impacts include: distribution network node voltage limit, branch current limit, transformer overload, etc. Among them, the voltage limit is the most serious impact of electric vehicle charging ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCY04S10/50
Inventor 潘志新王建明王守相李春蔡声霞陈兵朱卫平刘利国方鑫吴楠袁晓冬史明明孙健杨雄
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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