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Electric car user charging selecting auxiliary decision-making method taking power transmission congestion into account

An electric vehicle and auxiliary decision-making technology, which is applied in the direction of electric vehicle charging technology, electric vehicles, charging stations, etc., can solve problems such as little consideration of distribution network congestion, driving range anxiety, and limited driving range.

Active Publication Date: 2018-10-23
XIANGTAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above literature mainly considers how to adjust the random load to improve the power quality of the power grid, and rarely considers the congestion problem of the distribution network.
Moreover, there is still a large gap between the performance of electric vehicles and traditional vehicles, including limited driving range, long charging time, and too few charging piles. The problem of "continuous driving mileage anxiety"

Method used

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  • Electric car user charging selecting auxiliary decision-making method taking power transmission congestion into account
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  • Electric car user charging selecting auxiliary decision-making method taking power transmission congestion into account

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Embodiment

[0185] S1. System parameter setting

[0186] The present invention adopts an area composed of 34 distribution network nodes and 36 network nodes for simulation, and the structure is as follows image 3As shown, five charging stations will be built in this area. Read the short-term load forecast curve into the distribution network control center for power flow calculation. It is assumed that the qualified range of node voltage amplitude is [0.9400,1.0600]pu when the distribution network is in normal operation, and the upper limit of active power of the line is 1.0pu. Based on the power flow calculation results, the deviation of node voltage out-of-limit and branch power out-of-limit active power compensation are shown in Table A1 and Table A2 respectively.

[0187] Table A1 The reactive power deviation table corresponding to the node voltage exceeding the limit

[0188]

[0189]

[0190] Table A2 Active power deviation table of branch power exceeding the limit

[0191...

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Abstract

The invention discloses an electric car user charging selecting auxiliary decision-making method taking power transmission congestion into account. The electric car user charging selecting auxiliary decision-making method comprises the following steps that an electric car is judged to have the charging demand; road conditional information of traffic routes from the position where the electric caris located to all alternative charging stations is collected and analyzed; the charging time after the electric car reaches all the alternative charging stations is analyzed and calculated; accordingto the congestion situation of a power distribution network, the power sensitivity is calculated through the power flow, and corresponding guiding electricity price is formulated for all the alternative charging stations; and by combining with the road conditional information, the charging time and the guiding electricity price of the alternative charging stations, a charging selecting comprehensive judgment index system is built by applying an analytic hierarchy process, an entropy weight method and a technique for order preference by similarity to ideal solution, and optimal selecting for electric car user charging is completed. Effective technological means are provided for solving the electric car charging selecting problem, distribution of electric car charging loads is optimized while cost is saved for a user, and stable operation of the power distribution network is facilitated.

Description

technical field [0001] The invention relates to an auxiliary decision-making method for charging selection of an electric vehicle user taking into account transmission congestion. Background technique [0002] With the increasing use of electric vehicles, large-scale electric vehicle charging will have a great impact on the stable operation and planning of the power system, especially when users choose a large number of fast charging methods, which are different from diffusion and low power consumption. Residential charging, this charging method is more suitable for vehicles that require a lot of energy consumption and long-distance travel. Because it requires specific charging facilities, it mainly occurs at fixed commercial charging stations, resulting in the concentration and scale of charging station loads. [0003] Electric vehicle charging selection is a stochastic and dynamic problem, with uncertainty in time and space, and users will make different decisions accordin...

Claims

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Application Information

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IPC IPC(8): B60L11/18
CPCB60L2240/72B60L2260/52B60L53/64Y02T10/70Y02T10/7072Y02T90/12
Inventor 钟颖段斌屈相帅晏寅鑫
Owner XIANGTAN UNIV
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