Electric automobile optimization scheduling method based on alternating direction multiplier method

A technology of alternating direction multipliers and electric vehicles, applied in electric vehicles, electric vehicle charging technology, charging stations, etc., can solve the problem of affecting the voltage level of the distribution network, adverse to the development of the distribution network, affecting the battery cycle life, electrode side reactions, etc. performance and other issues, to avoid voltage drops and reduce losses

Active Publication Date: 2019-05-21
LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER +1
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Problems solved by technology

However, the existing research on the scheduling of electric vehicles does not consider both the loss of the battery caused by the large amount of charging of the electric vehicle and the voltage drop caused by the distribution network

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  • Electric automobile optimization scheduling method based on alternating direction multiplier method
  • Electric automobile optimization scheduling method based on alternating direction multiplier method
  • Electric automobile optimization scheduling method based on alternating direction multiplier method

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[0066] The present invention will now be described in further detail in conjunction with the accompanying drawings, and the specific embodiments are as follows.

[0067] In order to verify the feasibility of the method, a distribution network system with 4 feeders is selected for illustration. like figure 1 As shown, the electric vehicle optimal scheduling method based on the alternating direction multiplier method disclosed in this embodiment, the specific implementation steps are as follows:

[0068] Step 1: Establish an electric vehicle charging model considering the capacity constraints of distribution network feeders;

[0069] Define the set of electric vehicles as use and Respectively represent the collection of feeders and nodes in the distribution network, the nodes mentioned are except the root node, use and denote the set of EVs connected to node m and feeder l, respectively. Define a matrix A≡[a lm ] L×M ,in and is the cardinality of the correspond...

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Abstract

The invention discloses an electric automobile optimization scheduling method based on an alternating direction multiplier method and belongs to the field of electric automobile optimization scheduling. The achievement method comprises the following steps of: firstly, establishing an electric automobile charging model considering the feeder capacity constraint of a power distribution network; secondly, establishing a charging scheduling optimization problem considering the feeder capacity constraint; and finally, solving the charging scheduling optimization problem by utilizing an electric automobile optimization scheduling method based on an alternating direction multiplier method to obtain an electric automobile optimal charging scheme, wherein the electric automobile optimal charging scheme cannot influence the voltage level of the power distribution network under the consideration of the benefit of the electric automobile, and peak clipping and valley filling can be achieved through reasonable scheduling of the electric automobile, so that the balanced development of the electric automobile and the power grid is facilitated. The balanced development means that: (1) the loss ofbatteries caused by mass charging of the electric automobile can be reduced; (2) voltage drop of the distribution network caused by mass charging of the electric automobile is avoided.

Description

technical field [0001] The invention belongs to the field of optimal scheduling of electric vehicles, and in particular relates to an optimal scheduling method of electric vehicles based on Alternating Direction Method of Multipliers (ADMM). Background technique [0002] The increase in power demand and the shortage of traditional fossil energy have all prompted the development of the power grid in the direction of intelligence, efficiency and sustainability. Different from the traditional distribution network, the existing active distribution network can actively manage distributed power sources and flexible loads. The continuous growth of flexible loads represented by electric vehicles has brought great challenges to the voltage level, power supply reliability, and power quality of the distribution network. [0003] However, under the control of the incentive mechanism, electric vehicles are very flexible. Through optimal scheduling, peak load shifting and valley filling ...

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Application Information

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IPC IPC(8): B60L53/63B60L53/64G06Q10/04G06Q50/06
CPCY02T10/7072Y02T10/70Y02T90/12Y04S10/50Y02E40/70
Inventor 邵云峰周徐刘永强马中静
Owner LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER
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