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Electric vehicle charging station capacity evaluation method based on multi-parameter planning

A technology of electric vehicle and capacity evaluation model, applied in the field of electric power system, can solve problems such as inability to reflect the connection of charging stations, uneven charging load, etc., and achieve good visualization and good decision support effects

Pending Publication Date: 2022-02-18
GUANGXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing research is mainly to evaluate the capacity of distribution network to accept electric vehicles, and the number of electric vehicles that can be accepted by distribution network is used as the evaluation standard. However, due to the variety of electric vehicles and the uneven charging load, this gives The evaluation results have a large impact, and the results do not reflect the connection between charging stations

Method used

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  • Electric vehicle charging station capacity evaluation method based on multi-parameter planning
  • Electric vehicle charging station capacity evaluation method based on multi-parameter planning
  • Electric vehicle charging station capacity evaluation method based on multi-parameter planning

Examples

Experimental program
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Effect test

Embodiment 1

[0047] A method for evaluating the capacity of electric vehicle charging stations based on multi-parameter planning, including the following steps:

[0048] 1) Obtain the basic data of the distribution network system connected to the electric vehicle charging station;

[0049] The basic data of the distribution network system includes electric vehicle charging stations, number of generators, rated capacity of generators, topology of the distribution network system, node voltage range, transmission power range and daily load curve.

[0050] 2) Establish a charging station capacity evaluation model based on the linearized optimal power flow model of the distribution network;

[0051] The objective function of the charging station capacity evaluation model based on distribution network linearization optimal power flow is as follows:

[0052] maxΣP Ei (t) (1)

[0053] In the formula, P Ei (t) represents the available capacity of charging station i at time period t.

[0054] T...

Embodiment 2

[0079] A method for evaluating the capacity of electric vehicle charging stations based on multi-parameter planning, including the following steps:

[0080] 1) Obtain the basic data of the distribution network system connected to the electric vehicle charging station. The basic data of the distribution network system include the number and rated capacity of electric vehicle charging stations, generators, topology of the distribution network system, node voltage range, transmission power range and daily load curve.

[0081] 2) Establish a capacity assessment model for electric vehicle charging stations based on the linearized optimal power flow model of the distribution network.

[0082] The objective function of the charging station capacity evaluation model based on the distribution network linearization optimal power flow model is as follows:

[0083] max∑P Ei (t) (1)

[0084] where P Ei (t) represents the available capacity of charging station i at time period t.

[00...

Embodiment 3

[0106] The verification test of the evaluation method of electric vehicle charging station capacity based on multi-parameter programming includes the following steps:

[0107] 1) Basic data preparation: use the improved IEEE-33 node distribution network test system for simulation calculations, and keep the original system line structure parameters unchanged, such as figure 1 shown. The base load of the example system is 3775kW+2300kvar, and the base power is 100MW. Electric vehicle charging stations are located at nodes 10, 22, and 28, and the basic parameters are shown in Table 1. The three generating sets are located at nodes 1, 18, and 33 respectively. The basic parameters are shown in Table 2, and Table 3 shows the line parameters of the IEEE-33 node system. like figure 2Typical daily load curves are shown. The voltage range is 0.9-1.1p.u. The maximum power transmitted by the line is 3MW.

[0108] Table 1 Capacity parameters of charging station

[0109]

[0110]...

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Abstract

The invention discloses an electric vehicle charging station capacity evaluation method based on multi-parameter planning. The method comprises the following steps: 1) obtaining basic data of a power distribution network system connected to an electric vehicle charging station; 2) establishing a charging station capacity evaluation model based on a power distribution network linearization optimal power flow model; 3) establishing a capacity evaluation improvement model based on multi-parameter planning; and 4) solving the capacity evaluation improved model based on multi-parameter planning to obtain a feasible region of the available capacity of the charging station. The charging station capacity evaluation model based on the linearized optimal power flow of the power distribution network, constructed by the invention, more accurately evaluates the available capacity of the charging station in operation.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a method for evaluating the capacity of electric vehicle charging stations based on multi-parameter programming. Background technique [0002] The charging load power generated by the disorderly charging behavior of large-scale electric vehicles has brought great challenges to the supply and demand balance of the distribution network, including increasing the peak value of the load curve, affecting the stability of the distribution network, reducing the power quality of the distribution network, Increase the burden of relay protection and increase network loss, etc. As an intermediary between electric vehicles and the distribution network, the electric vehicle charging station can accurately evaluate the feasible region of the available capacity of the charging station to help guide the charging of electric vehicles, provide strong support for charging scheduling decisions, and ensur...

Claims

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Application Information

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IPC IPC(8): H02J3/06H02J3/46H02J3/14G06Q50/06
CPCH02J3/06H02J3/466H02J3/144G06Q50/06H02J2203/10H02J2203/20H02J2300/40Y02E40/70Y02B70/3225Y02T90/167Y04S10/50Y04S20/222Y04S30/12
Inventor 代伟覃相华王城赵静怡张冬冬武新章
Owner GUANGXI UNIV
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