Multi-target planning method for power grid of wind farms based on improved NSGA-II

A multi-objective planning, wind farm technology, applied in the direction of instruments, sustainable buildings, data processing applications, etc., can solve the problems of ineffective coordination of optimization degree, etc., to achieve enhanced global search capabilities, improved convergence, and reasonable optimization results Effect

Inactive Publication Date: 2015-08-26
TIANJIN UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) Traditional algorithms generally only get one solution, but multi-objective power grid planning problems including wind farms often have a non-dominated solution set that requires users to make decisions according to different conditions;
[0006] (2) After the traditional algorithm converts the multi-objective optimization problem into a single-objective optimization problem, it often cannot effectively coordinate the optimization degree of each objective in the grid planning including wind farms;
[0007] (3) Since the weights of each objective function in the traditional algorithm are artificially specified and have great subjectivity, in the grid planning including wind farms, the traditional optimization algorithm is not conducive to decision makers to make reasonable decisions according to the actual situation

Method used

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  • Multi-target planning method for power grid of wind farms based on improved NSGA-II
  • Multi-target planning method for power grid of wind farms based on improved NSGA-II
  • Multi-target planning method for power grid of wind farms based on improved NSGA-II

Examples

Experimental program
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Effect test

Embodiment 1

[0061] 101: Construct a wind farm output model;

[0062] 102: Calculate the flicker value caused by the wind turbine at the common connection point;

[0063] 103: Construct the objective function with the shortest total length of the line and the smallest flicker value at the public access point of the wind farm;

[0064] 104: Achieve multi-objective planning for power grids containing wind farms through the NSGA-II algorithm, output model and objective function based on the NDX operator.

[0065] Among them, in step 104, the steps of achieving multi-objective planning of the power grid containing wind farms through the NDX operator-based NSGA-II algorithm, output model, and objective function are specifically:

[0066] Probabilistic power flow analysis through DC power flow calculation and constraint conditions;

[0067] Based on the non-inferior solution level and the crowded distance, the round selection operator is used to screen individuals;

[0068] The selected individuals are cros...

Embodiment 2

[0077] The multi-objective optimization process of the improved NSGA-II algorithm based on the NDX operator designed by the present invention is as follows figure 1 As shown, the following is a detailed description of the improved NSGA-II-based multi-objective planning method for wind power grids containing wind farms in conjunction with the accompanying drawings, and the feasibility of this method is illustrated in conjunction with experiments. See the following description for details:

[0078] 201: Construct a wind farm output model;

[0079] The wind speed adopts Weibull distribution, and its function is described in formula (6):

[0080] f ( v ) = k c ( v c ) k - 1 exp [ - ( v c ) k ] - - - ( 6 )

[0081] In the formula, v represents the wind speed, and c and k are the scale parameters and shape parameters of the Weibull distribution respectively, which can be solved by formula (7):

[0082] c = ...

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Abstract

The invention discloses a multi-target planning method for power grids of wind farms based on improved NSGA-II. The multi-target planning method includes the steps of building an output force model of the wind farms, calculating the flicker value of a wind turbine generator system at a common connection point, creating a target function with shortest line length and minimal flicker value of a wind farm at a common access point, and realizing multi-target planning of the power grid of the wind farm based on NSGA-II algorithm of NDX operators, the output force model and the target function. The multi-target planning method overcome the defects of subjectivity of conventional multi-target optimization and obtaining one solution in one time, enhances overall searching capability than routine NSGA-II algorithm, and improves convergence.

Description

Technical field [0001] The present invention relates to the field of power grid planning including wind farms, in particular to a fast non-dominated sorting genetic algorithm (NSGA-II) based on an improved band elite strategy [1] A multi-objective planning method for power grids containing wind farms. Background technique [0002] As the installed capacity of wind power increases year by year, as well as the randomness of wind speed and the operating characteristics of wind turbines, the grid connection of wind farms will inevitably cause a series of power quality problems. The grid hopes that wind turbines have good power quality. It is necessary for wind turbine grid planning to consider the power quality of the wind turbine grid connection point. [0003] At present, many researches on power grid planning including wind farms have also achieved great results. Literature [2] studies the grid planning with wind farms on the premise of ensuring optimal grid economy, and uses proba...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCY02B10/30
Inventor 姜惠兰吴玉璋安星王亚微高一武
Owner TIANJIN UNIV
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