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Multi-objective planning method for power grid with wind farm based on improved nsga-ii

A multi-objective planning, wind farm technology, applied in the fields of electrical digital data processing, climate sustainability, instrumentation, etc., can solve problems such as the inability to effectively coordinate the degree of optimization, to enhance global search capabilities, improve convergence, and reduce power The effect of quality

Inactive Publication Date: 2018-09-28
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • 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-objective planning method for power grid with wind farm based on improved nsga-ii
  • Multi-objective planning method for power grid with wind farm based on improved nsga-ii
  • Multi-objective planning method for power grid with wind farm based on improved nsga-ii

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] 101: Construct the output model of the wind farm;

[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: Through the NSGA-II algorithm based on NDX operator, the output model and the objective function, the multi-objective planning of the power grid with wind farms is realized.

[0065] Wherein, the steps in step 104 to realize the multi-objective planning of the power grid including wind farms through the NSGA-II algorithm based on the NDX operator, the output model and the objective function are as follows:

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

[0067] Based on the level of non-inferior solutions and the crowding distance, the individual is screened by a round-robin selection op...

Embodiment 2

[0077] The process of the multi-objective optimization 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 power grids with wind farms based on the accompanying drawings, and combined with experiments to illustrate the feasibility of this method, see the following description for details:

[0078] 201: Construct the output model of the wind farm;

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

[0080]

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

[0082]

[0083] In the formula, Γ represents the gamma function, and μ and σ are the expectation and standard deviation of each wind speed period...

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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 invention relates to the field of grid planning including wind farms, in particular to a fast non-dominated sorting genetic algorithm (NSGA-II) based on an improved elite strategy [1] A multi-objective planning method for power grids with wind farms. Background technique [0002] Due to the increasing installed capacity of wind power 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. It is necessary to consider the power quality of the grid-connected point of the wind turbine in the grid planning of the wind turbine. [0003] At present, there have been many researches on grid planning including wind farms, and great achievements have been made. Literature [2] studies the grid planning with wind farms on the premise of ensuring the optimal grid economy, and uses a probability-based method to effectivel...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
CPCY02B10/30
Inventor 姜惠兰吴玉璋安星王亚微高一武
Owner TIANJIN UNIV
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