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Lightning locating calculation optimization method based on genetic particle swarm mixing

A technology of particle swarm algorithm and optimization method, which is applied in genetic models and complex mathematical operations, etc., can solve problems such as complex lightning wave propagation paths, affecting system positioning calculation accuracy, and large deviation of lightning parameters, so as to improve local convergence speed and overall Strong search ability, global search ability, and high-precision positioning effect

Inactive Publication Date: 2018-01-19
JIANGMEN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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Problems solved by technology

However, there are many problems in this self-optimization technology: when the distribution of the system monitoring power grid reaches a certain scale, the number of detection stations that detect lightning wave signals increases, and the propagation path of lightning waves becomes more complicated, resulting in the introduction of various detection errors in the positioning calculation. Affect the positioning calculation accuracy of the system; using iterative calculation method, the calculation will cause delay during the outbreak of lightning activity, and at the same time, it cannot meet the speed operation requirements of historical data analysis and sorting; using a fixed lightning electromagnetic wave propagation model to calculate lightning current and other parameters will lead to The lightning parameters calculated from different original data combinations have large deviations, and the consistency of the same source cannot be guaranteed

Method used

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  • Lightning locating calculation optimization method based on genetic particle swarm mixing
  • Lightning locating calculation optimization method based on genetic particle swarm mixing
  • Lightning locating calculation optimization method based on genetic particle swarm mixing

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Embodiment 1

[0042] Such as figure 1 Shown is the flow chart of the lightning location calculation optimization method based on genetic particle swarm mixing of the present invention, the calculation optimization method is a hybrid algorithm of particle swarm algorithm and genetic algorithm, including the following steps:

[0043] S1. Preliminary calculation results based on the calculation formula of the geodetic ellipsoid (x 0 ,y 0 ), the range of the solution space is delineated by A radius as x∈[x 0 -A,x 0 +A],y∈[y 0 -A,y 0 +A], and randomly generate solution particles in the demarcated solution space, where the radius of A is 4km-6km;

[0044] S2. After step S1, use the first fitness function to make the particle swarm search for the best fitness function value and the best position of the particle in the x-y two-dimensional space, or use the second fitness function to make the particle swarm use time and Orientation information searches for the best fitness function value and b...

Embodiment 2

[0069] A power transmission line tripping accident occurred on August 27, 2011, tripping time: 15:52:29, B-phase fault, switch tripping, reclosing failure, differential, distance I section protection action, using the original lightning model calculation for this power accident The result is as figure 2 As shown, the original lightning data of the corresponding detection station are as follows image 3 As shown, the lightning occurrence location calculated by the genetic particle swarm optimization algorithm is (119.9234, 30.1331), and the distance between the power line lightning and the two is 267.87m. The line inspection results are: No. 2 tower B (middle) has discharge traces and slight burns on the glass insulator on the side of the small side of the B (middle) tower. ,30.131419444614). The location of the lightning occurrence calculated by the genetic particle swarm optimization algorithm is (119.9234, 30.1331), and the distance between the power line lightning and th...

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Abstract

The invention relates to the technical field of lightning monitoring systems, and more particularly to a lightning locating calculation optimization method based on genetic particle swarm mixing. Theadvantages of simple use and a fast convergence speed of a particle swarm algorithm and the advantage of high global search ability of a genetic algorithm are combined, the characteristic of the fastconvergence speed of the particle swarm algorithm is utilized to carry out optimization of a previous phase to obtain an initial population of a certain evolution degree; then optimization of a latterphase is carried out by the genetic algorithm, a local convergence speed and global search ability of solution calculation in solution space are improved, parameters such as particle swarm speed factors and genetic variation factors can be optimized through a calculation result, and highly efficient and highly precise lightning locating is realized; and problems that lightning parameters calculated and obtained by different original data combinations are larger in deviations and cannot ensure homology consistency can be avoided.

Description

technical field [0001] The present invention relates to the technical field of lightning monitoring systems, and more specifically, to a lightning location calculation optimization method based on genetic particle swarm mixing. Background technique [0002] Lightning is a kind of instantaneous discharge phenomenon that occurs frequently in nature. The effects of strong electric field, strong magnetic field, high current, strong light, strong shock wave and strong electromagnetic radiation accompanied by the discharge process have caused serious damage to power facilities distributed in a wide area. damage, long-term threat to the safe and stable operation of the power grid. With the rapid development of my country's modern interconnected large power grid, the complexity and nonlinearity of the power system are increasing day by day, resulting in that even a small external disturbance may bring unpredictable consequences, and the flashover of the transmission line caused by l...

Claims

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Application Information

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IPC IPC(8): G06N3/12G06F17/15
Inventor 黄练栋伍建炜温健锋
Owner JIANGMEN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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