scholarly journals Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro-Grid

2014 ◽  
Vol 02 (04) ◽  
pp. 271-279
Author(s):  
Ying Zhang ◽  
Yufeng Gong ◽  
Junyu Chen ◽  
Jing Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Harmonic Suppression ◽  
Swarm Optimization ◽  
Suppression Method ◽  
Micro Grid

A Superfluous Force Suppression Method Based on Structure Invariance Principle with Particle Swarm Optimization Algorithm

2012 ◽  
Vol 430-432 ◽  
pp. 1877-1880 ◽  
Author(s):  
Guo Zhe Zhou ◽  
Dong Guo ◽  
Xiao Ye Qi
Keyword(s):  
Particle Swarm Optimization ◽  
Invariance Principle ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Experimental Result ◽  
Swarm Optimization ◽  
Suppression Method ◽  
Load Simulator ◽  
The Mathematical Model

The key technology of load simulator is superfluous force suppression. This article uses a compensation method of structure invariance principle to solve the problem of superfluous force. Intelligent Particle Swarm Optimization algorithm based on the experimental data is used to identify parameters of the system so as to establish the mathematical model of which simulation result is consistent with the experimental result, and design a compensator based on this model to achieve the purpose using structure invariance principle to eliminate superfluous force.

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