Adaptive PI controller of active power filter for compensation of harmonics and voltage fluctuation based on particle swarm optimization (PSO)

2018 ◽  
Author(s):  
Rinat R. Nasyrov ◽  
Raseel I. Aljendy ◽  
Ahmed A. Zaki Diab
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Active Power Filter ◽  
Pi Controller ◽  
Active Power ◽  
Voltage Fluctuation ◽  
Swarm Optimization ◽  
Power Filter

scholarly journals Evaluation of the Shunt Active Power Filter apparent power ratio using particle swarm optimization

2010 ◽  
Vol 20 (1) ◽  
pp. 47-76 ◽  
Author(s):  
A. Kouzou ◽  
M. Mahmoudi ◽  
M. Boucherit
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Particle Swarm ◽  
Active Power Filter ◽  
Active Power ◽  
Power Ratio ◽  
Nonlinear Load ◽  
Swarm Optimization ◽  
Shunt Active Power Filter ◽  
Power Filter

Evaluation of the Shunt Active Power Filter apparent power ratio using particle swarm optimizationThe main objective of this present paper is the study of the Shunt Active Power Filter (APF) compensations capability for different perturbations in AC power system such as current unbalance, phase shift current and undesired harmonics generated by nonlinear load and/or by the power system voltage. This capability is determined by the maximum rate of the apparent power that can be delivered. This study is based on the definition of the effective apparent power as defined in IEEE 1459-2000 which was proved to be the suitable amount to be concerned in the design process of different devices.

scholarly journals Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Sushree Sangita Patnaik ◽  
Anup Kumar Panda
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Particle Swarm ◽  
Active Power Filter ◽  
Active Power ◽  
Bacterial Foraging Optimization ◽  
Swarm Optimization ◽  
Power Filter ◽  
Bacterial Foraging ◽  
Source Current

Conventional mathematical modeling-based approaches are incompetent to solve the electrical power quality problems, as the power system network represents highly nonlinear, nonstationary, complex system that involves large number of inequality constraints. In order to overcome the various difficulties encountered in power system such as harmonic current, unbalanced source current, reactive power burden, active power filter (APF) emerged as a potential solution. This paper proposes the implementation of particle swarm optimization (PSO) and bacterial foraging optimization (BFO) algorithms which are intended for optimal harmonic compensation by minimizing the undesirable losses occurring inside the APF itself. The efficiency and effectiveness of the implementation of two approaches are compared for two different conditions of supply. The total harmonic distortion (THD) in the source current which is a measure of APF performance is reduced drastically to nearly 1% by employing BFO. The results demonstrate that BFO outperforms the conventional and PSO-based approaches by ensuring excellent functionality of APF and quick prevail over harmonics in the source current even under unbalanced supply.

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