In this paper, a novel particle swarm optimization (PSO) technique is proposed to tune the proportional-integral (PI) controller gain parameters for enhancing the dynamic performance of the shunt active power filter (APF). The shunt APFs are well established filter to compensate current harmonics, reactive power to maintain the power factor unity. The compensation is highly influenced by the DC-link voltage regulation.
Improved dynamic performance of shunt active power filter using particle swarm optimization
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Improved Dynamic Performance of Shunt Active Power
Filter Using Particle Swarm Optimization
ABSTRACT
In this paper, a novel particle swarm optimization (PSO) technique is proposed to tune the
proportional-integral (PI) controller gain parameters for enhancing the dynamic performance of
the shunt active power filter (APF). The shunt APFs are well established filter to compensate
current harmonics, reactive power to maintain the power factor unity. The compensation is
highly influenced by the DC-link voltage regulation. The calculated PI controller gain
parameters conventionally, are giving satisfactory results under steady state condition of the
load. However, tuning of the PI controller parameters under fast changing loads are very
difficult. To improve the dynamic performance of the system and optimize the gain parameters
of the PI controller, a PSO technique is proposed. The modified p-q theory uses a composite
observer filter to extract fundamental component of voltage from the distorted supply voltage for
the further process of calculating reference current. A complete comparison of conventional and
PSO based PI controller gain tuning have been simulated using MATLAB® Simulink software
under different supply voltage and load condition of the system. The results show that the
dynamic response is improved with PSO based PI tuning compared to conventional PI tuning.
KEYWORDS
1. Shunt Active power filters (SAPF)
2. PI controller
3. Particle swarm optimization (PSO)
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SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig. 1 Optimal design of PI controller gain values using PSO
EXPECTED SIMULATION RESULTS
Fig. 2. Performance of modified p-q control technique under available supply voltage
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Fig. 3 FFT analysis of phase a source current under distorted supply voltage
Fig. 4 Simulation results under distorted supply voltage with RC-load
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Fig. 5 Harmonic spectrum of phase-a source current after Compensation
Fig. 6 Simulation dynamic performance of the shunt APF
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Fig.7 Tuning of PI controller: (a) conventional PI method (b) using PSO technique
CONCLUSION
The performance of the proposed PSO based modified p-q theory has been designed for different
types of loads and supply voltage conditions. The modified composite observer filter is an
extracted fundamental frequency component of voltage from distorted supply without phase
delay which further processed in the calculation of the reference current. The comparison of
conventional PI tuning and PSO based tuning is tested for dynamic condition of the load. The
proposed control scheme is modelled in MATLAB simulink environment. The simulation results
show that the PSO based tuning provide less overshoot, ripples in the DC-link voltage and lesser
settling time as compared to convention PI tuning.
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[5] N. Gupta, S. P. Singh and S. P. Dubey “Neural network based shunt active filter for harmonic
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