ABSTRACT:
The
presence of harmonics in solar Photo Voltaic (PV) energy conversion system
results in deterioration of power quality. To address such issue, this paper
aims to investigate the elimination of harmonics in a solar fed cascaded
fifteen level inverter with aid of Proportional Integral (PI), Artificial Neural
Network (ANN) and Fuzzy Logic (FL) based controllers. Unlike other techniques,
the proposed FLC based approach helps in obtaining reduced harmonic distortions
that intend to an enhancement in power quality. In addition to the power
quality improvement, this paper also proposed to provide output voltage
regulation in terms of maintaining voltage and frequency at the inverter output
end in compatible with the grid connection requirements. The simulations are
performed in the MATLAB / Simulink environment for solar fed cascaded 15 level
inverter incorporating PI, ANN and FL based controllers. To exhibit the
proposed technique, a 3 kWp photovoltaic plant coupled to multilevel inverter
is designed and hardware is demonstrated. All the three techniques are
experimentally investigated with the measurement of power quality metrics along with
establishing output voltage regulation.
KEYWORDS:
1. Harmonics
2. Intelligent
Control
3. Multilevel
Inverter
4. Photo
Voltaic’s
5. Power
Quality
6. Voltage
Regulation
SOFTWARE:
MATLAB/SIMULINK
CONCLUSION:
The
voltage regulation topology along with power quality improvement is considered
and implemented both in simulation and experimental setup for a solar fed 15
level inverter. While considering the results, it is found that FLC presents
better results for VR while considering the variations at the input solar PV.
Despite this, FLC is considered for the nine-level by [23], but the
implementation is carried out with the DC power supplies without utilizing the
solar panels. All the other methods are implemented for low power and lesser
levels of MLI topology. Commercial utilization of MLI by providing the constant
output voltage is investigated, and the experimental results prove the effectiveness
of the proposed system. The method is applicable for the users require grid
interaction along with the power quality improvement.
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