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. Photovoltaic'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.
REFERENCES:
[1]
S. Karekezi and T. Ranja, Renewable technologies in Africa. London,
U.K.: Zed Books, 1997.
[2]
S. Karekezi and W. Kithyoma, ``Renewable energy strategies for rural africa: Is
a PV-led renewable energy strategy the right approach for providing modern
energy to the rural poor of sub-saharan africa?'' Energy Policy, vol.
30, nos. 11_12, pp. 1071_1086, Sep. 2002.
[3]
S. Karekezi andW. Kithyoma, ``Renewable energy in Africa: Prospects and limits
in Renewable energy development,'' Workshop Afr. Energy Experts Operationalizing
NEPAD Energy Initiative, vol. 1, pp. 1_30, 2-4 Jun. 2003. Jun. 2017.
[Online]. Available: https://sustainabledevelopment.un.
org/content/documents/nepadkarekezi.pdf
[4]
D.-R. Thiam, ``Renewable decentralized in developing countries: Appraisal from
microgrids project in senegal,'' Renew. Energy, vol. 35, no. 8, pp.
1615_1623, Aug. 2010.
[5]
F. Christoph, World Energy Scenarios: Composing energy futures to 2050. London,
U.K.: World Energy Council, 2013.