ABSTRACT:
A grid interactive photovoltaic generation system is
developed in this work. A boost converter forms the initial stage and is used
to obtain the maximum power from the PV array. It is controlled using an
incremental conductance (INC) based algorithm. The second stage is a voltage
source converter (VSC), which interfaces the PV system to the grid. A recurrent
neurocontrol based algorithm is used to generate the switching pulses for the VSC.
The solar energy conversion system (SECS) has the capabilities of harmonics
reduction, reactive power compensation, unity power factor operation and grid currents
balancing. The proposed system is validated under various operating conditions
using simulation as well as experimental results.
KEYWORDS:
1.
Recurrent neurocontroller
2.
Solar Energy
3.
Conversion System
4.
Power Quality
5.
Incremental Conductance Based MPPT
SOFTWARE:
MATLAB/SIMULINK
CONCLUSION:
The
recurrent neuro control based control algorithm has been successfully
implemented for a two stage solar energy conversion system. The first stage
involves extracting the maximum available power from the PV generation system using
a boost converter operated by INC based control. The performance of the
recurrent neurocontrol based control algorithm is validated under various
operating conditions, using simulation as well as experimental results. The
SECS has provided reactive power compensation and exhibited fast response under
dynamic conditions of sudden load variation and sudden insolation variation,
and maintains the grid current THD within IEEE 519 standard.
REFERENCES:
[1]
S. Bhattacharjee: Solar Electricity Generation, Narosa Publishing House, New
Delhi, 2015.
[2]
H. Tyagi, A. K. Agarwal, P.R. Chakraborty and S. Powar: Applications of Solar
Energy, Springer Singapore, 2018.
[3]
S. Kumar and B. Singh, “Seamless transition of three phase microgrid with load
compensation capabilities,” IEEE Industry Applications Society Annual
Meeting, Cincinnati, OH, pp. 1-9, 2017.
[4]
C. C. Hua and Y. M. Chen, “Modified perturb and observe MPPT with zero
oscillation in steady-state for PV systems under partial shaded conditions,” IEEE
Conference on Energy Conversion (CENCON), Kuala Lumpur, Malaysia, pp. 5-9,
2017.
[5]
Z. Xuesong, S. Daichun, M. Youjie and C. Deshu, “The simulation and design for
MPPT of PV system Based on Incremental Conductance Method,” WASE International
Conference on Information Engineering, Beidaihe, Hebei, pp. 314-317, 2010.
