ABSTRACT:
The PV-Hydro Diesel technology can be made
attractive option because the features various merits like as low maintenance
requirement, environmental friendliness and absence of fuel cost. The
efficiency of energy conversion a PV generation system may low because sun
power cell exhibits to the nonlinear voltage and current and power versus
voltage characteristics. The recent advancements in the technology and the
reduction of fossil fuel resources have further contributed to the cause. But
still, there lies several challenges to it. The paper proposes a novel approach
of hybridization of renewable sources using Maximum Peak Power Transfer
technique and optimal control. The performance of our approach is quite better
than its other counterparts in terms of transient state and the magnitude of
voltage obtained.
KEYWORDS:
1.
MPPT
2.
PV- Hydro - Diesel
3.
Perturb and
observe
Fig.
1: Representing the overall proposed model
Fig.
2 Representing The FFT analysis of the voltage waveform at the load end. when
the FFT analysis of the wave form is done the THD value is found to be 0.17 %.
Fig.3:
The THD of the output
CONCLUSION:
This
paper proposed a novel approach of utilising a New Hybrid Technique approach to
solve the MPPT problem in microgrid consisting of PV-Hydro Diesel cell
connected to a grid using three phase inverter. The solar cell model was
designed and given to boost converter. The converter output was analysed. An
incremental conductance technique was also implemented for comparison purpose.
The result of hybrid model was found to be quite better than the incremental
conductance technique in terms of output voltage magnitude and THD content. The
THD content reduces using our proposed approach. Also when the current is
compared, the oscillations die out very fast in case of hybrid model while in
I&C approach it is more or less sustained. In future this algorithm can be
improved using other techniques and approaches. Also real time implementation
of the algorithms can be done and hardware testing can be done. Hybrid with
other algorithms can be utilised and the performances can be compared. Also clustering
and other gradient learning methods can be utilised and the model can be tested
for grid connection.
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