ABSTRACT:
In this paper, we present a modeling and simulation
of a standalone hybrid energy system which combines two renewable energy
sources, solar and wind, with an intelligent MPPT control based on fuzzy logic
to extract the maximum energy produced by the two PV and Wind systems.
Moreover, other classical MPPT methods were simulated and evaluated to compare
with the FLC method in order to deduce the most efficient in terms of rapidity
and oscillations around the maximum
power point, namely Perturb and Observe (P&O), Incremental Conductance (INC) for the PV
system and Hill Climbing Search (HCS)
for the Wind generator. The simulation results show that the fuzzy logic
technique has a better performance and more efficient compared to other methods
due to its fast response, the good energy efficiency of the PV/Wind system and
low oscillations during different weather conditions.
KEYWORDS:
1.
Hybrid energy system
2.
MPPT
3.
Fuzzy Logic Control (FLC)
4.
Wind system
5.
Photovoltaic system
6.
PMSG
SOFTWARE:
MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.
1. Hybrid energy system architecture.
EXPECTED SIMULATION RESULTS:
Fig.
2. PV generator output power for different MPPT techniques.
Fig.
3. PV generator output voltage for different MPPT techniques.
Fig.
4. Mechanical power of wind turbine for different MPPT techniques.
Fig.
5. Power coefficient (Cp) for different MPPT techniques.
CONCLUSION:
In
this work, an intelligent control based on fuzzy logic is developed to improve
the performance and reliability of a PV/Wind hybrid energy system, also the
implementation of the other conventional MPPT algorithms for compared with the FLC
technique. For a best performance analysis of MPPT techniques on the system,
the simulations are carried out under different operating conditions.
Simulation results show that the fuzzy controller has a better performance
because it allows with a fast response and high accuracy to achieve and track
the maximum power point than the P&O, INC and HCS methods for the PV and
Wind generators respectively.
REFERENCES:
[1]
A.V. Pavan Kumar, A.M. Parimi and K. Uma Rao, “Implementation of MPPT control
using fuzzy logic in solar-wind hybrid power system,” IEEE International
Conference on Signal Processing, Informatics, Communication and Energy Systems
(SPICES), India, 19-21 February, 2015.
[2]
C. Marisarla and K.R. Kumar, “A hybrid wind and solar energy system with battery
energy storage for an isolated system,” International Journal of Engineering
and Innovative Technology, vol. 3, n°3, pp. 99-104, ISSN 2277-3754, September
2013.
[3]
L. Qin and X. Lu, “Matlab/Simulink-based research on maximum power point
tracking of photovoltaic generation,” Physics Procedia, 24, pp.10- 18, 2012.
[4]
B. Bendib, F. Krim, H. Belmili, M. F. Almi and S. Boulouma, “Advanced fuzzy
MPPT controller for a stand-alone PV system,” Energy Procedia, 50, pp.383-392,
2014.
[5]
H. Bounechba, A. Bouzid, K. Nabti and H. Benalla, “Comparison of perturb &
observe and fuzzy logic in maximum power point tracker for pv systems,” Energy
Procedia, 50, pp.677-684, 2014.
