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Research Article

JCR. 2020; 7(15): 6311-6318


HYBRID OPTIMIZATION MODEL FOR SOLAR WIND POWER SYSTEMS USING FUZZY LOGIC CONTROL

S. Vijayaraju, N. Chaitanya, K. Radha Rani.

Abstract
This paper proposes a hybrid optimization model for solar wind systems using fuzzy logic
control. A feasible hybrid optimization model for renewable energy sources using HOMER software is analyzed
in this paper. A hybrid power generation system with an optimal configuration of different loads such as solar,
wind power systems and fuzzy logic control based ac loads is introduced in this paper for an efficient utilization
even in the remote areas. The maximum rate of power can be generated by using Perturb & Observe (P&O)
algorithm in the solar photovoltaic system as control logic for the Maximum Power Point Tracking (MPPT)
controller and uses a Hill Climb Search (HCS) algorithm in the Wind power system as MPPT control logic. The
AC supply load voltages and frequencies can be kept at a constant level by implementing the Hybrid Fuzzy
logic control based inverter in spite of changes during ordinary circumstances and load. The proposed hybrid
system using a hybrid fuzzy controller is developed and simulated on a MATLAB. Furthermore, the
mathematical model can also be implemented in MATLAB to carry out the desired loss of power supply
probability (LPSP) for a set of system components with the lowest value of the cost function, which is defined
in terms of reliability and levelized unit electricity cost (LIGHT) and finally implemented an optimal
configuration for a given load.

Key words: Renewable energy, hybrid optimization model for electric renewable, Hybrid Fuzzy controller, Perturb & Observe (P&O) algorithm



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