الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
One of the main objectives of this work is to achieve optimal sizing of a stand-
alone PV system to cover a load and achieving the optimal cost of the overall
system.
The proposed analysis is based on developing a mathematical model of the PV
system includes PV array, batteries, battery chargers, controllers and inverters.
Two proposed objective functions are developed; the first one is the PV module
output power which is required to be maximized. Then, after the maximum power
is expressed the corresponding optimal tilt angle of the module can be obtained.
Two different optimization techniques are used to solve the problem; Lagrange
Multiplier Algorithm and Genetic Algorithm (GA). The results of both methods
are compared and show that the GA is better than Lagrange Multiplier in so.lving
the concerned problem. The analysis is performed for a selected day and complete
month for different types ofPV modules.
So we can summarized the proposed constrained optimization problem 111 the
following steps:
Identifying the PV system dummy variables and classifying them into
two main categories; independent and dependant variables.
Constructing a proposed objective function represents the PV output
power based on the independent and dependant variables.
Constructing the proposed constraints either equality or inequality that
control the operation of the PV module.
4. Solving the constrained optimization problem.
Maximum Power Point Tracking (MPPT) based on Fuzzy Logic Control (FLC)
and Adaptive Neuro Fuzzy Inference System (ANFIS) is simulated and compared