Abstract:
Photovoltaic systems are essential for producing low-cost electricity, but they
can impact power quality due to non-linear loads, load imbalance, and harmonics.
These issues can lead to device deterioration, affecting energy quality and
performance. Photovoltaic systems are rapidly expanding annually and are quickly
becoming an essential component of the energy balance in most regions and energy
systems.
The critical function of solar energy management systems in solar PV
deployment is to use the maximum power point tracking (MPPT) strategy.
Accordingly, this thesis simulates the use of solar energy obtained from photovoltaic
panels connected to the grid via converters and its operation at maximum power using
Perturb & Observe (P&O) and Incremental Conductance (IC), and Fuzzy Logic (FL)
control algorithms controlled by an MPPT.
A PV system that generates 250 kW and is connected to a grid needs 10 KV to
be designed and simulated. Several components of the PV system such as solar panels,
DC-DC converters, DC-AC inverters, and three-phase power grids were used to
optimize performance and ensure the operation of the system in the presence of
multiple components using MATLAB/ Simulink as a complete simulation study.
The objective is to increase the PV system's power efficiency. The numerical
and electrical equations for the design have been presented. Grid-tied inverters with
different types of maximum power point tracking systems (MPPT), voltage and
current regulators, pulse width modulation (PWM), and phase lock loop (PLL) circuits
have all been debated.
