COMPARATIVE STUDY OF DIFFERENT MPPT ALGORITHMS ON 250KW GRID-CONNECTED PV SYSTEM

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.