Abstract
This paper describes the work performed on a single phase 9-level cascaded H-Bridge multilevel inverter (CHB-MLI) for photovoltaic (PV) power generation, using two methods of maximum power point tracking (MPPT)—namely fuzzy logic controller (FLC) and perturbation & observation (P&O). The MPPT scheme is used to extract maximum power from solar PV cells. PV cell temperature and solar irradiation are input quantities and the two used methods estimate the optimum duty cycle to ensure DC-DC boost converter maximum output. This paper also compares the results obtained by the work performed on CHB-MLI with DC-DC boost converter using FLC based MPPT controller to that of results obtained with the conventional P&O method. The fuzzy logic controller works with imprecise inputs, it does not need an accurate mathematical model and it can handle nonlinearity well. Besides, fuzzy is more robust as compared to the conventional non-linear controller. The genetic algorithm (GA) based Selective Harmonic Elimination (SHE) technique is also applied to CHB-MLI for the elimination of harmonics from the output voltage. In the work reported in this paper on PV inverter making use of the Fuzzy MPPT technique, the obtained total harmonic distortion (THD) of the output voltage without filter circuit and with filter circuit are within IEEE standard 519.
Highlights
In recent years, renewable energy sources have emerged as a major alternative to conventional sources of energy
PV power using maximum power point tracking (MPPT) methods, this paper addresses the issues of requirement of individual MPPT to solve mismatch issues of PV panels and in doing so a control scheme with intelligent MPPT (FLC) is proposed
Each solar panel is connected to a separately DC-DC boost converter in order to evaluate the performance of the perturbation & observation (P&O) and fuzzy logic controller (FLC) MPPTs under changing temperature and irradiation
Summary
Renewable energy sources have emerged as a major alternative to conventional sources of energy. Voltage output obtained from PV arrays is considerably less as compared to the voltage rating of most other networks, a DC-DC boost converter is used to improve the voltage output of PV cells. An intelligent control method fuzzy logic controller (FLC) is applied to maximum power point tracking (MPPT) controller to control the duty cycle of DC-DC boost converter and the obtained results are compared with those of the conventional perturbation & observation (P&O). Diode clamped (neutral point inverter) needs more number of diodes and the number of capacitors required is more in the flying capacitor inverter because of voltage balancing
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