No abstract

Abs(rQct--Slmulation of a multilevel Inverter for hip,h powrr appllcnllons employing a I'WM unll)olar symmetrical regular �amJlled technique based 011 n single cnrrler llIultllevel mod ulation strategy Is presented In this pnper. The eq uatiolls related to this technique nrc uscd to design the gate slgnnl generator blocks using Matlab's Simulink. These blocks generate the gate Signals for each of the multilevel inverter power devices and can later be com l lilcd and downloaded to a dSPACE DSP controller board for real time digital Imillemcntation. The gate signal generator blocks arc tested for various values of modulation index. The results of the simulation study nrc shown In the form of the PWM waveforms of the multilevel Inverter modules as well as the gate signals for its power devIces for comparison purposes.

In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns. Based on one-minute time interval meteorological data taken in Pekan, Pahang, West Malaysia, the Monte Carlo-Beta probability density function (Beta PDF) is performed to model continuous random variable of solar irradiance. The uncertainty studies are needed to optimally plan the photovoltaic system for the development of solar PV technologies in generating electricity and enhance the utilization of renewable energy; especially in tropical climate region.

Photovoltaic (PV) system has been widely used as one of the renewable energy resources. Due to the non-linear I-V characteristic and changes of the external environment and load, the output power of the PV array varies according to different situation. Hence, the maximum power point (MPP) tracking technology is necessary to be implemented in order to track for the only MPP on the P-V curve to increase the energy harness from the PV array. In this study, two commonly used MPPT algorithm, perturb and observe and incremental conductance were developed in Matlab Simulink with a boost DC-DC converter to study the accuracy, speed and tracking efficiency under STC, slow changing irradiance condition and step changing irradiance condition. Comparative studies shows that modified incremental conductance is able to track MPP faster and more efficiently under fast changing of irradiance.

No abstract