Nowadays, one of the major challenges of the humanity shall be the endeavor to effectively exploit our available resources. The renewable power - for example the photovoltaic – systems are experiencing their renaissance. Thus it can be taken for granted, that the demand for harvesting the maximum possible power from a solar array appeared. Because of the non-linearity of the characteristics of a solar panel, it has to be driven to an operational point, where the obtainable power is maximal.
In order to reach that, a maximum power point tracking (MPPT) algorithm must usually be integrated with photovoltaic power systems. In this work, the focus is placed on examining and improving the efficiency of different MPPT algorithms. Some of them, such as Perturbation&Observe (P&O), Incremental Conductance (INC), Fractional Open Circuit Voltage (FOCV) and Fuzzy Logic Control (FLC) are implemented and then the improved versions of P&O, INC and FOCV are provided, too. After that, their static and dynamic efficiencies are tested by simulation and the improved results are shown. Finally, a set of circuit measurements have proved the success of the implemented algorithms; however, a need for further improvements is expressed.
Another aspect of my thesis is directed to space applications of solar power systems found on satellites. The description of the effects of extraterrestrial conditions and a brief overview of the elements constituting space-solar power system are provided.