Analysis, Modeling and Simulation of Optimal Power Tracking of Multiple-Modules of Paralleled Solar Cell Systems

Distributed and renewable energy generation (DG) offers great potential in meeting future global energy requirements. Distributed generation consists of small to medium size generators cited close to the customer and spread across a power system. The production of power from renewable energies will lead to a significant reduction in the rate of environmental pollution in comparison with the production by fossil fuels, thus gaining renewed attention due to advances in technology, environmental concerns and a growing energy demand. Photovoltaic systems in particular have great potential when compared to other renewable energies. The goals of this thesis are to perform a systematic analysis, modeling and evaluation of the key subsystems or components of a multiple-source renewable energy generation system and to develop an optimal tracking and control strategy. It is desirable to achieve maximum power output at a minimum cost under various operating conditions.