DESIGN, DEVELOPMENT AND ANALYSIS OF GRID INTEGRATED PV SYSTEM

Abstract

Electricity is extremely important to any country for its growth and development. Thermal power plants based on coal and other fossil fuels have been a major source for electrical energy till date. But with the rise in requirement for electricity it is essential to look at other renewable sources like Solar, Wind, Geothermal Hydro etc. to meet this growing demand. In recent years power generation through Solar Photovoltaic (SPV) system has grown rapidly all over the world. The grid connected PV system has become popular all over the globe and can cater to the increasing demand of electrical energy in future. The present work deals with the design, analysis and modeling of a 25 kW grid connected PV system. The system comprises of PV array, DC-DC boost converter and three-phase voltage source inverter which is synchronized with the utility grid. The load is connected at PCC. The characterization study photovoltaic module has been carried out under various load circumstances with varying environmental conditions. Incremental Conductance algorithm (IC) is applied for generating peak power from the PV array. VSC is designed using various control algorithms operating on unity power factor mode. VSC consists of DC bus capacitor which is supplied through the solar photovoltaic (SPV) module. PI controller is placed to contain the voltage level of DC bus at a fixed reference voltage for VSI control. Conventional control techniques like SRFT, IRPT, PBT and Unit Template are applied to the system along with Adaptive techniques such as LMS and VSS-LMS. Parallel is drawn between all these techniques for changing meteorological and load conditions to assess their behavior, stability, reliability, and speed. An innovative adaptive algorithm is also presented, and the outcome is compared with the established controlling techniques. this algorithm is less sensitive to uncorrelated noise. It offers early settlement and faster and smoother convergence as with respect to LMS and VSS-LMS during non-stationary conditions.