INTEGRATION OF SPV BASED SYSTEMS INTO DISTRIBUTION GRID WITH POWER QUALITY ANALYSIS

Abstract

The integration of solar photovoltaic (SPV) with grid as distributed generation (DG) are able to solve the demand and generation mismatch issues especially in developing countries. Integration of SPV systems at medium voltage (MV)/ low voltage (LV) grid level poses some negative impacts such as voltage limit violation at the point of common coupling (PCC), frequency variations, grid stability issues, etc. The large scale penetration of PV power into electric distribution system possesses a great threat to grid stability and reliability. Therefore, the utilities are developing the smart grid approach across the world and PV power forecasting is the one of the key tool for this new paradigm. An intelligent approach based on wavelet transform and generalized neural network (GNN) is proposed for very short term PV power forecasting. Further, an energy management system supporting high penetration of solar photovoltaic generation for smart grid using solar forecasts and energy storage system has been also developed and presented in this thesis. Voltage source converter (VSC) is the key component which is used to supply AC loads and integrate with the grid. The control of VSC plays very important role to synchronize the PV plant with the utility grid. The performance of control techniques mainly depends on the algorithm used to calculate the reference grid currents and use to give the switching signal patterns for insulated- gate bipolar transistor (IGBT) switches. Hence, integration of solar PV as a DG must have efficient and coordinated control measures for the proper synchronization. vi

Intelligent and adaptive control techniques for three phase grid connected SPV system are developed in this work. These proposed algorithms provides reactive power, harmonic compensation and help system to transmit active power to the grid and loads effectively. The performance of the proposed algorithms has been validated through simulations carried out in MATLAB/Simulink platform and also implemented on hardware prototype.