INVESTIGATION ON DIFFERENT INVERTER CONFIGURATIONS AND THEIR CONTROL ASPECTS FOR DISTRIBUTION SYSTEMS

Abstract

Modern distribution systems have considerable hurdles in preserving power quality as sensitive electronic equipment and nonlinear loads become more common. Power quality concerns, such as voltage deviations, harmonic distortions, and frequency changes, can cause equipment failures and inefficiencies in power transmission and distribution. Several innovative technologies and tactics have been developed to overcome these issues. One viable strategy is to combine Distribution Static Synchronous Compensator (DSTATCOM) and Hybrid Power Filters (HPFs). This combination provides rapid reactive power adjustment and voltage support while efficiently suppressing harmonics and filtering out disturbances, improving system stability and power quality in distribution networks. Electric vehicles (EVs) are gradually becoming recognised as a sustainable mode of transportation, thanks to technological developments, economic factors, and environmental concerns. Several factors contribute to the growing popularity of EVs, including the availability of low-cost models, lower battery costs, rising gasoline prices, and more awareness of the effects of climate change. EVs are viewed as a critical option for reducing greenhouse gas emissions in the transportation sector, encouraging supporting public policies worldwide The entire thesis work has been split in to eight chapters. The first two chapters deal with the Introduction and Literature Review related to problems and mitigation techniques of DSTATCOM and EV Charging Systems. The third chapter deals with the design and analysis of grid connected systems. The configuration of DSTATCOM in one-phase and three-phase grid connected and EV charging systems are discussed. The fourth chapter discusses the DSTATCOM in single-phase and three phase grid connected systems. The control algorithms considered for compensation are Notch Filter (NF), Adaptive Leaky Least Mean Fourth (ALLMF) and Adaptive Radial Basis Function Neural Network (ARBFNN). The fifth chapter vi using Multilevel Inverter (MLI) based DSTATCOM with same algorithms NF, ALLMF and ARBFNN are discuss in details. These algorithms are studied under varying load conditions i.e., non-linear conditions using Matlab/Simulink models. The algorithms have also been tested in the Simulink environment as well as hardware developed in the laboratory. The six chapter deals with the single phase grid connected EV charging systems. In this chapter the control algorithms Second Order Generalized Integrator (SOGI), Least Mean Square (LMS) and Rodrigues Jacobi Polynomial (RJP) are used to control bidirectional AC -DC converter. The waveforms of charging and discharging condition are tested in both hardware and Simulink and it is found satisfactory. The seventh chapter also deals with the three-phase grid connected PV and EV charging systems. The same algorithms SOGI, LMS and RJP are tested in Matlab/Simulink. The Simulink waveforms are well presented with and without PV in charging and discharging conditions. The eighth chapter studies the Reduced Switch Multilevel Inverter (RSFLI) based grid connected EV charging systems. This system considers a battery integrated PV systems under single phase grid connected system. Control algorithm like Third Order Sinusoidal Integrator (TOSSI) is used and tested in Matlab/Simulink and OPAL-RT setup in the laboratory. The Simulink and OPAL-RT waveforms are well presented in this chapter. The chapter nine presents the conclusion and future scope by analysing above chapters.