Modeling and Control of A Hybrid Sustainable Energy System

Abstract

Harnessing of power from non-conventional energy generators such as wind energy conversion system or photovoltaic system is a proven choice for power generation. Some convincing features like zero emission of greenhouse gases, their availability in abundance, and requirement of low maintenance cost are offered by renewable generators. Though generation of power from such sources faces challenge of intermittency due to dependency on variable climatic conditions. Thus, integration of backup sources like fuel cell-electrolyzer, super-capacitors, and battery are inevitable in order to enhance the overall system reliability, efficiency and sustainability of the system. A combination of a renewable energy generator along with back up sources leads to the formation of hybrid sustainable energy system (HSES). If such systems can share a considerable quantum of energy in a geographical area then grid integration of such system is a viable option. Grid integration of HSES enhances the reliability of the utility grid, and such integration attributes to a successful grid support. Yet, the grid integration of such renewable generation-based hybrid energy system faces the challenge of uncertain power system dynamics due the different characteristics of integrated renewable energy resources. Occurrence of faults at the utility end and variation in the load demand at the point of common coupling can affect the operation of HSES. In addition, unpredictable change in climatic conditions may affect the power generation from the sustainable energy generators. In order to solve such challenges, this research work considers design and modeling modalities, fault ride through (FRT) capability enhancement strategies, and power management control strategies in renewable energy-based hybrid energy systems. This thesis majorly considers three distinct configurations of grid-connected hybrid energy systems.