A proposed energy management strategy for a hybrid PV-wind-battery storage system

Abstract

This thesis presents a comprehensive study on the development and implementation of an energy management strategy for a Hybrid Power System (HPS) that integrates photovoltaic (PV) panels, wind turbines, and battery storage. The primary goal is to ensure a continuous and reliable supply of electricity to the load by efficiently utilizing the available renewable energy resources. The study begins with the modelling and simulation of the HPS components using MATLAB Simulink. The PV, wind, and battery models are developed and tested individually to ensure their accuracy and performance under various operating conditions. A controller is designed to manage the energy flow within the HPS, making real-time decisions based on the availability of resources and load demands. Simulations are conducted to evaluate the performance of the HPS under different scenarios, including varying weather conditions and resource availability. The results demonstrate that the PV model operates effectively within the HPS, providing a stable power output when solar irradiance is sufficient. The Doubly-Fed Induction Generator (DFIG) model shows robust performance, seamlessly integrating into the HPS and compensating for the PV system's limitations during low solar irradiance periods. The battery storage unit proves to be a crucial component, ensuring power supply continuity when both PV and wind resources are unavailable. The controller's ability to accurately determine the availability of each energy source and manage the energy flow is validated through various test cases. The results indicate that the controller effectively optimizes the use of available resources, maintaining a steady power supply to the load plus maximizing system efficiency. In conclusion, this research successfully develops an energy management strategy for a hybrid power system consisting of PV, wind, and battery, demonstrating its potential to enhance the reliability and efficiency of renewable energy systems. The findings provide positive insights for the design and implementation of HPS, contributing to the advancement of green energy solutions.