| PhD Viva

Name of the Speaker: Mr. Durga Malleswara Rao K (EE17D036)
Guide: Prof. Mahesh Kumar
Online meeting link: https://meet.google.com/eco-exqk-kis
Date/Time: 10th June 2024 (Monday), 3:00 PM
Title: Power Management and Control Strategies for Renewable Energy-based Microgrid System

Abstract :

As concerns regarding energy costs, environmental impact, energy security, and energy policies continue to rise, there is a growing trend toward integrating distributed generation systems based on Renewable Energy Sources (RESs) into microgrid systems. Hybrid AC-DC microgrid systems, which incorporate AC and DC sources, loads, and storage, are considered the most promising structures for future distribution and transmission networks. Due to the intermittent nature of RESs and the unpredictable changes in loads, there is a need for high-power and high-energy density storage systems in today's hybrid AC-DC microgrid systems. Energy storage is crucial in enhancing the dynamic stability of renewable grid-integrated systems. It helps to mitigate the effects of RESs intermittency and load fluctuations within the microgrid environment. However, developing effective energy management schemes and control techniques for such hybrid AC-DC microgrids poses significant challenges. The present work aims to address these challenges and provide solutions to these potential problems by exploring and proposing suitable approaches and strategies. This thesis presents (i) the development of a supervisory power management system has been focused on a DC microgrid equipped with hybrid energy storage. It is of utmost importance to utilize all the available energy sources effectively to maintain power balance in the system, (ii) a novel DC bus voltage controller is proposed to regulate and maintain a constant voltage on the DC bus despite varying environmental conditions, including wind gusts, zero solar irradiation, and grid interruptions, (iii) a new model predictive control techniques is proposed for grid-connected inverter. The proposed controller is based on the predictive control for a three-phase two-level grid-connected inverter with LCL filter. The effectiveness of the control schemes and energy management strategies presented in this work is verified through digital simulations and experimental studies.