RESEARCH

RESEARCH AREA

  • Power Electronics & Drives

  • Renewable & Sustainable Energy

  • Smart Grid

  • EV Technology

  • Signal Processing & IoT

  • Control Systems

RESEARCH EXPERIENCES


RECENTLY SUPERVISED GRADUATE (MSc) THESES

MSc Thesis Title: A Modified PI-Controller Based High Current Gain DC-DC Converter for EV Charging Applications (2023).

MSc Thesis Title: Electric Vehicle Charging Station with Solar-Grid Interactive System for Maximum Power Exchange (2023).

MSc Thesis Title: A Real Time Monitoring of Breakdown Voltage of Transformer Oil for Condition Based Maintenance (2023).

MSc Thesis Title: Sustainable Microgrid Analysis for Kutubdia Island of Bangladesh (2022).

MSc Thesis Title: Assessment of Electric Cooking in the Context of Bangladesh: Energy Consumption, Financial Evaluation, Efficient Cooking, Prospects and Challenges (2021).

MSc Thesis Title: Development and Implementation of a Real Time Monitoring System for High-Volage Grid Substation Equipment (2020).

MSc Thesis Title: Design and Analysis of Solar Powered Base Transceiver Stations (BTS) in Off Grid Area (2020).

MSc Thesis Title: Design and Implementation of a PV-Diesel Generator Hybrid Minigrid with Energy Storage System for Rural Electrification at Manikganj (2020).

MSc Thesis Title: Design and Development of an Integrated Solar Energy Management and Monitoring System (2019).

MSc Thesis Title: Design, Implementation and Performance Analysis of a PID-Controlled Synchronous Buck Converter Based Battery Charging System for Solar Powered Fishing Trawler (2016).

MSc Thesis Title: Design and Analysis of an Outer Rotor Permanent Magnet Alternator for Low-Speed Wind Turbine (2016).

MSc Thesis Title: Design and Analysis of Blades for a Low-Speed 400W Horizontal Axis Wind Turbine Suitable for Coastal Areas of Bangladesh (2016).

ONGOING RESEARCH PROJECTS

Project Title: Design and Implementation of an Intelligent Solar Photovoltaic Energy Management System for Developing Countries

Project Objectives: The objective of the proposed project is to design and implement of an intelligent photovoltaic energy management system to meet up the automatic energy distribution recording and playback calculation, and providing necessary information to concern people. The system will undergo the solar photovoltaic energy efficiency variability analysis based on country’s current scenario leading to the large scale energy generation from renewable sources.

Project Title: Impact of THD and Power Factor on the Grid Power Quality Due to EV Charging

Project Objectives: The objective of this project is to analyze the impact of Total Harmonic Distortion and Power Factor on the grid power quality due to EV charging.

Project Title: A Prediction Approach for Demand Analysis of Energy Consumption in a Residential Apartment using Machine Learning

Project Objectives: Sustaining with the surge of population, energy supply and demand has to be optimized. Net zero or near zero energy consumption building models can only provide robustness in future reliability. Introducing intelligent systems in monitoring and training any model in this case renders efficient buildings. Thereby, machine learning can train the system itself so that better accuracy can be achieved. It will surely bring smoothness in power consumption system along with costing. In residential sectors, rising electricity bill can affect economy, safety, and solvency. Machine learning algorithm in such case can wisely analyze data provided to it and train itself to predict better outcome. Hence, both consumer and provider will acknowledge the deep problems and can analyze solutions accordingly.

This project will introduce new methods of machine learning algorithms in energy consumption costing of residential home. The main goal is to analyze the most effectively predicted machine learning algorithm of assuming electricity bill monthly and figure out the most consumed equipment used in the home. Building of such algorithms will be fulfilled using Anaconda open source distribution platform by Python programming language. The dataset ingesting into the algorithms by which it will train themselves can be gathered considering surrounding feature points. By deeply surveying the machine learning algorithms, most efficient system for prediction the goals can be achieved which will allow to balance energy-usage and energy-waste.

Project Title: Integration of Renewable Energy Sources into the Power Grid for Energy Demand Management

Project Objectives: The energy sector is undergoing a paradigm shift from a fossil fuel-based system to a much more distributed system with increasing renewable energy capacity and improved energy efficiency. In this regard, new smart grid technologies are opening tremendous opportunities for energy transition and greenhouse gas emissions reduction. The desire to make the grid smarter, safer, reliable and more cost-effective using advanced sensors, communication technologies and distributed computing.

The power system operators and planners still face the challenge of integrating renewable energy sources into power system grids. Renewable energy system is an innovative option for electricity generation, especially the solar PV system as it is a clean energy resource. The objective of the research project is to integrate consumers as active players in the electricity system; savings, achieved by reducing peaks in demand and improving energy efficiency, as well as cutting greenhouse gas emissions..

Project Title: Design and Analysis of a 48V On-board Fast Charging System for Electric Vehicles

Project Objectives: Globally the usage of Electric Vehicles is emerging. To decline the usage of fossil fuels, EVs are the best potential solution. Compared to diesel or oil vehicles, EVs are cheaper to maintain and run, they are greener and better for the environment, and most importantly they reduce the use of fossil fuels. In contrast to gasoline vehicles EVs are noiseless means for traveling. All of these qualities makes the EVs more energy efficient and environmental friendly means of transportation. Conventionally EVs are charged using the fossil fuel based power grids which makes the charging system quiet expensive, less environment friendly and also the charging time that is required by the EVs to get fully charged using the available Level 1 and Level 2 charging infrastructures is quiet high. Furthermore, this exerts a lot of stress on the grid and the distribution lines. Solar energy is a form of renewable energy that has a great potential to generate massive amount of electrical energy from PV panels. Solar power is free of cost, does not produce any noxious waste and is available during the peak hours of charging. Coupling solar panels with EVs charging stations is one of the solutions that can be used to make the EVs charging system more efficient and environment friendly. Fast charger is used to charge EVs in only about 30 minutes. Solar powered charging stations paired with fast charging system has the ability to reduce the time needed to charge the EVs along with the reduction of the pressure on the grid.

The objective of the project is to develop a fast charging system for EVs using solar power, with the purpose of utilizing the solar power more proficiently and charging the EVs in a short span of time. A high performance DC-DC converter is designed in our proposed project with the aim of attenuating the problems of the present state of fast charging and environmental problems. A PI controller is used in the proposed DC to DC converter. The EV customers will be able to charge their EVs wherever an electric power outlet is available because of this on-board battery charger.