Poornima D
@srit.org
Assistant Professor, Department of Electrical and Electronics Engineering
Sri Ramakrishna Institute of Technology
RESEARCH INTERESTS
Power Electronics, Renewable Energy
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
D. Poornima and C. Vivekanandan
IEEE
Thermoelectric Generators (TEGs) are popular nowadays for their application in waste heat recovery from automobiles. 75% of the energy extracted from petrol is wasted as heat in an automobile IC engine. This emitted heat contributes a major part in increasing global warming due to the increasing amount of automobiles day to day. In this paper, a part of the heat wasted from the exhaust of a two-stroke petrol engine is converted into electricity and is utilized to charge the battery. The main purpose of this energy extraction and conversion is to cut down the amount of heat released from the automobile exhaust into the surroundings and thus encourage conscious use of energy. But one of the challenges in this conversion is that the output voltage and efficiency of a thermoelectric generator module are low for charging the battery. To rectify this, a Ćuk converter is utilized to boost the voltage of the TEG module. MPPT algorithm controller is also implemented to ensure maximum power extraction from the module at all times. In this paper, an attempt is made to cool the cold side of TEG using water flow rather than airflow. It is observed that the temperature difference between the hot and cool sides of the TEG reduces when water is used as a coolant and this significantly reduces the power output from the TEG when compared with an air-cooled system. Water-cooled TEG system output voltage does not reach the expected value and cannot be used to charge the battery. The comparison between an air-cooled and water-cooled TEG system is also done.
S. Sangeetha, R. Mahalakshmi, and D. Poornima
IOP Publishing
Abstract Induction Motor is the most commonly used motor in industrial applications due to its characteristics like self-starting, reliable and easy speed control. The objective of the proposed system is to provide efficient speed control with lesser current harmonics. The Indirect Vector Control (IVDC) method is been presented for speed control of induction motor due to its high dynamic and low drift property. Though there were many classical methods for speed control like Ward-Leonard method etc.; in later years, power electronics circuits were preferred due to its high efficiency, reliability and accuracy. But the presence of static converter in drive circuits results in harmonics, giving in high feedback complexity. Therefore, the Hysteresis controller with conventional Proportional Integral and Differential (PID) control for speed and PI controller for flux is used to control the current harmonics at the point of common coupling. The simulation for speed control in squirrel-cage induction motor is carried out using the MATLAB/Simulink and the parameters like torque, speed, current and Total Harmonic Distortion are analyzed to show optimal response of drive system.
Mariaraj Alex, Devaraj Poornima, and Ramamoorthy Karthika
Trans Tech Publications, Ltd.
This project presents the analyzed results of an integrated offshore wind and seashore wave farm fed to an onshore power grid through a unified power flow controller (UPFC) to simultaneously achieve power-fluctuation mitigation and stability improvement. A damping controller of the proposed UPFC is designed by using modal control theory to render adequate damping characteristics to the studied system. A frequency-domain scheme based on a linear system and a time-domain scheme based on a nonlinear system. From time domain analysis, the UPFC is designed. The proposed UPFC joined with the designed damping controller can effectively stabilize the studied integrated OWF and SWF under various interruption conditions. The fluctuated power injected in to the power grid can also be effectively mitigated by the proposed control scheme.
P. Sivakumar and D. Poornima
Trans Tech Publications, Ltd.
For growing of electrical demand in the modern world energy requirement is tremendously increased day to day power market. Nowadays the non-conventional energy sources are utilized to meet out the current power demand through PV, wind and other non-conventional resources etc. In this concern the energy drawn from the other non-conventional energy sources is highly variable due to the nature of uncertainties. Hence the optimal load dispatch of the power is highly difficult, one of the attempts is to eradicate this difficulty by adding developed uncertainty model of PV and wind sourced power generation in power system network. Uncertainties of PV irradiation and wind speed models are developed by using generic probabilistic approach. By using this hybrid system, instantaneous power flow of a DG system is obtained through Monte carlo simulation (MCS) in the MATLAB/SIMULINK packages. Enhancement of optimal power flow (opf) and system reliability due to addition of uncertainty variables in DG sourced power systems.Index TermsLoad flow analysis, Monte Carlo simulation (MCS), integration of Photovoltaic generator and wind (PVG and WEG).