Naveen Kumar Thotakanama
@engineering.msruas.ac.in
Electrical Engineering/Faculty of Engineering and Technology
M. S. Ramaiah University of Applied Sciences
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Naveen Kumar Thotakanama, Manickavasagam Krishnan, and Manikandan Shanmugam
IEEE
Renewable Energy Sources (RES) are clean and abundantly available in nature. Solar energy is one of the best RES to substitute conventional energy sources. Electric power generated from solar energy is governed by solar irradiance that is stochastic in nature. Attaining a stable power generation from this penetrating unpredictable solar energy is a major issue to be resolved. The surplus power generated from solar Photo Voltaic panels (SPV) can be stored in Energy Storage Devices (ESD) like battery and retrieved if the power generated from SPV is deficient to meet the load demand. Controlling of power flow from SPV panels to load and battery is a challenging task due to variations in source, load and State of Charge (SoC) of battery. In this paper, a Fuzzy Decision Support System (FDSS) is proposed to control power flow between two pools namely pool1 (local system) and pool2 (inter system) and each pool consists of SPV panel, load and ESD. FDSS controls the charging of ESD in case of surplus power generated and retrieving to meet the load in case of deficient power supply from SPV panels and delivering power to the critical load of neighboring pool in case of demand. The load in this paper represents charging of electric vehicle(s).
Vinay Kumar, T Naveen Kumar, and K T Prajwal
IOP Publishing
Abstract As an increased demand in power resources and to reduce global warming, Renewable Energy Sources (RES) are preferred over the conventional sources. Among various available RES, solar energy is the effective and efficient one. The solar energy is also clean and free energy. The use of Maximum Power Point Tracking (MPPT) is the one of the techniques to get maximized output power from the Photo Voltaic (PV) system. The proposed method uses a voltage sensor by eliminating the need of current sensor based on selected technique using Partial Swarm Optimization (PSO) technique interfaced with DC-DC boost converter. PSO technique is one of the methods which has high conflux speed, to precisely track the maximum power. The result of the planned methodology is studied with the assistance of an acceptable simulation applied in MATLAB/Simulink setting for experiment to valid of microcontroller which is employed. The result obtained from the simulations studies showed that current sensor less methodology using PSO technique can extract the maximize power from PV systems.
Krishnan Manickavasagam, Naveen Kumar Thotakanama, and Vineetha Puttaraj
Institution of Engineering and Technology (IET)
Utilisation of renewable energy sources (RES) is increasing day by day to reduce greenhouse emissions. The toxic emission from ship is the main concern in marine sector. Here, utilisation of renewable energy for propulsion and electrification of accessories in a ship are proposed. Microgrid with AC and DC bus is developed using solar panels, wind mills, fuel cell, diesel generator, and energy storage devices. Energy management system with two fuzzy logic controllers (FLCs) is used to select and manage energy in the microgrid. Selection of source is decided by FLC1 based on the availability of RES. Generation of control pulses for inter-linking converters is decided by FLC2 based on variation in solar irradiance and wind velocity. The microgrid with RES is simulated using MATLAB/SIMULINK. The results show that uncertainty in RES can be handled by FLCs to provide a continuous power supply for transportation of ship and its accessories.
Shriti Das, Naveen Kumar Thotakanama, and Krishnan Manickavasagam
IEEE
This paper presents the designing of a SIMULINK model based on solar power generation scheme. The bidirectional converter charges the battery, whenever PV module generates excess power. Battery discharges power to the load during low solar irradiation. SOC (State of Charge) control of battery is provided to avoid complete discharge. In practice, the battery charging circuit is connected before load. In this work to extract maximum power from PV module, the battery charging unit and battery is connected near to the source to reduce the number of power conversion stages. The control of power is achieved through DC-DC Converter by controlling the gate pulses using fuzzy based PWM technique. A DC-AC converter is associated to feed power to AC load. The simulation results of designed system are validated and compared with the conventional PID controlled system during constant and varying irradiance and load.