Sudhakar N

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Reddy K.J

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Journal of Green Engineering

This paper proposes a multi-input single output (MISO) super lift negative output Luo converter for DC grid connected hybrid wind and photo voltaic (PV) system. The proposed converter is developed by sharing the charging capacitor and DC link capacitor between the two super lift negative output Luo converters to form a hybrid system. Therefore, it has the advantage of the simple structure and reduced converter passive components. The proposed converter is designed and then analyzed for the DC grid connected hybrid wind and PV system. This study considers a 500W wind system and a 560W PV system with maximum power point tracking (MPPT) algorithms of perturb&amp; observe (P&amp;O) method for both wind and PV system. The proposed converter effectiveness has been validated and compared with the proportional integral (PI) and P&amp;O control algorithms by using the simulation results. Based on the availability of the wind and PV energy sources, the converter usage is presented. © 2018 The Authors. Published by Elsevier Ltd.

Energy Procedia

Analysis of MISO Super Lift Negative Output Luo Converter with MPPT for DC Grid Connected Hybrid PV/Wind System

Due to the more vigorous regulations on carbon gas emissions and fuel economy, Fuel cell electric vehicles (FCEV) are becoming more popular in the automobile industry. This paper presents a neural network-based maximum power point tracking (MPPT) controller for 1.26-kW proton exchange membrane fuel cell (PEMFC), supplying electric vehicle powertrain through a high voltage-gain dc-dc boost converter. The proposed neural network MPPT controller uses a radial basis function network (RBFN) algorithm for tracking the maximum power point of the PEMFC. High switching-frequency and high voltage-gain dc-dc converters are essential for the propulsion of FCEV. In order to attain high voltage-gain, a three-phase high voltage-gain interleaved boost converter is also designed for FCEV system. The interleaving technique reduces the input current ripple and voltage stress on the power semiconductor devices. The performance analysis of the FCEV system with RBFN-based MPPT controller is compared with the fuzzy logic controller in MATLAB/Simulink platform.

IEEE Access

High Voltage Gain Interleaved Boost Converter With Neural Network Based MPPT Controller for Fuel Cell Based Electric Vehicle Applications

Energies

Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

In this paper, a radial basis function network-based single maximum power point tracking (MPPT) control algorithm for a hybrid solar and wind energy system is designed and analyzed for standalone and grid connected applications. The extraction of maximum power from the intermittent and erratic nature renewable energy sources is the main target in the hybrid renewable energy system. In the literature, many researchers developed an individual MPPT control algorithm for solar and wind energy system, which in turn increases the number of control algorithms in a hybrid system. In this paper, a single MPPT controller is proposed to extract maximum power from both the sources simultaneously. The performance of the proposed MPPT control algorithm is analyzed in both standalone and grid connected modes, under different weather conditions. The hybrid renewable energy system is designed by considering 560-W photovoltaic system and 500-W wind system with the conventional boost converter, and it is simulated in MATLAB/Simulink environment to analyze the performance of the proposed MPPT controller. © 2017 IEEE.

Design and Analysis of RBFN-Based Single MPPT Controller for Hybrid Solar and Wind Energy System

Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System

Design and Analysis of a Hybrid PV-PEMFCSystem with MPPT Controllerfor a Three-Phase Grid-Connected System

Journal	Journal of Green Engineering
Publisher	River Publishers
ISSN	1904-4720
Open Access	Yes