This work envisages modeling solar photovoltaic (PV) systems as it is one of the most promising renewable energy source. A mathematical model of the PV system assumes importance as it enables the study of its performance under varying environmental and load conditions so as to assess its suitability for real time applications. To serve this purpose a mathematical model of the PV system has been developed in Matlab. The simulator is modeled to support a large array PV system, so that it can be interfaced with power electronic converters. Also the PV model has been connected with the cascade multilevel inverter (MLI) and the results are presented. The simulation results illustrate that this inverter topology is a right choice for PV applications. © 2013 IEEE.

Chitra A

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Himavathi S.

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.

&nbsp;

&nbsp;

VIT University

Modeling and experimental validation of solar PV system for cascade H-bridge multilevel inverter

2013 International Conference on Power, Energy and Control (ICPEC)

This paper attempts to enhance the performance of a green energy induction motor drive. The electronic power converters become indispensable part of the renewable energy systems (RES). The solar photovoltaic (PV) system is efficiently operated with artificial neural network (ANN) based maximum power point tracking (MPPT) algorithm. The inverter topologies for the green drive scheme are analyzed. To improve the drive performance a reduced switch multilevel inverter (RSMLI) is employed. As indirect field oriented control (IFOC) is used, the drive demands on-line estimation of rotor resistance. A neural learning model reference adaptive scheme (NL-MRAS) based rotor resistance estimator is found to exhibit good dynamic performance. This work also investigates the performance of the green drive with an intelligent estimator. The performance enhancement of the green energy drive obtained by ANN based MPPT for the PV system, a reduced switch MLI and an intelligent estimator is presented. © 2015 Elsevier Ltd.

Renewable Energy

Investigation and analysis of high performance green energy induction motor drive with intelligent estimator

Multilevel inverters (MLI) are suitable for renewable energy sources as they operate at lower switching frequency and voltage. The sinusoidal PWM (SPWM) techniques are popularly employed in MLIs to improve the drive performance. However as the number of switches increase it leads to more switching losses, higher price and size of the inverter. In this study, a modified reduced switch MLI (RSMLI) with five switches is proposed. Various multilevel inverter topologies with different multicarrier SPWM techniques such as phase disposition, phase opposition disposition, and alternative phase opposition disposition (APOD) are derived, analysed and presented for the proposed RSMLI. All the inverter topologies are simulated and the scheme with lowest THD is identified. The hardware setup is built for the proposed RSMLI using F28335 digital signal processor (DSP) for pulse generation and the results are validated. The vector control scheme of industrial standard requires an accurate and fast Rr estimator for stable performance. Neural based Rr estimator proposed by the authors is implemented on FPGA. The proposed RSMLI fed induction motor drive is examined with and without the neural based Rr estimator. Encouraging results obtained using the proposed RSMLI are reported. © The Institution of Engineering and Technology 2015.

IET Power Electronics

Reduced switch multilevel inverter for performance enhancement of induction motor drive with intelligent rotor resistance estimator

Indian Journal of Science and Technology

Enhanced Data Security and Integrity using Contourlet Transform for Medical Images

Sensorless control of induction motors using multi-level converters

2011 International Conference on Power Engineering, Energy and Electrical Drives

MATLAB/GUI based simulation for photovoltaic systems

IEEE Transactions on Industrial Electronics

An Effective Induction Motor Control for Photovoltaic Pumping

2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES

A new single-phase PV fed five-level inverter topology connected to the grid

Journal	Data powered by Typeset2013 International Conference on Power, Energy and Control (ICPEC)
Publisher	Data powered by TypesetIEEE
Open Access	0