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Power Electronics Converters Applications And Design

A Systematic Review of the Smart Home Literature: A user perspective

Machine learning technology in biodiesel research: A review

In this paper, we present the swarm intelligence (SI) concept and mention some metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach. In recent years, researchers are eager to develop and apply a variety of these two methods, despite the development of many other newer methods as Bat or FireFly algorithms. Presenting the PSO and ACO we put their pseudocode, their properties, and intuition lying behind them. Next, we focus on their real-life applications, indicating many papers presented varieties of basic algorithms and the areas of their applications.

Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms

With ever-increasing demands for energy and gradual climate changes, development and advancements of renewable energy have become a major priority of every country. The applications of renewable energy increase many folds when coupled with wireless power transfer (WPT) technology. About a century ago the advents of Tesla provided us with the principles of WPT. Since then a lot of research has been done in this field. Many efforts have been put to transmit power of renewable energy wirelessly. In this paper, the basic principles and various methods of WPT are reviewed and also discuss the recent developments in wireless transmission of renewable energy. An update for application and limitations of WPT has been presented. The possible systems produced with the coupling of WPT are also presented.

Investigation of wireless power transfer applications with a focus on renewable energy

Background/Objectives: Lack of resources established in the present world is initiating everyone towards energy efficient technologies.Among all these resources, power is one which needs to be monitored and controlled as per the need since electricity consumption is increasing day-by day. Methods/Statistical Analysis: Internet of things reduces the effort of human by introducing machine to machine interaction. This work has been designed to implement smart power monitoring and control system through IoT using cloud data storage. Findings: Power consumed by various appliances is monitored through an ARM based controller interfaced to Hall Effect current sensors and stored in a cloud data base known as Xively. Power control of home appliances is achieved through actuators such as relays which can be controlled by client with the help of a web server. The web server is designed using Hyper Text Transfer Protocol for communication between client and server by establishing Remote Procedure Calls between client and server. Conclusion/Improvements: The designed system enables client to monitor and control the appliances at home from anywhere availing the IoT features of the designed system thereby reducing the wastage of energy.

Smart Power Monitoring and Control System through Internet of things using Cloud Data Storage

In recent day’s Multilevel inverter (MLI) technologies become a incredibly main choice in the area of high power medium voltage energy control. Though multilevel inverter has a number of advantages it has drawbacks in the vein of higher levels because of using more number of semiconductor switches. This may leads to vast size and price of the inverter is very high. So in order to overcome this problem the new multilevel inverter is proposed with reduced number of switches. The proposed method is well suited for a high power application and it built with three Dc sources and six Switches. Multi carrier pwm technique is used for sine wave generation. The results are validated through the harmonic spectrum of the FFT window by using Matlab/simulink. The result of the proposed MLI is compared with the conventional MLI and other seven level existing topologies. DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.6089

https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/5038/4717

A New Multilevel Inverter with Reduced Number of Switches

Soft Computing (SC) methods are emerged as an alternative approach to conventional techniques for Grid connected Photovoltaic (PV) system because of their ability to solve the complex non-linearity problems. Soft Computing (SC) techniques are developed to handle the adverse environmental conditions such as sudden change in temperature and irradiation which are not addressed by conventional methods. The main focus of this paper is to summarize the application of various SC techniques which apply to different stages of a grid connected PV system such as panel reconfiguration, Maximum Power Point Tracking (MPPT) technique in the converter, Harmonic elimination in inverter and islanding detections. Furthermore, the comparison is made on the performance of SC methods based on several conditions, namely convergence, algorithm complexity, real time implementation, System dependency, Periodic tuning and Oscillations around the operating point. It is envisioned that the information provided in this paper is intended to serve as a valuable reference for future research in grid connected PV system.

Application of soft computing methods for grid connected PV system: A technological and status review

This paper discuss the performance of a microcontroller based charge controller coupled with an solar Photovoltaic (PV) system for improving the charging/discharging control of battery. The solar charge controller will prevent the overcharging of the battery hence will be useful for lengthening the lifespan of the battery. It will also help prevent electricity from flowing from the batteries to the solar panels at night. Solar charge controller will prove to be useful in blocking the reverse current flow which otherwise may lead to discharge of the batteries at night. The results obtained demonstrate the good performance of the charge controller as well as the benefits of its use in the power quality improvement.

http://ieeexplore.ieee.org/iel7/7469254/7475237/07475266.pdf

M. Balamurugan

Papers

Investigation of wireless power transfer applications with a focus on renewable energy

Smart Power Monitoring and Control System through Internet of things using Cloud Data Storage

A New Multilevel Inverter with Reduced Number of Switches

Application of soft computing methods for grid connected PV system: A technological and status review

Design of charge controller for solar PV systems