PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
This paper deals with open loop speed control of Brushless DC motor (BLDC) using Arduino UNO processor. Real-time implementation of the drive in open loop speed control has been performed in which speed of the motor depends on the input voltage given to the stator winding and it is nothing but duty cycle setting. The open loop speed control is also useful in many practical applications however, the present work mainly deals with studying the running performance of the drive without using any speed feedback arrangement. That means, the speed of the motor may vary when it is subjected to load variations and/or supply voltage variations. The validity of the proposed approach is proven through experimentation on BLDC motor using low cost Arduino UNO processor. Speed Control of BLDC motor using other microcontroller requires more hardware and increases the cost, and the availability of Arduino with versatile features motivated to develop a cost effective and reliable control with variable speed range. In the present work, an algorithm which uses the Hall sensor signals acquired from the motor is developed and the program has been written using Arduino. This program generates the firing pulses required to drive the MOSFETs of three phase fully controlled bridge converter driven by IR2101 FET drivers. Later the program which has been dumped on the Arduino and tested with the 24 V, 80 W, 1500 rpm BLDC motor which can make the motor run at constant speed ranging from 6 to 1500 rpm. The proposed hardware and the program are found to be efficient and the results are promising.
In the present era as there is a decrease in energy consumption of portable electronic devices, the hypothesis of harvesting renewable energy in our surroundings provoke a renewed interest. The need for energy is also increasing at a fast rate, which has exhausted lots of resources. So, there is a need to produce more energy. Mechanical energy harvesting happens to be the most prominent energy harvesting technique. This utilizes piezoelectric components where electric charge is generated by deformations produced. This technical paper emphasis on one such method through piezoelectric material. The motive is to obtain pollution–free energy source and to utilize the energy being wasted. A piezoelectric substance is one that produces an electric charge when a mechanical stress is applied. Piezoelectric materials can be used as a mechanism to transfer mechanical energy, usually ambient vibration, into electrical energy that can be stored and used to power other devices. Conversely, a mechanical deformation is produced when an electric field is applied. Piezo-film can generate enough electrical density that can be stored in a rechargeable battery for later use. Currently, there is a need to utilize other forms of energy at passenger terminals like airports and railways across the world. Cleaner, more useful forms of electrical power are needed in order to keep costs lower and to ensure a pollution free environment for future generations. The use of piezoelectric devices installed in the terminals will capture the kinetic energy from foot traffic. Such a source of power can then be used to operate lighting systems. In this paper, the concept of piezoelectricity and piezoelectric effect is well discussed. The various applications based on piezoelectric effect are also elaborated. Future prospects regarding piezoelectric materials in day-to-day life are also well highlighted.
Photovoltaic system simulation software is very important in prediction of output electricity from the PV system. In this paper, Grid connected photovoltaic system is simulated using the PVsyst software. In this study, PVsyst software is used to design a grid connected PV system for Madan Mohan Malaviya University of Technology, Gorakhpur in India. The detailed system configuration, system output and system losses are determined in this study. From the previous simulation by the HOMER software, optimal size of the PV system is determined, that is able to supply the electricity to the university throughout the year. It is founded that 2000 PV module and 10 grid connected inverter is the optimal solution for the load of university. About 901.44 Mwh electricity will be available to the grid in a year.
This paper presents the operation of Space Vector Modulation (SVM) based DTC scheme for a Voltage Source Inverter fed Induction Motor Drive. Firstly, the performance of existing model is studied with Fuzzy Logic Controller. In order to incorporate better dynamic response, the discussed model is further simulated using Adaptive Fuzzy Controller. Simulations results obtained with these controllers are presented and compared. It may be inferred that Adaptive Fuzzy based model exhibit better operational features with regard to torque and flux response. The performance of this control method has been demonstrated by simulations done using MATLAB/SIMULINK tool.
Automatic Generation Control (AGC) insures a sufficient, reliable and good quality of power to the consumer. It insures that the amount of power available should be sufficient and the frequency deviation is within the rated limit. Any mismatch between generation and demand causes deviation in the system frequency from its nominal value. If load is continuously changing in nature, the frequency deviation goes on increasing, which may lead to system collapse. So in order to maintain the stability in power generation, a very fast and accurate controller is needed to maintain the nominal system frequency. In this paper, Proportional- Integral-Derivative controller and artificial intelligent controllers such as Fuzzy-Mamdani, Fuzzy-Sugeno and Adaptive Neuro Fuzzy Inference System (ANFIS) has been presented for AGC of fourarea (Thermal-Nuclear-Thermal-Hydro) interconnected power system including Generation Rate Constraint (GRC).
This paper presents the design of energy efficient street lighting plan and its implementation to a professional institution for optimum energy saving. Even though the initial cost to implement the plan is more, a considerable amount of energy saving can be obtained by choosing the efficient street lighting plan and energy efficient long life lamps. The design of street lighting scheme includes campus survey, selection of street lighting poles, cross arms and fittings as per manufacturer guidelines for proper illumination and energy efficiency. The optimum energy saving can be achieved by installing high power cool LED fittings. The designed energy efficient street lighting plan is suggested for professional institution and is implemented. This will help to increase the reliability of the electric supply and provides a considerable amount of savings in electricity charges.
