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
The electromagnetic field (EMF) produced by electrical appliances like wi-fi, smartphones, and power are carried by high tension wires. The human body and its charged biological fluids, such as blood and lymph, are being affected by the power grids. Long-term exposure of blood to electromagnetic radiation, or the effect of EMF, causes significant changes in blood physiology and human body homeostasis. In the presence of high and long-term EMF exposure, the PH of the blood varies, and the electronic potential of the blood varies as well. The viscosity of the blood changes at the exposure site, but the overall protein concentration increases.Ca2+ ions, which play an important role in heartbeat, can be affected by PH variations. EMF emitted by 220/440 kV HT, which transmits electricity through aerial transmission has strong electromagnetic fields and is having an adverse effect on blood, which contains iron in the form of haemoglobin, and could lead to a chronic situation in the near future. This study focused on determining the harmful effects of EMF on the blood of primitive mice. The results of the experiments have provided a specific collection of results for the UV Radio wave frequency spectrum. The PH/blood concentration/amount of RNA in the blood was measured at the time of EMF exposure and distance from the source. As a result it was found that the measured blood exposure to various types of radiation and frequencies is within the electromagnetic spectrum's safe zone.
This paper discusses the control mechanism and simulation of a three-phase IM powered by a four-level diode clamped multilevel inverter. In the fields of power trade, reactive power compensation and interfacing with clean energy sources, they were chosen as the best alternative. The key aim of this study is to use a 4-level diode clamped multilevel inverter to control the torque and speed of an asynchronous motor (Induction motor). A multicarrier PWM control scheme for diode clamped multilevel inverter is proposed to achieve high quality sinusoidal output voltage with reduced harmonics. The designed system reduces switching losses when compared with other conventional methods. The suggested system is a viable alternative to the traditional approach for lowering switching losses and improving drive efficiency. The proposed circuit effectively controls motor speed while also enhancing drive performance by lowering total harmonic distortion, according to simulation results. This also shows that the suggested model easily controls the speed and torque of the machine. As a consequence, simulation is used to assess the system's efficacy.
The present day industries are availing the use of modern digital power electronic devices which are more robust, noise free, reliable and flexible. Power DC-DC converters are used to control the output voltage of most of the electrical and electronics appliances, when they are employed for applications such as aircrafts, energy storage systems, electric vehicles, standalone, and grid connected photovoltaic (PV) system. The control of these converters has a wide scope for research and a number of control schemes have been introduced to efficiently control the output devices. This paper presents the design of model predictive controller (MPC) for boost converter. Boost converter is mathematically modelled and are implemented in MATLAB Simulink. Finally, they have tested various controller schemes and results obtained using these controllers are compared and analysed. The open loop response of the system has been used to find the transfer function (TF) of the system. The TF is used to design the MPC. The output voltage of converters is controlled by the designed controller and it has been observed that the output of converters is maintained at a constant value for different set points. The notable feature of the proposed design is to reduce the overshoot drastically. The empirical rules for tuning MPC parameters are reported based on desired response. Finally, the output voltage of the system with MPC based controller is compared with that of conventional controllers like PI, PID and it is found that MPC showed better control performance than conventional controllers. The efficacy of the designed controller is demonstrated through simulation using DCDCboost converters with R and RL load.
Multi-level inverters are popularly used in induction motor drive applications because of the advancements in power electronic devices. One of the interesting ways of producing three-level output voltage waveform is by using dual two-level inverter configuration feeding an open-end winding induction motor. In this open end induction motor configuration, neutral point of induction motor is isolated and two two-level inverter are connected from both sides of the winding. In case of conventional dual inverter fed induction motor supplied by a single DC source, zero sequence currents will find a path through motor phase winding and power electronic devices. Therefore a novel PWM technique is proposed to operate the drive in linear modulation region and over modulation region. The zero-sequence current is reduced by reducing the zero-sequence voltage to zero. The proposed PWM technique is used to reduce the zero sequence voltages by maintaining the sum of three phase reference voltages to zero. The switching frequency of the inverters is also significantly reduced as one inverter is completely clamped. As this configuration is using only two-level inverters, it will avoid all types of problems existing in the conventional three-level inverters. MATLAB/Simulation is used to validate the proposed inverter configuration with novel PWM technique.
Very common and reliable source of energy is received on the earth from the sun as the photon band. Solar energy is changed into useful form of energy using photovoltaic cells. The photovoltaic solar arrays, i.e., the combination of more than one photovoltaic cells collect the solar energy in the form of energy packets called photons and give the output in terms of direct electric current. The problem faced by photovoltaic arrays is the inefficiency in operation of energy conversion due to the variations in position of the sun throughout the day for a whole year. To optimize the efficacy, MPPT which stands for Maximum Power Point Tracking is utilized that helps PV (Photovoltaic) arrays to get themselves perched in the direction or at a specific point where the reception of sun's energy is maximum. The issue with conventional MPPT systems is the convoluted mathematical computations involved in the procedure of tracking the spot of maximum power. We have to calculate various geographical and energy parameters like longitude, latitude, tilt angle, solar irradiance, temperature etc. in traditional MPPT construction. To avoid these labyrinthine calculations and make MPPT systems cognizant enough to predict the position points of maximum power based upon their prior knowledge we employed artificial neural network in association with MPPT systems.