Volume 09 Issue 06, November 2021

Load Side Management Using Solar Power System: A Review

Dilip Kumar Shukla, Madhu Upadhyay

Page no:01-04

Abstract

The objective of the present work is to review the solar-based power generation system, which can be used as stand-alone or grid-connected systems. The main goal of the proposed work is to find out demand site management used for domestic households. This work presents an in-depth review to determine how to achieve DSM through advanced metering infrastructure (AMI) and solar photovoltaic (PV) integration on domestic power distribution systems.

Analysis of Constant Control of The Power of DFIG Wind Turbines

Omprakash Mehra , Namrata Sant

Page no:05-07

Abstract

Now days wind power energy is playing a major role in the power industry. With the increase in the application of wind power variety of new topologies are coming into the picture. Along with the unusual form of uneven speed fixed frequency topologies, DFIG is nearly all accepted due to its efficiency and capability to consent to a wide range of speed variations at reduced converter size. Doubly Fed Induction Generator (DFIG) is a wound rotor induction generator used to feed power from stator and rotor circuits. The rotor circuit is connected to a bidirectional ac to dc to ac converter with a common dc link bus. In the rotor, power flow is bidirectional, i.e., Depending on the mode of procedure, the power flow is from the rotor side to the grid, or it may be from the grid side to the rotor. The rotor region converter also fed reactive power to DFIG to run close to the unity power factor. The purpose of the grid voltage converter is to sustain the DC link voltage unvarying, which eventually feeds an unvarying amplitude ac voltage to the rotor side to keep the flux unvarying. But as soon as grid voltage disparity occurs, the DC link voltage also varies. Eventually, rotor input voltage varies because this causes irregular input of reactive power to the rotor circuit. So, to preserve the reactive power demand of the machine, it draws reactive power from the grid, which may lead to voltage variation at PCC. One result of this difficulty can be the compensation of grid voltage disparity before the grid converter circuit.

Analysis of Vector Control of AC Motor Drive based Closed-loop System

Shivnarayan Solanki, Namrata Sant

Page no:08-10

Abstract

The Z-source converter overcomes the traditional voltage-source and current-source converter’s conceptual and theoretical barriers and limitations and provides an advanced power conversion concept. The Z-source inverter system can produce an output voltage greater than the dc input voltage by controlling the shoot-through duty ratio, which is impossible for the traditional ASD systems. This work described the operating principle, analyzed the circuit characteristics, and demonstrated its concept and superiority. Different PWM techniques and their comparison are presented. The maximum constant boost control method is more advantageous than the other PWM control methods. Maximum constant boost with third harmonic injection PWM control method increases output voltage boost while minimizing voltage stresses across switching devices. It allows over-modulation where the modulation index can be varied from 0.57 to 1.154. Z-Source inverter fed IM drive system is simulated using Simulink software using the above described PWM method. Results of simulation are compared with traditional PWM inverter.

Analysis of Mitigation of Torque Ripple and Detect Rotor Position of BLDC Motor

Sonam Solanki, Vinay Pathak

Page no:11-13

Abstract

In the Brushless DC (BLDC) motor, minimize the torque ripple with the help of an electronic-based commutator. When torque ripple is minimized, then the copper loss is also minimized. In this paper, our main aspect is to minimize the torque ripples & improve the back EMF of the brushless DC (BLDC) motor. This paper shows that the torque produced by the BLDC motors with trapezoidal Back Electromotive force is constant under ideal conditions. Due to freewheeling, torque ripples are produced, which is reduced. This work determines the rotor position by the Zero-Crossing Detection (ZCD) of back EMF. Nothing like old methods of calculating the Back EMF of the BLDC. Here we create a virtual neutral ground, and a different method is used. This method provides a large range of speed. A pre-conditioning circuit is proposed to rectify the back EMF at a very low speed. Here rotor position can be detected even in standstill conditions to minimize the torque ripple.

Improvement Performance of Data Analysis Using Unsupervised K-Means Clustering and PGM

Arpana Kumari, Monika Raghuvanshi

Page no:14-19

Abstract

Improved data analysis function using k definition cluster and unsupervised PGM. Data mining is a way to extract meaningful knowledge from these large databases. There are a variety of applications in this field, so the introduction of new ways of distributing data is thoroughly researched to improve performance. Data mining algorithms group the algorithms implemented on the machine, and those also used to make intelligent machine learning are called unsupervised machine learning algorithms and can perform critical functions through a k-definition compilation algorithm. Based on a well-defined particle swarm optimization algorithm, is often more error in data analysis. More complex issues can be tackled and solved as more information becomes available. The examination of patient data becomes more essential to find the patient's state of health and prevent and take other preventive measures. With the help of technology and automated machines, data can be analyzed more efficiently. Managing large amounts of data poses many data security concerns. Tests on actual data have shown that our technology will perform against different metrics with smaller data processing functions. Mining activities and mining techniques open up new opportunities for detecting the disease. Likewise, to provide effective treatment for the disease for three years, data mining can be used; in the end, a significant positive effect was obtained. The algorithm is tested with a UCI data set. The proposed molecular method is to improve the performance of data analysis and obtain improved data from the collection and analysis of errors implemented using MATLAB software, overcoming challenges of various mining applications and implementing unmanned drill shops. A whole cluster review is done with existing strategies and an easy to compare course so that it will be easy for someone to choose a specific approach that suits their working environment.