scholarly journals Performance analysis of microcontroller based electronic load controller

2018 ◽  
Vol 13 (1) ◽  
pp. 20-35
Author(s):  
Amir Raj Giri ◽  
Bikesh Shrestha ◽  
Rakesh Sinha
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
System Performance ◽  
Power Source ◽  
Total Power ◽  
Induction Generator ◽  
Hydro Power ◽  
Unique Method ◽  
And Performance ◽  
Electronic Load

The paper ‘Performance Analysis of Microcontroller based Electronic Load Controller’ is an approach for design, fabrication and performance analysis of microcontroller based ELC for 300 Watt Pico hydro controller. Electronic Load Controller (ELC) is an approach for regulating total power in the system with Pico-hydro power plant. The paper presents a unique method to maintain the system performance by regulating the generated power. The system voltage and current is measured by microcontroller to calculate the consumer power. Based upon the consumer power the dump power is varied accordingly. The performance analysis of ELC unit was done with power source from Nepal Electricity Authority (NEA) grid line as well as with separately excited induction generator under various loading conditions. The different resistive, capacitive and inductive loads were taken into consideration and the performance of the system based on voltage, current and power profiles were obtained.Kathmandu University Journal of Science, Engineering and TechnologyVol. 13, No. 1, 2017, 20-35

Design and Implementation of Z-Source Inverter by Simple Boost Control Technique for Laboratory Scale Micro-Hydro Power Plant Application

2021 ◽  
Vol 13 (2) ◽  
pp. 62-70
Author(s):  
Rizki Mendung Ariefianto ◽  
Rizky Ajie Aprilianto ◽  
Heri Suryoatmojo ◽  
Suwito Suwito
Keyword(s):  
Power Plant ◽  
High Efficiency ◽  
Electrical Power ◽  
Harmonic Distortion ◽  
Laboratory Scale ◽  
Control Technique ◽  
Induction Generator ◽  
Duty Ratio ◽  
Hydro Power ◽  
Boost Control

In a power plant such as micro-hydropower (MHP), an induction generator (IG) is usually employed to produce electrical power. Therefore, an inverter is needed to deliver it with high efficiency. Z-source inverter (ZSI) has been introduced as a topology with many advantages over conventional inverters. This research aims to investigate the performance of ZSI based simple boost control (SBC) in laboratory-scale MHP systems using a rewinding induction generator. This research has been conducted both from simulations and experiments. Based on the result, the waveform characteristic and value of ZSI are close to the desired design. A shoot-through duty ratio of 17% can reach 60 Vrms output voltage, and this condition has a conversion ratio of about 2.05 times. Also, SBC can significantly reduce the Total Harmonic Distortion (THD). ZSI efficiency has a value of 84.78% at 50% of rating load 100 W and an average value of 80%. Compared to the previous study, the proposed design has more economical with the same component for the higher rating power. Moreover, it has a smoother and entire output waveform of the voltage.

Predicting Uncertain Behavior and Performance Analysis of the Pulping System in a Paper Industry using PSO and Fuzzy Methodology

2014 ◽  
pp. 414-449 ◽  
Author(s):  
Harish Garg ◽  
Monica Rani ◽  
S.P. Sharma
Keyword(s):  
Performance Analysis ◽  
System Performance ◽  
Paper Industry ◽  
Cost Optimization ◽  
Failure Behavior ◽  
System Behavior ◽  
Reliability Parameters ◽  
Structural Framework ◽  
And Performance ◽  
Practical Constraints

The main objective of the present study is to permit the reliability analyst or system manager to analyze the failure behavior of the system in a more consistent and logical manner. As the collected or available data from various resources are uncertain and imprecise due to various practical constraints and hence the performance of the system cannot be made up to desired levels. To cope with such situations and subjective information in a consistent and logical manner, fuzzy methodology is one of the most vital and effective tool. To this effect a structural framework has been developed by the authors for analyzing and predicting the system behavior. The pulping unit of paper industry has been taken as an illustration. The failure rates and repair times for all the constituent components are obtained by solving availability-cost optimization model using particle swarm optimization and genetic algorithm. To increase the performance of the system, various reliability parameters are computed with the obtained results using a confidence interval based fuzzy lambda-tau methodology. Sensitivity as well as performance analysis of the system performance has been done for ranking the critical component of the system as per preferential order. The computed results are compared with existing fuzzy lambda-tau and traditional (crisp) methodology results.

Design and performance analysis of impulse turbine for a wave energy power plant

2004 ◽  
Vol 29 (1) ◽  
pp. 13-36 ◽  
Author(s):  
A. Thakker ◽  
F. Hourigan ◽  
T. S. Dhanasekaran ◽  
M. El. Hemry ◽  
Z. Usmani ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Wave Energy ◽  
Impulse Turbine ◽  
And Performance

Study on Meta-Modeling Method for Performance Analysis of Digital Power Plant

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Power Plants ◽  
System Modeling ◽  
Modeling Method ◽  
Simulation Platform ◽  
Meta Modeling ◽  
And Performance ◽  
Whole Life Cycle

Abstract Digital power plant is the theory and method to improve the operating quality of power plant by quantifying, analyzing, controlling, and deciding the physical and working objects of power plants in the whole life cycle. And the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of modeling establishment and performance analysis. For instance, each component has different dimensions and different types of mathematical description, and the data or information used for modeling are defined differently and belong to different enterprises, who do not want to share their information. Meta-modeling is a potential method to solve these problems. It defines the specification to describe different kinds of elements and the relationship between different elements. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the meta-modeling method and the performance of the target power plant has been analyzed from different aspects via field data. The meta-modeling method consists of three parts: syntax definition, model development, and algorithm definition. In the comparative study between the meta-model and the traditional model, maximum average errors of the two methods are 8.72% and 4.74%, which reveals the high accuracy of the meta-modeling-based model. The result shows that the modeling and simulation platform for power plants can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.

Research on Adsorption Performance of Type III Adsorber Used in Nuclear Power Plant

2013 ◽  
Author(s):  
Xin Xu ◽  
Lian-tao Yu
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Nuclear Power Plant ◽  
Test Data ◽  
Nuclear Power ◽  
Performance Test ◽  
Type Iii ◽  
Adsorption Performance ◽  
Test Platform ◽  
And Performance

Based on operational principle and performance analysis of type III adsorber, a set of test platform for type III adsorber adsorption performance test is designed. After testing of the prototype and analyzing the test data, it is concluded that the prototype is qualified to be used in nuclear power plant and it fills the gap in China.

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