An insulation co-ordination procedure for power system equipment

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Insulation Co-ordination
  • 2.2Historical Perspective
  • 2.3Insulation Materials and Properties
  • 2.4Insulation Coordination Standards
  • 2.5Insulation Testing Methods
  • 2.6Insulation Monitoring Techniques
  • 2.7Case Studies in Insulation Co-ordination
  • 2.8Challenges in Insulation Co-ordination
  • 2.9Emerging Trends in Insulation Co-ordination
  • 2.10Future Directions in Insulation Co-ordination

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Methodology Overview
  • 3.2Research Design and Approach
  • 3.3Data Collection Methods
  • 3.4Sampling Techniques
  • 3.5Data Analysis Procedures
  • 3.6Validity and Reliability
  • 3.7Ethical Considerations
  • 3.8Limitations of Methodology

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Overview of Research Findings
  • 4.2Analysis of Data
  • 4.3Interpretation of Results
  • 4.4Comparison with Existing Literature
  • 4.5Implications of Findings
  • 4.6Recommendations for Practice
  • 4.7Recommendations for Future Research
  • 4.8Conclusion of Findings

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Research
  • 5.2Conclusions Drawn
  • 5.3Contributions to Knowledge
  • 5.4Practical Implications
  • 5.5Recommendations for Implementation
  • 5.6Areas for Future Research

Project Abstract

<p> Generally, for existing Insulation co-ordination studies the power system has been modeled either by deterministic mathematical techniques or by statistical methods. The shortcoming of the existing conventional mathematical technique of Insulation co-ordination analysis is that it assumes that the power system dynamics is linear. This makes analysis of over voltage response of the system under transients less optimal for determining over voltage withstand of system elements. Thus, this work seeks to model a lightning induced over voltage transient in a High voltage power system substation(132/33KV) used as a case study) using Hidden Markov Model, to determine the maximum likelihood lightning surge signal. The station data and configuration was modeled/simulated (in a MATLAB environment), which implements the algorithms used in the work. The Hidden Markov algorithm(which makes use of observable parameters to study what is happening at the hidden states), was used to formulate the problem, while the Baum-welch and Viterbi algorithm were used to find/identify the maximum likelihood lightning overvoltage waveform. These hidden states are represented with different scenarios introduced in the work and the waveform identified, is used to determine the Basic Insulation level(BIL), which is used to determine other parameters accurately, which in turn helps to ensure an optimal/novel Insulation coordination procedure for power system equipment in the station. The results showed that the minimum required margin(15%) exceeded by a little value(i.e. about 1.08) and the evaluation carried out to raise the protection margin to 18% meant the relocation of the arrester to within 5.56m of the transformer. <br></p>

Project Overview

Blazingprojects Mobile App

📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Electrical electroni. 2 min read

Smart Grid Demand Response Control Using Edge Analytics and Renewable Integration N...

What This Project Is About A beginner-friendly explanation of how smart grids can adjust electricity use in real time by using local data and small edge devices...

BP
Blazingprojects
Read more →
Electrical electroni. 3 min read

Smart Grid Fault Detection and Localization Using Distributed Sensor Networks...

What This Project Is About A straightforward look at how smart grids can quickly detect faults and pinpoint where they occur by using a network of small, inexpe...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Fault Detection using IoT-based Sensor Network Note: If you want more op...

What This Project Is About Develop a system that can monitor the electrical grid in real time using small sensors and internet connectivity. The project investi...

BP
Blazingprojects
Read more →
Electrical electroni. 3 min read

Smart Low-Cost IoT-Based Energy Management System for Microgrids...

What This Project Is About A plain-language overview of how small energy systems can be monitored and controlled using affordable sensors and internet tools to ...

BP
Blazingprojects
Read more →
Electrical electroni. 4 min read

Smart Grid Fault Detection and Localization using Hybrid Fuzzy-Neural Network and Ph...

What This Project Is About This project explores how a smart electrical grid can automatically detect and locate faults using a combination of fuzzy logic (huma...

BP
Blazingprojects
Read more →
Electrical electroni. 4 min read

Smart LVDC Microgrid with Real-Time Energy Management and Batteryless Solar Inverter...

What This Project Is About This project explores a small-scale, low-voltage direct current (LVDC) microgrid that can manage energy in real time. It also investi...

BP
Blazingprojects
Read more →
Electrical electroni. 4 min read

Smart Grid Demand Response using IoT and Machine Learning for Energy Optimization...

What This Project Is About A practical study that looks at how a smart electrical grid can respond to changing electricity use in real-time. It combines Interne...

BP
Blazingprojects
Read more →
Electrical electroni. 3 min read

Smart Grid Fault Detection and Isolation Using IoT and Machine Learning...

What This Project Is About A plain-language overview of how smart grids, real-time monitoring, and learning algorithms work together to detect faults in electri...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Fault Detection and Isolation Using IoT-Enabled Phasor Measurement Units ...

What This Project Is About A plain-language overview of the topic and what the project investigates. The Problem It Addresses What problem or gap this project ...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us