Contingency evaluation of the nigerian 330kv transmission grid

 

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 Transmission Grids
  • 2.2History of Electricity Transmission
  • 2.3Importance of 330kV Transmission Grids
  • 2.4Challenges in 330kV Grid Management
  • 2.5International Case Studies
  • 2.6Best Practices in Grid Contingency Evaluation
  • 2.7Technologies for Grid Monitoring and Analysis
  • 2.8Regulatory Framework in Transmission Grids
  • 2.9Economic Impacts of Grid Contingencies
  • 2.10Future Trends in Grid Evaluation

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design and Methodology
  • 3.2Selection of Research Methods
  • 3.3Data Collection Techniques
  • 3.4Sampling Procedures
  • 3.5Data Analysis Methods
  • 3.6Ethical Considerations
  • 3.7Quality Assurance Measures
  • 3.8Research Limitations

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Overview of Research Findings
  • 4.2Analysis of Grid Contingencies
  • 4.3Impact Assessment of Contingencies
  • 4.4Mitigation Strategies
  • 4.5Comparison with Industry Standards
  • 4.6Recommendations for Improvement
  • 4.7Future Research Directions
  • 4.8Implications for Policy and Practice

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Conclusions Drawn from the Study
  • 5.3Contributions to the Field
  • 5.4Recommendations for Further Research
  • 5.5Practical Implications
  • 5.6Final Thoughts and Closing Remarks

Project Abstract

<p> A single line contingency analysis and generator(s) outages were carried out on 330kV, 27-Bus power network using MATPOWER 4.1 embedded in MATLAB to carry out fast decoupled load flow studies in order to identify the voltage violation at various buses, determine power losses at the transmission lines and to compute the performance indices. The performance indices were further ranked in accordance with their severity index. Voltages less than 0.95pu were assumed to be low voltages and voltages greater than 1.05pu were also assumed to be high voltages. We also assumed that power losses greater than 5% are unacceptable. So a base case comparative analysis of the load flow studies using three conventional methods showed that Gauss Seidel could not converge in 0.93seconds and 1000 iterations, Newton Raphson converged in 0.15seconds and 6 iterations. However, Fast Decoupled Load Flow converged in 0.01second and 28 iterations. Hence, owing to its time for numerical iteration, its capacity to hold as many data as possible and its merit of having a matrix alteration formula that can be incorporated and used to simulate problem of contingencies involving power system equipment outages without involving the inversion of the Jacobian matrix for all iteration, then FDLF is considered extensively in the research work. Thereafter, outages of one and two generators are considered to investigate their effect on the voltage drop and power loss. Further, N-1 secure was also carried out on the transmission lines to investigate the performance indices of the lines which were later ranked in accordance with their severity. The outcome of the simulations showed that at a time when there was an outage of Kainji-GS, low voltages were found at Kano, Jos, Gombe, Kaduna, Katampe, Oshogbo, Ajaokuta, New Haven, Aiyede, Ikeja-West, Onitsha, and Akangba buses. And there were also power losses greater than 5% at Ikeja-West to Egbin, Ikeja-West to Benin, Oshogbo to Benin, Kaduna to Shiroro, Kano to Kaduna, Jos to Kaduna and Jos to Gombe. Moreso, it is pertinent to mention that the outage of Kainji GS and the outage of Calabar and Sapele GS showed low voltages at the same buses. The single line contingency evaluation carried out shows that transmission lines from Kaduna to Shiroro have the highest performance indices and ranked number one. The ranking continued until the line with the least severity index which was found to be Jebba GS to Jebba TS. <br></p>

Project Overview

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