Electrical power transmission systems suffer from unexpected failures due to various random causes. Un-predicted faults that occur in power systems are required to prevent from propagation to other area in the protective system. The functions of the protective systems are to detect, then classify and finally determine the location of the faulty. This paper presents some techniques that helps to find, determine and diagnosing faults in transmission line. Artificial neural networks, impedance measurement based methods, fuzzy expert method, wavelet transform and so on have been used to achieve fault identification and classification.This paper will review the type of fault that possibly occurs in an electric power system, the type of fault detection and location technique that are available together with the protection device that can be utilized in the power system to protect the equipment from electric fault.
Inhaltsverzeichnis (Table of Contents)
- I. INTODUCTION
- II. OBJECTIVE OF THE REVIEW
- III. MOTIVATION OF THE REVIEW
- IV. OVERVIEW OF TRANSMISSION LINE FAULTS
- A. Causes transmission line faults
- B. Types of transmission line Faults
- V. FAULT DETECTION TECHNIQUES OF TRANSMISSION LINE
- VI. FAULT PROTECTION DEVICES IN TRANSMISSION SYSTEM
- VII. OBSERVATIONS
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
The purpose of this paper is to review and analyze the various techniques used for fault detection, identification, and location in transmission lines. The paper aims to bring together different studies and perspectives on this critical aspect of power system operation, offering a comparative analysis and highlighting existing gaps in current research.
- Fault detection and classification techniques
- Fault location methods
- Transmission line protection devices
- Artificial intelligence and machine learning applications in fault diagnosis
- The challenges and future directions in transmission line fault analysis
Zusammenfassung der Kapitel (Chapter Summaries)
- I. INTODUCTION: This chapter introduces the problem of unexpected failures in electrical power transmission systems and the need for reliable protection systems to detect, classify, and locate faults. The chapter highlights the importance of research in fault detection and diagnosis techniques.
- II. OBJECTIVE OF THE REVIEW: This section clarifies the purpose and scope of the review paper, focusing on providing a comprehensive overview of existing fault detection, identification, and location techniques in transmission lines.
- III. MOTIVATION OF THE REVIEW: This chapter emphasizes the ongoing challenges in fault detection and diagnosis, highlighting the need for further research and development in this field.
- IV. OVERVIEW OF TRANSMISSION LINE FAULTS: This chapter provides a detailed overview of transmission line faults, covering their causes and classification. The chapter categorizes faults into series and shunt faults, explaining their characteristics and impact on power systems.
- V. FAULT DETECTION TECHNIQUES OF TRANSMISSION LINE: This chapter discusses various fault detection techniques, categorized into classification methods (determining fault types) and location methods (calculating fault distances). It presents a detailed overview of different approaches, including machine learning techniques like support vector machines, artificial neural networks, and fuzzy logic systems. Other methods like wavelet transform, PMU-based techniques, and genetic algorithms are also discussed.
- VI. FAULT PROTECTION DEVICES IN TRANSMISSION SYSTEM: This chapter examines different types of protection devices used in transmission systems, explaining their functions and purpose in identifying and responding to abnormal signals indicating faults. It discusses various devices like circuit breakers, fuses, lightning arrestors, and protective relays.
- VII. OBSERVATIONS: This chapter provides a critical analysis of the discussed techniques, highlighting their advantages, limitations, and areas for future development. It also discusses the potential of integrating different approaches for more effective fault detection and location.
Schlüsselwörter (Keywords)
The main keywords and focus topics of this paper include transmission line faults, fault detection, fault classification, fault location, artificial neural networks, fuzzy logic systems, wavelet transform, support vector machines, PMU-based techniques, protection devices, and machine learning in power systems.
- Quote paper
- Seada Hussen Adem (Author), 2020, Fault Detection, Protection and Location on Transmission Line. A Review, Munich, GRIN Verlag, https://www.grin.com/document/936637
