An Overview to Fault Location Methods in Distribution System Based on Single End Measures of Voltage an Current.

Abstract

The problem of fault location has been studied deeply for transmission lines due its importance in the power system. Nowadays the problem of fault location on distribution systems is receiving special attention mainly because of the power quality regulations. This paper presents some of the most relevant methods for fault location in radial power systems. Additionally here is presented an hybrid fault location algorithm which takes advantage of both, the algorithmic and the knowledge based methods. The obtained results from fault location methods help utilities in both network operation and network planning.

Fault location in power networks using graph theory

“…(8) shows the identified faulty line connected to node 4 and node 5. Finally, substituting the values of t and d for the faulty line from equation (9) and equation (11) in equation (3), we calculate the fault at a distance of 33.315 km from node 4 or 88.685 km from node 5.…”

“…Mora et al [9] gave an overview of fault location methods based on current and voltage measurements at one end. Han et al [10] proposed a fault location algorithm for radial distribution systems with single-ended measurements using a sinusoidal steady state analysis method.…”

Fault Detection and Localization using Continuous Wavelet Transform and Artificial Neural Network Based Approach in Distribution System

“…The fault localization algorithm requires a machine learning technique with estimation and prediction property in it. The attributes are calculated from the fault signal are utilized to train the proper neural architecture in MATLAB [15] environment. The "Levenberg-Marquardt" training algorithm is used for the training purpose.…”

“…The power system is dynamically changing regarding topology, loading, etc. The impact of this change mainly comes due to the dynamically changing load [15]. With the change in load, the steady-state value of the current also varies.…”

“…The error in location estimation is nearly around 10 m. In the past several years, different researchers have proposed various fault-location estimation techniques. Mirzaei et al [14] and Mora et al [15] Saha et al [16] reviewed different methods of localizing faults such as impedance-based, frequency, and knowledge-based methods. According to Mirzaei et al, highfrequency based method along with knowledge-based methods gives a much accurate result in fault localization.…”