Fault Distance Calculation Research Articles

Arcing faults detection on transmission lines using least error squares technique

AbstractIn this paper a new numerical algorithm for arcing faults detection and fault distance calculation is presented. The solution is given in the time domain and for the most frequent single‐phase to ground fault. It was derived by processing the line terminal voltages and currents. The new algorithm can be utilized for blocking the automatic reclosing. A simple square wave arc voltage model was assumed to represent the long arc in free air. The unknown model parameters (the line resistance and inductance, and arc voltage amplitude) were estimated by using “Least Error Squares Technique”. The new algorithm was successfully tested by computer‐simulated and laboratory tests.

97/04709 Digital signal processing algorithm for arcing faults detection and fault distance calculation on transmission lines: Djuric, M. B. et al. Electrical Power and Energy Systems, 1997, 19, (3), 165–170

97/04709 Digital signal processing algorithm for arcing faults detection and fault distance calculation on transmission lines: Djuric, M. B. et al. Electrical Power and Energy Systems, 1997, 19, (3), 165–170

NUMERICAL ALGORITHM FOR ARCING FAULTS DETECTION AND FAULT DISTANCE CALCULATION ON OVERHEAD LINES

ABSTRACT In this paper a new numerical algorithm for arcing faults detection and fault distance calculation will be presented. It provides the solution for both the symmetrical and the unsymmetrical faults. The algorithm is based on the line terminal voltages and currents processing. A simple square wave are voltage model is assumed to model the long are in free air in computer simulation and algorithm development. The frequency dependence of line parameters is taken into account. A series of computer simulated and laboratory tests have shown that the new algorithm can be utilized in transmission system practice.

Digital signal processing algorithm for arcing faults detection and fault distance calculation on transmission lines

In this paper a new digital signal processing algorithm for arcing fault detection and fault distance calculation is presented. It was derived by processing the line terminal voltages and currents. A simple square wave arc voltage model was assumed to represent the long arc in free air. The unknown model parameters (the line resistance and inductance, and arc voltage amplitude) were estimated by using the least squares error technique. The new algorithm was successfully tested by computer simulated and laboratory tests.

Spectral domain arcing fault recognition and fault distance calculation in transmission systems

A new numerical algorithm for recognizing arcing faults for the purpose of automatic reclosing is presented. The fault distance can also be calculated using this algorithm. The solution for both symmetrical and unsymmetrical faults is given. A simple empirical arc voltage model is obtained through a table of numerical values. By means of computer simulation and laboratory testing it is shown that the algorithm can be used as an effective tool in transmission and distribution system protection.

Symmetrical component based improved fault impedance estimation method for digital distance protection Part II. Computational aspects and validation

Part I of the paper ( Electr. Power Syst. Res., 26 (1993) 143–147) on this subject has discussed the design aspects and the basis of the improved method for fault distance calculation. This paper deals with the computational aspects and validation of the fault impedance estimation method proposed in Part I. The performance equations of two fault impedance estimation methods that are based on the symmetrical component theory are reviewed. Also discussed are the computational aspects of these two methods. Instruction execution cycles of a TMS-320 digital signal processor are used to determine the computational requirements of the arithmetic operations of the two methods. A comparative study is also given in this paper. Definite computational advantages of the proposed method over the previously suggested methods based on symmetrical component transformation are demonstrated. The proposed method of Part I is validated using numerical examples.