Title :
A parameter-based process for selecting high impedance fault detection techniques using decision making under incomplete knowledge
Author :
Kim, C.J. ; Russell, B. Don ; Watson, Karan
Author_Institution :
Texas A&M Univ., College Station, TX, USA
fDate :
7/1/1990 12:00:00 AM
Abstract :
Using varying environmental parameters and nonadapting detection techniques, the authors propose a generic method for choosing the fault detection technique or techniques which are most appropriate for a given set of conditions. This result is achieved using a decision-making method under incomplete knowledge. The performance of each detection technique is derived under various conditions and environments with this method. The method is not yet complete because the performance outcome of all techniques is not fully defined. However, it provides a head start when attempting to optimize detection given consideration of a wide variety of techniques, parameters, and environmental parameters
Keywords :
decision theory; electric impedance; fault location; power systems; decision making; environmental parameters; generic method; high impedance fault detection techniques; incomplete knowledge; nonadapting detection techniques; parameter-based process; performance; power systems; Decision making; Electrical fault detection; Fault detection; Optimization methods; Power industry; Senior members; Soil; Student members; Surface impedance; Tiles;
Journal_Title :
Power Delivery, IEEE Transactions on