A multiple strategic evaluation for fault detection in electrical power system

A new combined formalism is described to detect faults in electrical power systems in this work. The aim of fault detection is to monitor and control the system which guarantees stable supply of electrical energy to consumers. To solve this problem, it has been proposed an integrated use between state space, optimization and analytical method by establishing a methodology for its completion. Initially, state space method performs through deviations signaled by its output, an analysis with relation to direction of fault in each component of power system. Though, state space is in possession of as much information as possible coming from output signals, can identify direction where disturbance has been occurred. Finally, the processing is done by optimization and analytical methods, which analyze the exact fault type and locations, using these signs, corrective action have been taken. By using proposed technique, the tasks of fault detection, classification, and location are accomplished. The common case of faults occurring in the electrical power system has been illustrated to verify the proposed methodology.

► A combined framework for fault detection, classification, and location simultaneously has been proposed.
► We created a methodology to diagnose and indicate which component is at fault in electrical power systems.
► State space method has been presents direction of fault in each component of power system.
► Optimization and analytical methods analyze the exact fault type and locations.
► Using these signs, corrective action has been taken.