Quantum mechanics

Context (archaeology)

Engineering

Fault detection and isolation

Reliability engineering

Biology

Automation

Fault coverage

Actuator

Real-time computing

Smart grid

Power (physics)

Computer science

Fault indicator

Fault (geology)

Seismology

Electronic circuit

Geology

Paleontology

Mechanical engineering

Physics

Reliability (semiconductor)

Artificial intelligence

Electrical engineering

Measurement

One of the main factors that disrupt reliability and stop energy provision is the fault occurrence in distribution networks. Thus, accurate and fast fault prediction and location in distribution networks are essential for increasing reliability, fast restoration, optimal electrical energy consumption, and customer satisfaction. This study reviews and investigates fault prediction and fault location topics. To this end, the existing methods and views in the context of fault prediction are reviewed first; then, fault location is investigated. This paper investigates various methods, their advantages, disadvantages, technical reports, and patents in conventional distribution networks, smart-grids, and micro-grids. Comparison of this study with other surveys indicates that it is more comprehensive and despite others covers fault prediction. In addition, it includes an up to date review of the methods for distance measurement and fault location considering different network types (AC/DC), presence of DG, communication and automation standards, synchronous and unsynchronous measurement, magnetic measurement, and state estimation-based fault location methods.

A survey of fault prediction and location methods in electrical energy distribution networks