Power quality disturbance (PQD) is an important issue in electrical distribution systems that needs to be detected promptly and identified prevent the degradation of system reliability. This work proposes a PQD classification using novel algorithm, comprised artificial bee colony (ABC) particle swarm optimization (PSO) algorithms, called “adaptive ABC-PSO” as feature selection algorithm. The pr...

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The modern industrial facility depends on sensitive electronic equipment that can be shut down suddenly by severe power system disturbances. A large number of these disturbances on the power system are a result of line faults which can cause momentary voltage sags. This results in equipment malfunctioning and high cleanup cost. This papers describes some of the emerging opportunities for new se...

Automatic extraction of power lines using airborne LiDAR (Light Detection and Ranging) data has been one of the most important topics for electric power management. However, this is very challenging over complex urban areas, where power lines are in close proximity to buildings and trees. In this paper, we presented a new, semi-automated and versatile framework that consists of four steps: (i) ...

Power quality (PQ) monitoring is important for both the utilities and also users of electric power. The most widespread measurement instrument used PQ PQM (Power Quality Monitor) or PQA Analyzer). In this paper we propose usage PMU data parameters monitoring. We present a new methodology classification based on data. proposed tested with real measurements performed in distribution system using ...