Voltage sag is one of the most significant power quality problems in the industry and has a
significant impact on induction motor safety and stability. This paper analyzes the …

The paper investigates the application of machine learning (ML) for voltage sag source
localization (VSSL) in electrical power systems. To overcome feature-selection challenges …

To inform the power utility and users, and help them reduce the huge financial losses due to
voltage sag, it is important to obtain information on voltage sag events in advance. This …

With the development of the modern industry, to continuously use large precision
instruments, the circuits protecting method through circuit design has gradually been …

The selection of the correct traction transformer reduces power quality (PQ) issues and
minimizes the high impact of electrified railway systems (ERS) on the electrical grid. In …

A single voltage sag source may trigger multiple power quality monitors to record waveforms
resulting in the redundancy of voltage sag monitoring data. To address this problem, a …

This work presents an innovative framework that combines the recurrence plots (RP) method
with ResNet-50 (a convolutional neural network (CNN)) to autonomously extract relevant …

Voltage sag can result in extensive losses of sensitive users. However, such losses have yet
to be quantified based on power quality monitoring data. The load loss rate (LLR) is a …

The high penetration of distributed energy sources is changing the paradigm of electrical
networks control and management. Nowadays, power conversion systems associated to …

In the deregulated power market, multiple players participate in the bidding process. The
bids provided to the ISO must consider all uncertainty to guarantee returns in investment …