Solar power and wind are the most promising distributed energy sources. The photovoltaic system has attracted significant attention in recent years. Although their benefits are numerous, they are known to create power quality issues, because of the power electronic converters they use. This paper investigates if there is a possibility to improve power quality only by connecting a solar photovol...

Event source locating is very important to improve the power quality level. And it is a helpful way to find the location of the power quality event source to determine the direction of event at each monitor. This paper presents a method to determine the relative location of the source of voltage sag. For this, the relative location of the source is defined first. Then, the main causes of voltag...

BACKGROUND In the last decade assessing the quality of healthcare has become increasingly important across the world. Switzerland lacks a detailed overview of how quality management is implemented and of its effects on medical procedures and patients' concerns. This study aimed to examine the systematics of quality management in Switzerland by assessing the providers and collected parameters of...

This paper presents the two main types of classification methods for power quality disturbances based on underlying causes: deterministic classification, giving an expert system as an example, and statistical classification, with support vector machines (a novel method) as an example. An expert system is suitable when one has limited amount of data and sufficient power system expert knowledge; ...

This paper presents an innovative method for detecting and classifying various power system disturbances using wavelet analysis. The proposed method employs a multiresolution analysis (MRA) using localized wavelet basis functions. The nonlinear sub-band time-frequency structure extracted using the MRA can provide the needed features to detect and classify any power system transient disturbance....

Artificial Intelligence (AI) methods are increasingly being used for problem solving. This paper concerns using AI-type learning machines for power quality problem, which is a problem of general interest to power system to provide quality power to all appliances. Electrical power of good quality is essential for proper operation of electronic equipments such as computers and PLCs. Malfunction o...

ABSTRACT This paper aims to develop a new technique for the classification of various power quality disturbances using Kalman filter and Multi-layer perceptron (MLP) neural network. Kalman filter is adopted to extract the three types of input features (standard deviation, peak value and variances) from the power quality disturbance waveforms simulated on a Matlab test system. The extracted feat...