Measurements have shown that the harmonic currents emitted by lamps with electronic ballast depend on the circuit topology and the existing supply voltage distortion. This paper quantifies the impact of supply voltage distortion on the harmonic and supraharmonic current emission of individual Light Emitting Diode (LED) lamps and compact fluorescent lamps (CFL). It also characterizes several Power Quality (PQ) parameters when those lamps are connected to pure sinusoidal waveform.

As the number of facilities adopting a Building Management System under the Industry 4.0 paradigm increases, it is critical to ensure the good health of their operations. Business continuity and uninterrupted operations are key requirements for any building, for which Power Quality and Supply Reliability sophisticated monitoring can play an extremely important role. Submetering, as opposed to bulk-metering, implies measuring power consumption for individual units or appliances in a building complex. An Internet of Things mesh network, which brings ubiquitous power quality submetering inside the entire facility, would be extremely beneficial for the management of the building thus ensuring seamless business operations. This work describes a novel low-cost Internet of Things sensor for measuring and analyzing power quality at the input of any individual Alternating Current (AC) appliance, providing an early detection and analysis system which controls those critical variables inside the facility and leads to anticipate faults with early-stage alerts based on on-time data streams treatment. Moreover, the recorded power quality parameters that are processed in the Cloud system can help to reduce energy consumption, as power quality disturbances can be automatically analyzed and even compared to standard values. The proposed Internet of Things sensor will help users to detect most power quality steady-state and events disturbances, while monitoring the energy consumption. This Internet of Things Power Quality sensor is built around a flexible microcontroller, which manages an energy metering Integrated Circuit (IC) through Serial Peripheral Interface (SPI), increasing its original capabilities by including new sophisticated software functionality. Additionally, it wirelessly communicates with a cloud-based Internet of Things Platform to allow the storage and supervision of the different power quality events for the entire facility. An example of the access to the data is also included.

This paper presents the measurement and characterization of voltage supraharmonic emission (in the frequency range 2-150 kHz) at different European and North American low-voltage networks. This knowledge is needed to be able to better predict the impact of new equipment on the voltage and current distortion in the low-voltage network. This work presents a discussion serving as a guide for future standardization of voltage supraharmonic levels, as it presents an overview of real values measured in the power grid in different countries.

Power quality (PQ) has been increasing interest in recent years due to the high integration of sources of distributed generation (DG) in the electricity market. This interest has led a considerable amount of research into early detection of faults and their in processes in operation. This paper presents the design and implementation of an educational platform based on embedded electronic systems to operate in real time in DG framework. We contend that the causal relationship between building model solutions and developing products from these solutions provides a sound basis for industrial strength software engineering. The proposed test bench enables both undergraduate and graduate electrical and electronics engineering students to analyze the modelling techniques developed for event analysis. The architecture has been specially configured to assess the efficiency of algorithms when they are executed in real time. A case study, as well as the experimental results, are presented, which show and address the performance of the educational platform.

This paper describes a laboratory setup that allows students to gain knowledge in Electrical Engineering and Electronics. In this paper, the developed lab for power quality (PQ) monitoring is described. The set is implemented using the National Instrument (NI) Educational Laboratory Virtual Instrumentation Suite (ELVIS) and custom-made load boards. The software is based on the NI LabVIEW development environment. The set has been developed and employed for teaching electronic and instrumentation courses within the Master's degree in Distributed Renewable Energies from the University of Cordoba. The paper shows different practical lessons that are designed to perform typical PQ measurements such as power, frequency, RMS or THD.

The increase in the number of facilities embarking on the fully automated production journey, under the Industry 4.0 paradigm, is making critical the guarantee of good health of their operations. Uninterrupted operations & business continuity are key requirements for any plant, for which power quality (PQ) play an extremely important role. Voltage sags are one of the most critical PQ disturbances in the grid, so that early detection and analysis are essential for improving the continuity of supply and enhancing the productivity in any automatized facility. An Internet of Things (IoT) solution that distributed monitors and controls this critical variable would be extremely beneficial for the management of the facility and thus ensures seamless business operations. This paper describes the development of a low-cost embedded device for detecting and analyzing the voltage sags and Voltage Root Mean Square of the AC power supply. The proposed IoT sensor is built around a flexible microcontroller, which manages an energy metering IC through SPI Interface, uprising its original capabilities by including new sophisticated software functionality. Additionally, it wirelessly communicates with a cloud-based platform to allow the storage and supervision of the different events for the entire facility.