A New Power Quality Instrument Based on Raspberry-Pi

Leccese, Fabio; Cagnetti, Marco; Pasquale, Stefano Di; Giarnetti, Sabino; Caciotta, Maurizio

doi:10.3390/electronics5040064

Cited by 25 publications

(20 citation statements)

References 22 publications

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“…It usually uses a directional protection relay to monitor the current flow and take appropriate action to prevent all outage case. The directional protection relay is working when the reverse power exceeds a certain percentage of the rated power output; it will trip the circuit breaker of the generator, disconnect the generator from the line under not normal circumstances, the relay setting is about 5% of the power generator [26]. The directional protection relay is located on the generator latch cabinet and is an integral part of the circuit breaker.…”

Section: Proposed Protection System Simulation and Modellingmentioning

confidence: 99%

New High-Speed Directional Relay Based on Wireless Sensor Network for Smart Grid Protection

Abdulwahid¹

2019

Telecommunication Systems - Principles and Applications of Wireless-Optical Technologies

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The production of energy from water represents large amounts of clean and renewable energy. However, only 30% of this energy has been developed so far. Hydropower, particularly hydropower plants, is not only environmentally friendly but also economical, and operates more efficiently than any other renewable energy system. Hydropower plants are largely automated and have relatively low operating costs. The main components of the power system must be continuously monitored and protected to maintain the quality and reliability of the power source. This task is provided by the data collection, monitoring and protection system. Turbines must be protected not only by short circuits but also by abnormal conditions. The proposed protection has been designed to avoid damaging the original power (motor or turbine), this usually happens when the generator fails, and the machine operates as a synchronous motor connected to the power system. In this case, the generator becomes an active load, causing a rise in temperature and severe damage to the main turbine, and hence it becomes a need to quickly detect these conditions. This study proposes a new controller for Neuro-Fuzzy to prevent reverse power flow and to keep the quality and reliability of supply. Fuzzy system network has attracted various scientific and engineering researchers. The new feature of this work is to adjust the membership function as a reverse mechanism derived of the Fuzzy Logic Controller. The smart meter network is the basis of the smart grid. In this study, smart grid meters were implemented using ZigBee technology based on wireless sensor networks. The ZigBee network of wireless sensors due to its low battery, low power consumption, become more useful than other wireless communication systems to provide a high-performance measurement. This study shows the ZigBee network using the OPNET simulation. Depending on the performance, parameters were analysed to understand the operating characteristics of the star, tree, and mesh.Although neural networks implement to solve tuning problems, the fuzzy logic controller is intended to use structured knowledge in the form of rules [4,5].The combination of Fuzzy Logic and neural networks provides the ability to solve optimisation problems. This new method consolidates the established advantages of both approaches and avoids the limitations of both approaches. Control algorithms are used to prevent unexpected fluctuations in voltage and frequency. Smart grids use energy storage systems and communication networks to ensure total coordination between power generation and energy use. Reduce the energy loss of the network to minimise demand and energy costs [6][7][8]. A reliable, real-time information flow among parts of the network is critical to the success of the smart grid self-regulation process. There are many wireless standards for technical applications [9]. One of the most popular technologies is ZigBee wireless sensor network (WSN), which is distributed on the smart grid structure, which has a lot of equipment...

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Section: Proposed Protection System Simulation and Modellingmentioning

confidence: 99%

New High-Speed Directional Relay Based on Wireless Sensor Network for Smart Grid Protection

Abdulwahid¹

2019

Telecommunication Systems - Principles and Applications of Wireless-Optical Technologies

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“…The topic of power quality (PQ) is of paramount importance for utilities and users [1][2][3], since poor PQ negatively affects both electric network infrastructure and equipment connected to the power line. In general, poor PQ is associated with the presence of different electromagnetic phenomena, commonly called PQ disturbances (PQDs), in the voltage or current signals [4,5]. In order to apply proper solutions, fast detection and accurate classification of PQDs have become fundamental features in PQ monitoring tasks.…”

Section: Introductionmentioning

confidence: 99%

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

et al. 2018

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Over the past few years, power quality (PQ) monitoring has become of paramount importance for utilities and users since poor PQ generates negative consequences. In monitoring, fast detection and accurate classification of PQ disturbances (PQDs) are desirable features. In this work, a new method to detect and classify PQDs is proposed. The proposal takes advantage of the low computational resources of both a phasor measurement unit (PMU)-based signal processing scheme and the homogeneity approach. To classify the PQDs, if–then–else rules are used. To validate and test the proposal, synthetic and real signals of sags, swells, interruptions, notching, spikes, harmonics, and oscillatory transients are considered. For the generation of real signals, a PQD generator based on a power inverter is used. In the proposed method, the PMU information is directly used to classify sags, swells, and interruptions, whereas the homogeneity index is used to distinguish among the remaining PQDs. Results show that the proposal is an effective and suitable tool for PQ monitoring.

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“…This Fog or Edge [9] computing is an important change that is required to make IoT systems more efficient and scalable. Scaling to billions of devices will only be possible if power is used efficiently through optimised computing and intelligent monitoring systems [10,11]. This will have an impact on the environment in which we live.…”

Section: Special Issue On Raspberry Pi Technologymentioning

confidence: 99%

“…The Raspberry Pi is a powerful prototyping platform, and many of the articles in this Special Issue are constructing prototypes [6,11,[17][18][19].The idea of a prototype implies a partial implementation of all the desired features, but there is often a need to build a fully functional prototype [12,22].…”

Section: Pi the Prototypementioning

confidence: 99%