scholarly journals Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5308
Author(s):  
Alessandro Mingotti ◽  
Lorenzo Peretto ◽  
Roberto Tinarelli
Keyword(s):  
Monitoring System ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Distributed Monitoring ◽  
Power Networks ◽  
Medium Voltage ◽  
Intelligent Electronic Devices ◽  
A Current

Distribution networks are currently subject to a huge revolution in terms of assets being installed. In particular, the massive spread of renewable energy sources has drastically changed the way of approaching the grid. For example, renewables affected (i) the production of the legacy power plants, (ii) the quality of the supplied energy, decreasing it, (iii) the fault detection and location, etc. To mitigate the significant drawbacks of the renewables’ presence, several intelligent electronic devices have been (and are being) developed and installed among the grid. The aim is to increase grid monitoring and knowledge of its status. However, considering the significant number of nodes of the distribution network, compared to the transmission one, the process of installing new equipment is not effortless and is also quite expensive. This work aims at emphasizing a new concept of distributed monitoring systems, based on the phasor measurement unit’s current measurements, and a controlling algorithm to exploit it. The idea underneath the work is to avoid the out-of-service time needed and the costs associated with the installation of voltage sensors. Therefore, this paper describes an algorithm that exploits measurements from existing equipment and current measurements from PMUs to obtain information on the load and the node voltages. The algorithm is then tested on simulated power networks of increasing complexity and verified with an uncertainty evaluation. The results obtained from the simulation confirm the applicability and effectiveness of the algorithm and the benefits of a current-based monitoring system.

scholarly journals Case Study of Power Plants in the Slovak Republic and Construction of Microgrid and Smart Grid

2021 ◽  
Vol 11 (11) ◽  
pp. 5252
Author(s):  
Róbert Štefko ◽  
Zsolt Čonka ◽  
Michal Kolcun
Keyword(s):  
Smart Grid ◽  
Power Plants ◽  
Slovak Republic ◽  
New Technology ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Actual State ◽  
Transmission Systems ◽  
Current State ◽  
Reduce Emissions

To reduce emissions worldwide, decarbonization has also affected for power engineering and its conventional methods of power generation, distribution, and transmission. This fact affects not only the production of power and supply itself, but also other parts related to it, namely systems for the protection of electricity generation facilities and the location of faults in distribution networks and transmission systems. Is this new technology of renewable energy sources (RES) mastered enough to be able to replace traditional methods of energy generation reliably and safely? If we can answer the previous question, we could proceed to the next phase of putting these technologies into practice, considering the actual state of distribution networks and transmission systems. The aim of the article will be to evaluate the current state of systems and production sources of electricity in the Slovak Republic and to provide a better insight and suggestions for rebuilding current networks on a smart grid. The proposals will also include models of some RES in the Matlab/Simulink software.

scholarly journals Modeling Capacitive Low-Power Voltage Transformer Behavior over Temperature and Frequency

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1719
Author(s):  
Alessandro Mingotti ◽  
Federica Costa ◽  
Gaetano Pasini ◽  
Lorenzo Peretto ◽  
Roberto Tinarelli
Keyword(s):  
High Frequency ◽  
Renewable Energy Sources ◽  
Electronic Devices ◽  
Measurement Instruments ◽  
Voltage Measurement ◽  
Voltage Transformer ◽  
Medium Voltage ◽  
Wide Range ◽  
Power Frequency ◽  
Intelligent Electronic Devices

The use of capacitive dividers (CDs) in medium-voltage (MV) networks started as simple voltage detectors and as rough voltage measurement instruments for protective purposes. Now, with the spread of intelligent electronic devices and renewable energy sources at the distribution level, capacitive dividers are designed and installed to perform accurate voltage measurements. Such a requirement is mandatory when the power quality has to be assessed. Therefore, CDs are currently being used either for power frequency or for high-frequency (supraharmonic- or partial-discharge-level) measurements. In this paper, typical off-the-shelf CDs are studied and modeled to understand how they behave in a wide range of frequencies and when the temperature varies. To this purpose, specific setups and tests have been developed and performed. From the results, it is clear that with proper modeling of CDs, it is possible to exploit them for measuring phenomena in a wide range of frequencies, including the effects due to temperature variations and self-resonances.

scholarly journals Cloud-Based Application for Smart Grid Simulation

2016 ◽  
Vol 44 (2) ◽  
pp. 81-83
Author(s):  
Szabolcs Tar ◽  
Attila Fodor
Keyword(s):  
Renewable Energy ◽  
Smart Grids ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Decentralized Generation ◽  
Grid Simulation ◽  
New Energy ◽  
Complex Solutions ◽  
Grid Management

Abstract This study provides an overview of the content of an R&D project for increasing the efficiency of smart grids to analyse the energy market, consumption, generation, and renewable energy usage. The new energy participants, for example decentralized generation, dynamic consumption, and weather-dependent power plants, are facing challenges. This project offers solutions to these challenges: modelling of distribution networks, forecasts of renewable energy sources distributed generation (RES-DG), micro-grid management and responses to demand in new, complex solutions. A hardware device is being developed for smart grids and security modules to enhance IT security.

scholarly journals Impact of distributed generation in the electrical system of Ecuador

2020 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Edison Fabián Sumba Sumba ◽  
Angel Victor Sumba Sumba ◽  
Guillermo Antonio Loor Castillo ◽  
Jesus Alberto Pérez Rodríguez
Keyword(s):  
Electric Power ◽  
Distributed Generation ◽  
Rural Areas ◽  
Distribution System ◽  
Power Plants ◽  
Electric Energy ◽  
Distribution Networks ◽  
Energy Sources ◽  
Large Power

Decentralized generation today assumes a very important role in the stability of electric power, especially in rural areas where electric power supplied by large Power plants, is delivered to points of consumption with a poor quality of energy this due to the distance that is found, from the generation to the final consumer, the implementation of the GD is directly related to the increase in the quality of electric energy as well as providing flexibility to the electrical distribution system. The deployment of distributed generation in electricity distribution networks can potentially increase their reliability and reduce the cost of power, by installing energy sources closer to the demand or consumption points. This type of generation involves a great variety of energy sources, such as; wind, solar, hydraulic, fossil fuels, biomass, among others.

scholarly journals Nuclear Energy Perception and Ecological Attitudes

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4322
Author(s):  
Aleksandra Badora ◽  
Krzysztof Kud ◽  
Marian Woźniak
Keyword(s):  
Renewable Energy ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Computer Assisted ◽  
Global Trends ◽  
Bipolar Scale

This paper focuses on the analysis of trends in the development of nuclear energy in selected European and non-European countries in the context of the pace of renewable energy development in the world. The perception of Poles related to their openness to various energy sources against the background of European trends was also examined, as well as their ecological approach to the quality of the environment in this context. The survey was carried out using the Computer Assisted Web Interview (CAWI) technique. The total number of correctly completed forms was 923. To identify the ecological attitude, purchasing attitude, and the perception of nuclear energy, the research tool contained a number of statements on the issues studied, and the respondents assessed compliance with their opinion using a seven-point bipolar scale. The semantic differential was also used to gather opinions on the characteristics of nuclear energy. This paper shows that global trends are promoting the development of unstable renewable energy sources and the reduction of the share of nuclear power plants as an energy source. It has also been shown that the Organization for Economic Co-operation and Development (OECD) countries are more skeptical about nuclear power than countries that do not belong to the OECD (for example, China and Africa).

scholarly journals Method to determine fact and place of commercial losses in distribution networks

Vestnik IGEU ◽  
2021 ◽  
pp. 18-29
Author(s):  
I.M. Kazymov ◽  
B.S. Kompaneets
Keyword(s):  
Low Voltage ◽  
Electrical Engineering ◽  
Distribution Networks ◽  
Measuring System ◽  
Power Networks ◽  
Rigorous Results ◽  
Medium Voltage ◽  
Electric Power Networks ◽  
Unique Method ◽  
Electrical Distribution Networks

The improvement of methods to register the commercial losses in electrical distribution networks, and especially in low voltage networks, is one of the most important tasks for power supply providers. It is rather difficult to correctly register the fact of occurrence of such losses in the network. It is objectively impossible to analyze the state of the networks based on data obtained from various points of the specified network with the required accuracy. In this regard, at present no methods have been developed for remote detection of the fact and determination of the place of commercial losses in distribution networks, that could work in the mode of integration with automated information-measuring system of fiscal electricity metering. To solve this problem a method is to be developed that allows us to establish accurately for practical purposes the volume of commercial losses in the network and determine the place of their occurrence. During the research, methods of electric power networks modeling have been used. The assumption has been made about no flow of capacitive leakage currents to ground in the network, about full compliance of the line parameters with their calculated (nominal) values, as well as the basic laws of electrical engineering science. A unique method is proposed to determine the fact and the place of commercial losses in distribution networks. In contrast to the prototypes, it is based on the analysis of data obtained from metering devices, based on the key laws of electrical engineering and it allows us to get reliable arithmetically rigorous results without using fuzzy logic. The authors have proved theoretically and practically the effectiveness of the proposed solutions, and the possibility of their application. A calculation has been made to determine the place of commercial losses in the network using an example. The proposed method to determine the fact and place of commercial losses in distribution networks of low and medium voltage levels solves the problem of inability to effectively identify the points of occurrence of commercial losses in distribution networks. The reliability of the results obtained is confirmed by mathematical rigor of the method and algorithmic nature of the procedure for analyzing the distribution network.

scholarly journals Advanced Machine Learning Functionalities in the Medium Voltage Distributed Monitoring System QuEEN: A Macro-Regional Voltage Dips Severity Analysis

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7949
Author(s):  
Michele Zanoni ◽  
Riccardo Chiumeo ◽  
Liliana Tenti ◽  
Massimo Volta
Keyword(s):  
Machine Learning ◽  
Monitoring System ◽  
Software Tool ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Svm Classifier ◽  
Distributed Monitoring ◽  
Residual Voltage ◽  
Medium Voltage ◽  
Voltage Dips

This paper presents the integration of advanced machine learning techniques in the medium voltage distributed monitoring system QuEEN. This system is aimed to monitor voltage dips in the Italian distribution network mainly for survey and research purposes. For each recorded event it is able to automatically evaluate its residual voltage and duration from the corresponding voltage rms values and provide its “validity” (invalidating any false events caused by voltage transformers saturation) and its “origin”(upstream or downstream from the measurement point) by proper procedures and algorithms (current techniques). On the other hand, in the last years new solutions have been proposed by RSE to improve the assessment of the validity and origin of the event: the DELFI classifier (DEep Learning for False voltage dips Identification) and the FExWaveS + SVM classifier (Features Extraction from Waveform Segmentation + Support Vector Machine classifier). These advanced functionalities have been recently integrated in the monitoring system thanks to the automated software tool called QuEEN PyService. In this work, intensive use of these advanced techniques has been carried out for the first time on a significant number of monitored sites (150) starting from the data recorded from 2018 to 2021. Besides, the comparison between the results of the innovative technique (validity and origin of severe voltage dips) with respect to the current ones has been performed at the macro-regional level too. The new techniques are shown to have a not negligible impact on the severe voltage dips number and confirm a non-homogenous condition among the Italian macro-regional areas.

Prioritization of Medium-Voltage Wiring Actions With Artificial Intelligence Algorithm

2020 ◽  
Author(s):  
Danilo Pereira ◽  
Carlos Frederico Meschini Almeida ◽  
Fillipe Matos de Vasconcelos ◽  
Nelson Kagan ◽  
James Júnior ◽  
...  
Keyword(s):  
Power Distribution ◽  
Personal Experience ◽  
Distribution Networks ◽  
Maintenance Planning ◽  
Power Distribution Networks ◽  
Medium Voltage ◽  
Keeping Quality ◽  
Artificial Intelligence Algorithm ◽  
Tree Pruning

In power distribution networks, keeping quality of service indexes at high levels (SAIDI and SAIFI) can be accomplished through preventive maintenance interventions, which are scheduled by utility’s maintenance planning professionals. They are responsible for planning maintenance actions consisting of replacing damaged and obsolete devices and installing new devices, while respecting a certain budget availability. Among all possible actions, spacer cable (SC), phase separators (FS) and tree pruning (TP) are aimed to correct issues on medium-voltage wiring (MVW). Through these actions, impending wiring-related failures are mitigated or even avoided. Currently, utilities’ planning professionals may inaccurately determine the annual set of maintenance actions, due to the use of recorded measurements, data from multiple convoluted spreadsheets and personal experience. This paper presents the development of an automated computational tool aimed to prioritize MVW-related maintenance actions, assisting planning professionals in optimizing the use of annual available budget.

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