scholarly journals Forecasting voltage harmonic distortion in residential distribution networks using smart meter data

2022 ◽  
Vol 136 ◽  
pp. 107653
Author(s):  
Pablo Rodríguez-Pajarón ◽  
Araceli Hernández Bayo ◽  
Jovica V. Milanović
Keyword(s):  
Harmonic Distortion ◽  
Distribution Networks ◽  
Smart Meter ◽  
Residential Distribution

scholarly journals Assessment of the harmonic distortion in residential distribution networks: literature review

2017 ◽  
Vol 37 (3) ◽  
pp. 72-84 ◽  
Author(s):  
Joaquín E. Caicedo ◽  
Andrés A. Romero ◽  
Humberto C. Zini
Keyword(s):  
Literature Review ◽  
Harmonic Distortion ◽  
Citation Network ◽  
Distribution Networks ◽  
Analysis Method ◽  
Nonlinear Loads ◽  
Bibliographic Data ◽  
Residential Distribution ◽  
Harmonic Interaction ◽  
Modern Technologies

Harmonic distortion in residential distribution networks is increasing due to the penetration of multiple nonlinear loads, including modern technologies such as plug-in electric vehicles and energy efficient lighting (e.g., compact fluorescent and LED lamps). The distributed nature of these loads introduces complexity in the analysis of harmonic propagation. Therefore, more sophisticated tools are needed to investigate this issue, on the basis of formerly established methodologies. This paper presents a literature review on the assessment of the harmonic distortion in residential distribution networks. To that end, bibliographic data of the most representative publications related to the topic were obtained. From these data, a novel citation analysis method was developed to construct a chronologically organized direct citation network. Based on the temporal evolution of the citation network, the aforementioned issue is presented, identifying lines of research and proposed methodologies. From the analysis of the literature review, the stages for modeling and simulating harmonic propagation are identified and described. The principal aspects to be addressed for obtaining an accurate harmonic analysis are also identified and detailed, namely, harmonic interaction, diversity, unbalance, and uncertainty. Finally, main conclusions are highlighted.

A New Islanding Detection Method Based on Wavelet-transform and ANN for Micro-grid Including Inverter Assisted Distributed Generator

2019 ◽  
Vol 20 (5) ◽  
Author(s):  
Zhengyuan Guan ◽  
Yuan Liao
Keyword(s):  
Wavelet Transform ◽  
Harmonic Distortion ◽  
Distribution Networks ◽  
Islanding Detection ◽  
Detection Zone ◽  
Distributed Generator ◽  
Voltage Unbalance ◽  
Typical Distribution ◽  
Artificial Neural Network Ann ◽  
Ann Classifier

Abstract This paper presents a new composite approach based on wavelet-transform and ANN for islanding detection of distributed generation (DG). The proposed method first uses wavelet-transform to detect the occurrence of events, and then uses artificial neural network (ANN) to classify islanding and non-islanding events. Total harmonic distortion and voltage unbalance are extracted as feature inputs for ANN classifier. The performance of the proposed method is tested by simulations for two typical distribution networks based on MATLAB/Simulink. The results show that the developed method can effectively detect islanding with low misclassification. The method has the advantages of small non-detection zone and robustness against noises.

scholarly journals The Why of Adaptive Protections in Modern Electrical Networks

2019 ◽  
Vol 39 (2) ◽  
Author(s):  
Juan Martín Guardiola Montenegro ◽  
Eduardo Gómez Luna ◽  
Eduardo Marlés Sáenz ◽  
Jorge Armando De la Cruz Saavedra
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Renewable Resources ◽  
Harmonic Distortion ◽  
Distribution Networks ◽  
Electrical Networks ◽  
Dynamic Changes ◽  
Interconnected System ◽  
Electric System ◽  
Micro Grids

Electrical networks are evolving and taking on more challenges as the inclusion of renewable energy and distributed generation units increase, specially at distribution levels. Big trends of generating electricity with alternative and renewable resources has promoted the formation of distribution networks subsystems or micro grids, capable of supplying their own electric demand and to export energy to the interconnected system, if necessary. However, the effects of these generation units into the network and into the microgrid as well are many, as harmonic distortion, voltage flickers and especially in electrical protections.This paper provides an overview about implementation of renewable energy and distributed generation worldwide, as well as an introduction to microgrids concept and its main impacts and challenges into the electric systems. Finally, the main impacts of microgrid on protection equipments are presented at a distribution level, being adaptive protections one of the solutions to the dynamic changes of the electric system.

Optimal technique for total harmonic distortion detection and estimation for smart meter

2012 ◽  
Author(s):  
Eakchai Junput ◽  
Sathit Chantree ◽  
Monthon Leelajindakrairerk ◽  
Chai-Chow Chompoo-inwai
Keyword(s):  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Smart Meter ◽  
Detection And Estimation ◽  
Optimal Technique

Cryptanalysis and Improvement of Secure Key Distribution for the Smart Grid

2013 ◽  
Vol 479-480 ◽  
pp. 651-655
Author(s):  
Huei Ru Tseng ◽  
Tung Hung Chueh
Keyword(s):  
Smart Grid ◽  
Service Provider ◽  
Key Distribution ◽  
Distribution Networks ◽  
Smart Meter ◽  
Security Attacks ◽  
Energy Usage ◽  
Session Key ◽  
System Failures ◽  
Transmission And Distribution

The smart grid is a network of computers and power infrastructures that monitor and manage energy usage and uses intelligent transmission and distribution networks to deliver electricity for improving the electric system's reliability and efficiency. With grid controls, energy transmission management could be enhanced and resilience to control-system failures would be increased. Although deploying the smart grid has numerous social and technical benefits, several security concerns arise. In 2012, Xia and Wang proposed a secure key distribution for the smart grid. They claimed their protocol is strong enough to defend against security attacks. In this paper, we investigate the security of Xia and Wang's protocol. More precisely, we show that once the smart meter generates a session key with the service provider, the smart meter could easily forge the new legitimate session key without the service provider's participation. In order to remedy the security flaw, we propose a simple and secure improvement of Xia and Wang's protocol. Our protocol is secure and fair to generate the session key between the smart meter and the service provider.

scholarly journals Smart Meter Traffic in a Real LV Distribution Network

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1156 ◽  
Author(s):  
Nikoleta Andreadou ◽  
Evangelos Kotsakis ◽  
Marcelo Masera
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Distribution Network ◽  
Distribution Networks ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Distribution Grid ◽  
Message Size ◽  
Real Distribution ◽  
Advanced Metering

The modernization of the distribution grid requires a huge amount of data to be transmitted and handled by the network. The deployment of Advanced Metering Infrastructure systems results in an increased traffic generated by smart meters. In this work, we examine the smart meter traffic that needs to be accommodated by a real distribution system. Parameters such as the message size and the message transmission frequency are examined and their effect on traffic is showed. Limitations of the system are presented, such as the buffer capacity needs and the maximum message size that can be communicated. For this scope, we have used the parameters of a real distribution network, based on a survey at which the European Distribution System Operators (DSOs) have participated. For the smart meter traffic, we have used two popular specifications, namely the G3-PLC–“G3 Power Line communication” and PRIME–acronym for “PoweRline Intelligent Metering Evolution”, to simulate the characteristics of a system that is widely used in practice. The results can be an insight for further development of the Information and Communication Technology (ICT) systems that control and monitor the Low Voltage (LV) distribution grid. The paper presents an analysis towards identifying the needs of distribution networks with respect to telecommunication data as well as the main parameters that can affect the Inverse Fast Fourier Transform (IFFT) system performance. Identifying such parameters is consequently beneficial to designing more efficient ICT systems for Advanced Metering Infrastructure.

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