Newly Implemented Real-Time PQ Monitoring for Transmission 4.0 Substations-Reference-Cited by-同舟云学术

Newly Implemented Real-Time PQ Monitoring for Transmission 4.0 Substations

Published:2022-03 Issue: Volume:204 Page:107709
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Alberto Matheus,Soares Guilherme M.,Silva Leandro R.M.,Duque Carlos A.,Decker Ildemar C.,Ribeiro Paulo F.,Junio Eden L.C.,Fvaro Alexandre D.,Passos Luis Fernando

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Instituto Nacional de Energia Elétrica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference29 articles.

1. BENCHMARKING OF POWER QUALITY PERFORMANCE IN TRANSMISSION SYSTEMS;C4.27/CIRED;Technical Brochures,2017

2. Guidelines for power quality monitoring - results from CIGRE/CIRED JWG C4.112;J. Kilter,2014

3. Impacts of renewable energy integration into the high voltage (hv) networks;Shafiullah,2016

4. The substation of the future: Moving toward a digital solution;Hunt,2019

5. IEC 61850 based substation automation system: A survey;Aftab;International Journal of Electrical Power & Energy Systems,2020

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Calibration of a Class A Power Quality Analyser Connected to the Cloud in Real Time;Electronics;2024-08-13

2. A Data-Driven Time-Synchronization Method to Convert Power Quality Waveform Measurements into Synchro-Waveforms;2024 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA);2024-05-21

3. Power quality monitoring in electric grid integrating offshore wind energy: A review;Renewable and Sustainable Energy Reviews;2024-03

4. Application of industrial robot based on infrared sensor technology in monitoring of electrical equipment;Applied Mathematics and Nonlinear Sciences;2024-01-01

5. Refined convolution‐based measures for real‐time harmonic distortions estimation in power system dominated by inverter‐based resources;IET Power Electronics;2023-09-30