R Igual, C Medrano - Renewable and Sustainable Energy Reviews, 2020 - Elsevier
Microgrids with distributed renewable energy sources are especially sensitive to power quality disturbances. To mitigate the effects of distortions, they must first be detected and …
N Gopinathan, PK Shanmugam - Energies, 2022 - mdpi.com
The automobile sector is a promising avenue for enhancing energy security, economic opportunity, and air quality in India. Before penetrating a large number of electric vehicles …
FZ DEKHANDJI, S Talhaoui, Y Arkab - Algerian Journal of Signals and …, 2019 - ajss.dz
Abstract In recent years, Power Quality becomes increasingly a major concern for both electric utilities and end users. Accordingly, the electrical engineering community has to deal …
This paper introduces an improved detection and classification technique of harmonic signals in power distribution using time-frequency distribution (TFD) analysis which is …
Z Chen, M Li, T Ji, Q Wu - IEEJ Transactions on Electrical and …, 2020 - Wiley Online Library
This paper proposes a novel integrated solution for real‐time power quality (PQ) disturbance analysis. Traditionally, the recognitions are based on the feature extraction and are …
This paper presents an accurate classification method of harmonic signal in power distribution system by using S-transform (ST). ST has a capability of representing signals in …
AM Stanisavljević, VA Katić, BP Dumnić… - Acta Polytechnica …, 2019 - epa.niif.hu
The rapid trends towards smart grids and implementation of distributed generation (DG) and renewable energy sources bring new challenges in power quality domain. Modern …
FZ Dekhandji, MC Rais - … and Measuring Smart Grid Operation and …, 2021 - igi-global.com
In recent years, power quality (PQ) has become an increasingly major concern for both electric utilities and the end users. Accordingly, the electrical engineering community has to …
R Qi, O Zyabkina, DA Martinez, J Meyer - Renew. Energy Power Qual …, 2021 - icrepq.com
This paper presents a comprehensive framework for voltage notch analysis and an automatic method for notch detection using a nonlinear support vector machine (SVM) …