Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration
The global concern with power quality is increasing due to the penetration of renewable
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …
[HTML][HTML] Deep learning for power quality
RA de Oliveira, MHJ Bollen - Electric Power Systems Research, 2023 - Elsevier
This paper aims to introduce deep learning to the power quality community by reviewing the
latest applications and discussing the open challenges of this technology. Publications …
latest applications and discussing the open challenges of this technology. Publications …
A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network
S Wang, H Chen - Applied energy, 2019 - Elsevier
With the integration of multiple energy systems, there are more and more deterioration risks
of power quality in different energy production, transformation, delivery and consumption …
of power quality in different energy production, transformation, delivery and consumption …
A reinforcement learning-based energy management strategy for fuel cell hybrid vehicle considering real-time velocity prediction
The fuel cell vehicle is an ideal new energy vehicle development direction, and its energy
management strategy is one of the core technologies to ensure the safe and efficient …
management strategy is one of the core technologies to ensure the safe and efficient …
A critical review of detection and classification of power quality events
Requirement of green supply with higher quality has been consumers' demand around the
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …
A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
Abstract Automatic classification of Power Quality Disturbances (PQDs) is a challenging
concern for both the utility and industry. In this paper, a novel technique of automatic …
concern for both the utility and industry. In this paper, a novel technique of automatic …
Optimally detecting and classifying the transmission line fault in power system using hybrid technique
In this paper, a hybrid system is proposed to predict and classifies the power system
transmission line faults. The proposed technique is the consolidation of both the truncated …
transmission line faults. The proposed technique is the consolidation of both the truncated …
Situational awareness in distribution grid using micro-PMU data: A machine learning approach
The recent development of distribution-level phasor measurement units, also known as
micro-PMUs, has been an important step toward achieving situational awareness in power …
micro-PMUs, has been an important step toward achieving situational awareness in power …
A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances
S Khokhar, AABM Zin, ASB Mokhtar… - … and Sustainable Energy …, 2015 - Elsevier
The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …
at the generation, transmission and distribution systems. The PQ disturbances are produced …
A critical and comprehensive review on power quality disturbance detection and classification
P Khetarpal, MM Tripathi - Sustainable Computing: Informatics and …, 2020 - Elsevier
With an elevating demand and use of power electronics equipment, green energy and the
development of smart grids, power quality disturbance detection and classification holds …
development of smart grids, power quality disturbance detection and classification holds …