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Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid With Renewable Energy Penetration

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TLDR
A critical review of techniques used for detection and classification PQ disturbances in the utility grid with renewable energy penetration is presented, to provide various concepts utilized for extraction of the features to detect and classify the P Q disturbances even in the noisy environment.
Abstract
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 quality (PQ) disturbances are found to be more predominant with RE penetration due to the variable outputs and interfacing converters. There is a need to recognize and mitigate PQ disturbances to supply clean power to the consumer. This article presents a critical review of techniques used for detection and classification PQ disturbances in the utility grid with renewable energy penetration. The broad perspective of this review paper is to provide various concepts utilized for extraction of the features to detect and classify the PQ disturbances even in the noisy environment. More than 220 research publications have been critically reviewed, classified and listed for quick reference of the engineers, scientists and academicians working in the power quality area.

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Journal ArticleDOI

Instantaneous Disturbance Index for Power Distribution Networks.

TL;DR: In this article, a wavelet-based power quality index (PQI) is proposed to quantify the effects of nonstationary disturbances with high resolution and precision in power distribution networks under steady-state and/or transient conditions.
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The “Smart” Concept from an Electrical Sustainability Viewpoint

TL;DR: In this article , an integrative conceptualization of the smart context, a literature review of recent advances, and a deep discussion of how enabling technologies and current technological trends based on energy consumption are shaping the ongoing efforts toward a sustainable future.
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Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach

TL;DR: In this article, the authors presented two extensions of this problem, which consider a higher degree of flexibility, and which increase the practical relevance of the problem and allow the use of mathematical programming for their solution.
Proceedings ArticleDOI

Application of Signal Processing and Machine learning on Power Quality Disturbance with RE Penetration: A Review

TL;DR: In this article , various methods for identifying and categorizing power quality disturbance caused by the penetration of renewable energy sources (RES) in the system are evaluated, including feature removal and categorization of PQ instabilities, as well as additional strategies for PQ disturbance reduction.
References
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