2018 · 80 citations · 21 references
Electrical EngineeringEngineeringIntegral Mathematical ModelSmart GridPower QualityElectric Power QualityIntegral ModelSystems EngineeringPower System DynamicSignal ProcessingMathematical ModelsPower SystemsPower System Analysis
Power quality (PQ) disturbances lead to severe problems in industries and electrical grids. To mitigate PQ problems, the accurate detection and classification of the possible disturbances are essential. A large number of studies exists in this field. The first research step in these studies is to obtain several distorted signals to test the classification systems. In this regard, the most common trend is the generation of signals from mathematical models. In the literature, we can find several models with significant differences among them. However, to the best of our knowledge, there is no integral model that considers all types of distortions. This work presents an integral mathematical model based on the models found in the literature. The model also includes new types of combined disturbances. Twenty-nine disturbances are considered. Additionally, this work includes a software version of this integral model that is publicly available to be used by any interested researcher. In this way, PQ disturbances can be generated in a fast and automatic way. This software aims to facilitate future studies, supporting researchers in the modelling stage.
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Jianmin Li, Zhaosheng Teng, Qiu Tang et al. · IEEE Transactions on Instrumentation and Measurement · 2016 · 234 citations
Electrical Engineering, Effective Feature Extraction, Accurate Detection +14
Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals
Fábbio A. S. Borges, Ricardo A. S. Fernandes, Ivan Nunes da Silva et al. · IEEE Transactions on Industrial Informatics · 2015 · 232 citations · Full text
Electrical Engineering, Engineering, Feature Extraction Step +14