期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 5, 期 1, 页码 200-208出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2013.2278865
关键词
Classification; decision tree (DT); distributed generation (DG); HS-transform (HST); power quality (PQ); support vector machines (SVMs)
资金
- FEDER funds (European Union) through COMPETE
- Portuguese funds through FCT [FCOMP-01-0124-FEDER-020282, PTDC/EEA-EEL/118519/2010, PEst-OE/EEI/LA0021/2013]
- EU [309048]
Penetration of distributed generation systems in conventional power systems leads to power quality (PQ) disturbances. This paper provides an improved PQ disturbances classification, which is associated with load changes and environmental factors. Various forms of PQ disturbances, including sag, swell, notch, and harmonics, are taken into account. Several features are obtained through hyperbolic S-transform, out of which the optimal features are selected using a genetic algorithm. These optimal features are used for PQ disturbances classification by employing support vector machines (SVMs) and decision tree (DT) classifiers. The study is supported by three different case studies, considering the experimental setup prototypes for wind energy and photovoltaic systems, as well as the modified Nordic 32-bus test system. The robustness and precision of DT and SWM are performed with noise and harmonics in the disturbance signals, thus providing comprehensive results.
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