Classification of Many Abnormal Events in Radial Distribution Feeders Using the Complex Morlet Wavelet and Decision Trees
Autor: | Constantine J. Hatziadoniu, Mishari Metab Almalki |
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Rok vydání: | 2018 |
Předmět: |
Control and Optimization
Yield (engineering) Computer science 020209 energy Decision tree high impedance fault (HIF) incipient fault (IF) circuit breaker (CB) restrikes wavelet transforms medium-voltage distribution system Energy Engineering and Power Technology 02 engineering and technology Power factor lcsh:Technology Electric arc High impedance Sampling (signal processing) SCADA 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) Electrical impedance Circuit breaker lcsh:T Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Wavelet transform Pattern recognition Morlet wavelet Artificial intelligence business Energy (miscellaneous) |
Zdroj: | Energies, Vol 11, Iss 3, p 546 (2018) Energies; Volume 11; Issue 3; Pages: 546 |
ISSN: | 1996-1073 |
Popis: | Monitoring of abnormal events in a distribution feeder by using a single technique is a challenging task. A number of abnormal events can cause unsafe operation, including a high impedance fault (HIF), a partial breakdown to a cable insulation, and a circuit breaker (CB) malfunction due to capacitor bank de-energization. These abnormal events are not detectable by conventional protection schemes. In this paper, a new technique to identify distribution feeder events is proposed based on the complex Morlet wavelet (CMW) and on a decision tree (DT) classifier. First, the event is detected using CMW. Subsequently, a DT using event signatures classifies the event as normal operation, continuous and non-continuous arcing events (C.A.E. and N.C.A.E.). Additional information from the supervisory control and data acquisition (SCADA) can be used to precisely identify the event. The proposed method is meticulously tested on the IEEE 13- and IEEE 34-bus systems and has shown to correctly classify those events. Furthermore, the proposed method is capable of detecting very high impedance incipient faults (IFs) and CB restrikes at the substation level with relatively short detection time. The proposed method uses only current measurements at a low sampling rate of 1440 Hz yielding an improvement of existing methods that require much higher sampling rates. |
Databáze: | OpenAIRE |
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