Khamis, Aziah and H, Shareef (2013) An Effective Islanding Detection and Classification Method Using Neuro-Phase Space Technique. In: World Academy of Science, Engineering and Technology, 27-28 July 2013, Holiday Inn, Hotel Paris.
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Abstract
The purpose of planned islanding is to construct a power island during system disturbances which are commonly formed for maintenance purpose. However, in most of the cases island mode operation is not allowed. Therefore distributed generators (DGs) must sense the unplanned disconnection from the main grid. Passive technique is the most commonly used method for this purpose. However, it needs improvement in order to identify the islanding condition. In this paper an effective method for identification of islanding condition based on phase space and neural network techniques has been developed. The captured voltage waveforms at the coupling points of DGs are processed to extract the required features. For this purposed a method known as the phase space techniques is used. Based on extracted features, two neural network configuration namely radial basis function and probabilistic neural networks are trained to recognize the waveform class. According to the test result, the investigated technique can provide satisfactory identification of the islanding condition in the distribution system.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering > Department of Industrial Power |
| Depositing User: | MRS Aziah Khamis |
| Date Deposited: | 25 Jul 2013 04:04 |
| Last Modified: | 28 May 2015 03:59 |
| URI: | http://eprints.utem.edu.my/id/eprint/8855 |
| Statistic Details: | View Download Statistic |
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