{"title":"An Effective Islanding Detection and Classification Method Using Neuro-Phase Space Technique","authors":"Aziah Khamis, H. Shareef","volume":78,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":711,"pagesEnd":720,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/1959","abstract":"The purpose of planned islanding is to construct a\r\npower island during system disturbances which are commonly\r\nformed for maintenance purpose. However, in most of the cases\r\nisland mode operation is not allowed. Therefore distributed\r\ngenerators (DGs) must sense the unplanned disconnection from the\r\nmain grid. Passive technique is the most commonly used method for\r\nthis purpose. However, it needs improvement in order to identify the\r\nislanding condition. In this paper an effective method for\r\nidentification of islanding condition based on phase space and neural\r\nnetwork techniques has been developed. The captured voltage\r\nwaveforms at the coupling points of DGs are processed to extract the\r\nrequired features. For this purposed a method known as the phase\r\nspace techniques is used. Based on extracted features, two neural\r\nnetwork configuration namely radial basis function and probabilistic\r\nneural networks are trained to recognize the waveform class.\r\nAccording to the test result, the investigated technique can provide\r\nsatisfactory identification of the islanding condition in the\r\ndistribution system.","references":"[1] M. Moradzadeh, M. Rajabzadeh, and S. M. T. Bathaee, \"A novel hybrid\r\nislanding detection method for distributed generations,\" in Proc. 3rd Int.\r\nConf. Electric Utility Deregulation and Restructuring and Power\r\nTechnologies, Nanjing, China, 2008, pp. 2290-2295.\r\n[2] R. Shariatinasab, \"New islanding detection technique for DG using\r\ndiscrete wavelet transform,\" in Proc. IEEE Int. Conf. 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