Identification of Fault Type and Location in Distribution Feeder Using Support Vector Machines
نویسندگان
چکیده
This paper presents a support vector machine (SVMs) approach for locating and diagnosing faults in electric power distribution feeders. The proposed approach is based on the measurements available at the substation and remote terminal units (RTUs). To illustrate the proposed methodology, a practical distribution feeder emanating from 132/11KV-grid substation in India with loads is considered. To show the effectiveness of the proposed methodology, practical situations in distribution systems (DS) such as all types of faults with a wide range of varying fault locations, source short circuit (SSC) levels and fault impedances are considered for studies. The proposed fault location scheme is capable of accurately identify the fault type, location of faulted feeder section and the fault impedance irrespective of SSC level, fault impedance and fault locations. The results demonstrate the feasibility of applying the proposed method in practical distribution automation (DA) system for fault diagnosis. Keywordsdistribution systems; fault location; support vector machines
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