نوع مقاله : مقاله پژوهشی (کاربردی)
نویسندگان
1 گروه مهندسی برق، دانشکده فنی پسران(شهید مدنی)،خرم آباد، دانشگاه فنی و حرفه ای، ایران
2 گروه مهندسی برق، دانشگاه امیرکبیر، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
High impedance fault (HIF) detection is one of the biggest challenges in power distribution network. HIF usually occurs when conductors in the distribution network are broken and touch the ground or a tree branch. The current of this fault is close to the load current level and cannot be detected by over current relays. In this paper, a new method for detecting HIF from other similar phenomena in the distribution network such as capacitor switching, load switching, inrush current and CT saturation is presented. The proposed method uses morphological gradient edge detection (MGED) to process voltage signals. Using MGED, the edges or transient changes in the signal and its features after two cycles from the beginning of the fault are extracted. Based on these features, an fault detection index (FDI) is introduced for distinguishing and classifying HIF, capacitor switching, load switching, inrush current and CT saturation. The simulation results for different HIF fault conditions and similar phenomena in a 20 kV sample feeder and IEEE 34 bus distribution system in EMTP software environment confirm the fast and accurate performance of the proposed method.The simulation results for different HIF fault conditions and similar phenomena in a 20 kV sample feeder in EMTP software environment confirm the fast and accurate performance of the proposed method.
کلیدواژهها [English]
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