High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers
نویسندگان
چکیده
منابع مشابه
Cross Entropy-Based High-Impedance Fault Detection Algorithm for Distribution Networks
The low fault current of high-impedance faults (HIFs) is one of the main challenges for the protection of distribution networks. The inability of conventional overcurrent relays in detecting these faults results in electric arc continuity that it causes the fire hazard and electric shock and poses a serious threat to human life and network equipment. This paper presents an HIF detection algori...
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چکیده رساله/پایان نامه : تاکنون روشهای متعددی در ارتباط با مکان یابی خطا در شبکه انتقال ارائه شده است. استفاده مستقیم از این روشها در شبکه توزیع به دلایلی همچون وجود انشعابهای متعدد، غیر یکنواختی فیدرها (خطوط کابلی، خطوط هوایی، سطح مقطع متفاوت انشعاب ها و تنه اصلی فیدر)، نامتعادلی (عدم جابجا شدگی خطوط، بارهای تکفاز و سه فاز)، ثابت نبودن بار و اندازه گیری مقادیر ولتاژ و جریان فقط در ابتدای...
High Impedance Fault Detection On Distribution Feeders
The ability to detect High Impedance (HiZ) faults has been a topic of research and development for over 30 years. About seven years ago, products began to appear on the market that could securely perform this function. Over this time period, several hundred HiZ detection devices have been placed in service and have performed to expectations. This paper reviews the operating principle of HiZ fau...
متن کاملAn Improved Method for High Impedance Fault Detection in Medium Voltage Networks
Original scientific paper This paper presents a set of rules for an intelligent algorithm of high impedance fault detection by observing the phase to ground voltage, phase to phase current and harmonics of fault current. Several techniques to detect high impedance faults already exist for example current injection in the neutral, superposing voltage signals, harmonic analysis, neural networks. ...
متن کاملHigh impedance fault detection in power distribution networks using time–frequency transform and probabilistic neural network
An intelligent approach for high impedance fault (HIF) detection in power distribution feeders using advanced signal-processing techniques such as time–time and time–frequency transforms combined with neural network is presented. As the detection of HIFs is generally difficult by the conventional over-current relays, both time and frequency information are required to be extracted to detect and...
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ژورنال
عنوان ژورنال: Neural Computing and Applications
سال: 2019
ISSN: 0941-0643,1433-3058
DOI: 10.1007/s00521-019-04445-w