کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
704490 1460888 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Transmission line relay mis-operation detection based on time-synchronized field data
ترجمه فارسی عنوان
تشخیص خطوط انتقال خطوط انتقال بر اساس داده های میدان هماهنگ شده زمان
کلمات کلیدی
تشخیص گسل، موقعیت گسل، گسل های سیستم برق، حفاظت از سیستم، رله عملیات نادرست، اندازه گیری زمان هماهنگ شده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


• The use of the method can help troubleshooting and prevention of cascading events.
• The method supports decision making process during the system restoration.
• The method was validated and tested using both simulated and actual field test cases.

In this paper, a real-time tool to detect transmission line relay mis-operation is implemented. The tool uses time-synchronized measurements obtained from both ends of the line during disturbances. The proposed fault analysis tool comes into the picture only after the protective device has operated and tripped the line. The proposed methodology is able not only to detect, classify, and locate transmission line faults, but also to accurately confirm whether the line was tripped due to a mis-operation of protective relays. The analysis report includes either detailed description of the fault type and location or detection of relay mis-operation. As such, it can be a source of very useful information to support the system restoration. The focus of the paper is on the implementation requirements that allow practical application of the methodology, which is illustrated using the field data obtained the real power system. Testing and validation is done using the field data recorded by digital fault recorders and protective relays. The test data included several hundreds of event records corresponding to both relay mis-operations and actual faults. The discussion of results addresses various challenges encountered during the implementation and validation of the presented methodology.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 125, August 2015, Pages 174–183
نویسندگان
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