مروری بر روش‌های تشخیص خطا و تعیین سرمنشأ آن در شبکه‌های توزیع برق
محورهای موضوعی : انرژی های تجدیدپذیر
میلاد صمدی شادلو
1
(کارشناس ارشد - دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی، واحد بجنورد، باشگاه پژوهشگران جوان و نخبگان، بجنورد، ایران)
کلید واژه: تشخیص خطا, تعیین سرمنشأ خطا, شبکه‌های توزیع برق,
چکیده مقاله :
به مجموعه روش‌هایی که بعد از بروز خطا، موقعیت خطا را با توجه به شرایط قبل و بعد از خطا تشخیص می‌دهند، الگوریتم‌های مکان‌یابی خطا گفته می‌شود و بخشی که این کار را انجام می‌دهد، مکان‌یاب خطا نامیده می‌شود. در همین رابطه مفاهیمی چون تشخیص خطا و جداسازی آن و تشخیص خطا و سرمنشأ آن نیز در سیستم قدرت مطرح شده است. تا کنون روش‌های مختلفی به منظور تشخیص خطا و سرمنشأ آن در بخش‌های مختلف سیستم قدرت و نیز تجهیزات آن نظیر ترانسفورماتورها، مبدل‌ها، خطوط هوایی، کابل‌های زمینی، فیدرها، مدارشکن‌ها، رله‌های حفاظتی، ژنراتورها، توربین‌ها و غیره معرفی شده است که هر کدام در تکمیل کارهای گذشته، روشی جدید و کارآمدتر را پیشنهاد داده‌اند. در این مقاله، مطالعه جامعی روی روش‌های تشخص خطا و تعیین سرمنشأ آن در سیستم‌های توزیع برق ارائه شده است. همچنین دسته‌بندی و روش‌شناسی تحقیقات صورت گرفته پیرامون این موضوع در مقالات مختلف، بیان شده است. الگوریتم‌های تشخیص خطا و تعیین مکان خطا از دو دیدگاه کلی تقسیم‌بندی شده و ویژگی‌های هر دسته به صورت کامل تشریح شده است.
Fault detection and diagnosis algorithms are the methods whose function is determining the fault point in a system according to pre-faulting and post-faulting conditions, and fault detector is a part of system which performs this function. Accordingly, the aspects like fault detection and diagnosis and faulted point isolation have been introduced. Until now many researches have focused on fault detection methods in different parts of power system such as transformers, converters, overhead lines, underground cables, feeders, breakers, protection relays, generators, turbines, etc. , which every one of them has proposed a new and effective method in supplementing of previous works. In this paper, a comprehensive study is done on fault detection and diagnosis in distribution power systems. Also, categorizing and also methodology of previous works in literature is addressed. Fault detection and diagnosis algorithms are divided based on two viewpoints and characteristics and features of each one are described completely.
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