تشخیص خطای اتصال کوتاه در سیم‌پیچ ترانسفورماتور قدرت مبتنی بر سنجش ولتاژ و جریان سیم‌پیچ با استفاده از سیستم عصبی-فازی

محورهای موضوعی : انرژی های تجدیدپذیر

همایون مشگین کلک ¹ , مهیار محمدپور ²

1 - دانشکده برق- دانشگاه تفرش، تفرش، ایران
2 - دانشکده برق- دانشگاه تفرش، تفرش، ایران

تاریخ دریافت : 1400/03/23 تاریخ پذیرش : 1400/05/13 تاریخ انتشار : 1400/06/01

کلید واژه: اتصال کوتاه, ترانسفورماتور قدرت, سیستم عصبی-فازی,

چکیده مقاله :

خرابی عایق بین حلقه‌های سیم پیچ یکی از دلایل اصلی خطای اولیه سیم پیچ در ترانسفورماتور است. در حین کار ترانسفورماتور، میدان‌های الکتریکی قوی به مواد دی الکتریک سیم پیچ‌های آن اعمال می‌شود. خرابی و پیری دی الکتریک یکی از مهمترین عوامل خطای اتصال کوتاه در سیم پیچ‌های ترانسفورماتور است. به سبب فراوانی این خطا و احتمال گسترش آن، تشخیص و شناسایی آن در مراحل اولیه اهمیت دارد. در این مقاله نشان داده شده است که با سنجش و بررسی اختلاف فاز میان ولتاژ و جریان در فازهای ترانسفورماتور در حالت بارداری می‌توان به وجود خطا پی برد. در این راستا اثر اتصال کوتاه حلقه در یک سیم پیچ بر سیم پیچ‌های دیگر نیز بررسی شده است. به منظور تشخیص خطای برخط، استفاده از یک سیستم هوشمند (سیستم عصبی-فازی)نیز پیشنهاد شده است. نتایج شبیه سازی و آزمایشگاهی برای یک ترانسفورماتور نمونه، بیان‌گر صحت و قابلیت روش ارائه شده در تشخیص برخط خطای سیم پیچ در ترانسفورماتور است.

چکیده انگلیسی:

Insulation failure between winding turns is one of the main causes of incipient winding fault in a transformer. During the operation of a transformer, strong electric fields are applied to the dielectric material of its windings. Dielectric deterioration and aging is one of the major cause of short circuit faults in transformer windings. Due to the probable occurrence of this type of defect and its extension, its early detection is a very important task in power systems. In this paper, it is shown that by measuring the phase difference between winding voltage and winding current of a loaded transformer, the existence of internal winding fault can be detected. For online fault detection, an intelligent system (neural-fuzzy system) has also been proposed.Both simulation results and laboratory tests confirm the ability of the proposed method for the detection of internal winding faults especially at light loads. With this method, there is no need to de-energize the power transformer.

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