2واحد علوم و تحقیقات تهران، دانشگاه آزاد اسلامی، تهران
چکیده
این مقاله به بررسی و تحلیل تخلیه جزیی بر روی شینه‌های استاتور ژنراتور سنکرون می‌پردازد. لازم است در ابتدا، با استفاده از تجهیزات مربوطه، اندازه‌گیری سیگنالهای خاص این نوع تخلیه در دفعات و زمان‌های مختلف انجام گیرد و سپس با توجه به قواعد و استانداردهای موجود به تفسیر آنها پرداخته شود. به منظور تفسیر بهتر نتایج، یک شبکه عصبی مورد آموزش، آزمون و صحت سنجی قرار گرفته است. شبکه عصبی مورد استفاده، شبکه پرسپترون پیشرو دو لایه می‌باشد که با روش لونبرگ مارکوارت با در نظر گرفتن حداقل‌سازی مربعات خطا به عنوان شاخص عملکرد، مورد آموزش قرار گرفته است. به عنوان تست سیستم نمونه، آزمایش بر روی سه ژنراتور میتسوبیشی نیروگاه گازی شهر ری که هر کدام با توان نامی 85 مگاوات به تولید می‌پردازند، انجام گرفته است. در استاتور ژنراتور سنکرون عموماً وجود تخلیه الکتریکی در محل تماس شینه‌ها با بدنه استاتور، ورقه ورقه شدن داخلی شینه‌ها، وجود لقی در داخل دیواره عایق اصلی و ایجاد تخلیه در داخل شیار نتایج حاصل از تحلیل تخلیه جزیی می‌باشند
Partial Discharge Analysis in Generator Stator Winding Using Artificial Neural Network
نویسندگان [English]
Seyed Meisam Ezzati1؛ Faramarz Faghihi2؛ Ali Moarefian poor2
چکیده [English]
This paper analyses the Partial Discharge (PD) on the stator terminals of synchronous generator. This is necessary to collect experimental data for the analysis. First, exploiting the measurement devices, special signals that describe the partial discharges are repeatedly collected. Then, based on the current standards, the collected empirical data are subjected to interpretation. To ease the interpretation process, an Artificial Neural Network is trained and validated. We have used a double layers forward perceptron neural network which is trained by Levenberg–Marquardt algorithm that utilizes least square method as the performance index. As the case study, three gas turbine-generators located in Shahre-Rey power plant (Rey Power Generation Management Company) have been subjected to repeatedly data collection. The mentioned generators are manufactured by Mitsubishi with 85 MW of nominal power. Generally, partial discharge analysis has the following practical implication about the probable defects: lamination of the internal terminal, mobility within the main insulation and discharge into the groove in stator of synchronous generator.
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