الگوریتم هوشمند پیش‌بینی ناپایداری گذرای ناحیه گسترده زاویه روتور مبتنی بر تئوری درخت تصمیم 0. 5C و سیگنال‌های سراسری
محورهای موضوعی : مهندسی برق و کامپیوتر
1 - دانشكده فنی و مهندسی، دانشگاه ولایت
کلید واژه: پایداری گذرا, خروج از همگامی, آشکارسازی, درخت تصمیم,
چکیده مقاله :
در این مقاله، طرح حفاظتی هوشمند به‌منظور پیش‌بینی برخط ناپایداری گذرای ناحیه گسترده در سیستم‌های قدرت بر اساس تئوری درخت تصمیم معرفی می‌شود. برای این منظور با بررسی نوسان توان شبکه و شرایط معادلات دینامیک ژنراتور سنکرون در دو حالت پایدار و شرایط خروج از همگامی، شاخص‌های برخط مبتنی بر واحدهای اندازه‌گیری فازوری معرفی و تحت شرایط متفاوت بهره‌برداری و توپولوژیکی شبکه در زمان‌های وقوع خطا و برطرف‌شدن خطا به‌منظور عملکرد سریع طرح پیشنهادی اندازه‌گیری می‌شوند. در ادامه، شاخص‌های پیشنهادی به‌صورت جفت‌داده ورودی- خروجی برای آموزش درخت تصمیم در محیط برون‌خط مورد استفاده قرار می‌گیرند. نمونه‌های آموزشی شامل یک سری اندازه‌گیری‌ها تحت خطاهای متفاوت شامل نوع و مکان خطا هستند. توانایی حفاظتی طرح پیشنهادی بر روی یک شبکه 39باسه با پتانسیل ناپایداری گذرای ناحیه گسترده ژنراتورهای سنکرون، پیاده‌سازی و عملکرد درخت تصمیم تحت سناریوهای از پیش آموزش داده‌نشده صحت‌سنجی می‌شود. نتایج شبیه‌سازی نشان‌دهنده توانایی طرح پیشنهادی درخت تصمیم در زمینه پیش‌بینی صحیح خروج از همگامی ناحیه گسترده سیستم قدرت تحت طیف وسیعی از شرایط دینامبک شبکه است.
This paper presents a new method for Out-of-Step detection in synchronous generators based on Decision Tree theory. For distinguishing between power swing and out-of-step conditions a series of input features are introduced and used for decision tree training. For generating input training samples, a series of measurements are taken under various faults including operational and topological disturbances. The proposed method is simulated over 10 machines 39-bus IEEE test system and the simulation results are prepared as input-output pairs for decision tree induction and deduction. The merit of proposed out-of-step protection scheme lies in adaptivity and robustness of input features under different input scenarios
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