شناسايي ماشين‌هاي همپا به روش همپايي کند
محورهای موضوعی : مهندسی برق و کامپیوترسيدحميدرضا عادلي 1 , عبدالرضا ربیعی 2 *
1 - دانشگاه شهرکرد
2 - دانشگاه شهرکرد
کلید واژه: معادل‌سازي ديناميکيهمپاييمدهاي کندشناسايي همپايي,
چکیده مقاله :
بررسي پايداري، کنترل و طراحي سيستمهاي قدرت امروزي به دليل وسعت زياد و پيچيدگي بيش از حد اين سيستم‌ها، کار مشکلي بوده و براي انجام چنين مطالعاتي، معادل‌سازي ديناميکي اين سيستم‌ها بسيار مفيد و گاه اجتناب‌ناپذير مي‌باشد. در اين مقاله از روش همپايي به عنوان روش معادل‌سازي و از روش همپايي کند به عنوان روش شناسايي ماشين‌هاي همپا استفاده شده است. اين روش با وجود سادگي، روش مؤثري در شناسايي ژنراتورهاي همپا ارائه مي‌دهد. همچنين در اين مقاله، روش جديدي براي خوشه‌بندي ماشين‌هاي سنکرون ارائه شده که داراي سرعت قابل قبولي مي‌باشد. در پايان صحت عملکرد روش شناسايي پيشنهادي توسط شبيه‌سازي زماني مورد بررسي قرار مي‌گيرد و با روش‌هاي ديگر مقايسه مي‌گردد. نتايج حاکي از آن است که با استفاده از روش مذکور، گروه‌هاي ژنراتوري با سرعت بالاتري نسبت به ديگر روش‌ها تعيين مي‌شود و لذا روش پيشنهادي مي‌تواند با دقت خوبي در مطالعات معادل‌سازي ديناميکي استفاده گردد.
To study the stability of dynamic systems, it is neither practical nor necessary to model the entire interconnected system in details. In more specific application, such as dynamic security assessment and system control design, reduced order models of the entire system, or part of it, are needed to satisfy computational or design constraints. In this paper, a dynamic reduction method based on coherency concept is developed and slow coherency identification is used to identify coherency machine. Despite its simplicity, the proposed method provides an effective approach to recognize coherence generators. Furthermore, a new clustering method is suggested in this paper to improve acceleration of coherence machines identification. Finally, the accuracy of proposed method is evaluated by time domain simulation and compared with other methods. The obtained results indicate that the new proposed grouping method works more quickly than the other methods in the area, concluding that, without loss of accuracy, it can be readily used in dynamic studies of power systems.
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