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Decision Tree Based Online Identification of Critical Voltage Control Area

عنوان مقاله: Decision Tree Based Online Identification of Critical Voltage Control Area
شناسه ملی مقاله: ELEMECHCONF03_0567
منتشر شده در سومین کنفرانس ملی و اولین کنفرانس بین المللی پژوهش هایی کاربردی در مهندسی برق، مکانیک و مکاترونیک در سال 1394
مشخصات نویسندگان مقاله:

Omid Ghanaati - Department of Electrical Engineering, Abadeh Branch, Islamic Azad University, Abadeh, Iran
Hosein Amirabadi - Department of Mechanical Engineering, Abadeh Branch, Islamic Azad University, Abadeh, Iran
Morteza Jahangir - Department of Electrical Engineering, Abadeh Branch, Islamic Azad University, Abadeh, Iran
Vahid Gholami - Department of Electrical Engineering, Abadeh Branch, Islamic Azad University, Abadeh, Iran

خلاصه مقاله:
New method of online identification of critical voltage control area (CVCA) based on decision tree is presented. Voltage instability is one of the main causes of blackouts in modern power systems. The objective of this paper is to propose an online methodology for identification of CVCAs, which is key function for preventive and remedial actions against instability. This is carried out under various system operation and contingency conditions by using offline trained decision trees (DT) generated and online PMU measurements. Numerical results on the New England 39-bus test system, shows the suitability and effectiveness of the proposed method.

کلمات کلیدی:
Voltage stability, voltage control area (VCA), decision tree (DT)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/479332/