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Differential Evolution Based IDWNN Controller for Fault Ride-Through of Grid-Connected Doubly Fed Induction Wind Generators
المؤلفون المشاركون
Sivakumar, L.
Manonmani, N.
Subbiah, V.
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-10-01
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The key objective of wind turbine development is to ensure that output power is continuously increased.
It is authenticated that wind turbines (WTs) supply the necessary reactive power to the grid at the time of fault and after fault to aid the flowing grid voltage.
At this juncture, this paper introduces a novel heuristic based controller module employing differential evolution and neural network architecture to improve the low-voltage ride-through rate of grid-connected wind turbines, which are connected along with doubly fed induction generators (DFIGs).
The traditional crowbar-based systems were basically applied to secure the rotor-side converter during the occurrence of grid faults.
This traditional controller is found not to satisfy the desired requirement, since DFIG during the connection of crowbar acts like a squirrel cage module and absorbs the reactive power from the grid.
This limitation is taken care of in this paper by introducing heuristic controllers that remove the usage of crowbar and ensure that wind turbines supply necessary reactive power to the grid during faults.
The controller is designed in this paper to enhance the DFIG converter during the grid fault and this controller takes care of the ride-through fault without employing any other hardware modules.
The paper introduces a double wavelet neural network controller which is appropriately tuned employing differential evolution.
To validate the proposed controller module, a case study of wind farm with 1.5 MW wind turbines connected to a 25 kV distribution system exporting power to a 120 kV grid through a 30 km 25 kV feeder is carried out by simulation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Manonmani, N.& Subbiah, V.& Sivakumar, L.. 2015. Differential Evolution Based IDWNN Controller for Fault Ride-Through of Grid-Connected Doubly Fed Induction Wind Generators. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1079083
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Manonmani, N.…[et al.]. Differential Evolution Based IDWNN Controller for Fault Ride-Through of Grid-Connected Doubly Fed Induction Wind Generators. The Scientific World Journal No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1079083
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Manonmani, N.& Subbiah, V.& Sivakumar, L.. Differential Evolution Based IDWNN Controller for Fault Ride-Through of Grid-Connected Doubly Fed Induction Wind Generators. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1079083
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1079083
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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