Subspace-based identification of power transformer models from frequency response data
نویسندگان
چکیده
| A recent frequency-domain, subspace-based algorithm is used in the identiication of two power transformers. The results indicate that the subspace-based identiica-tion algorithms can be used without modiication even when the dynamic range of frequency response data is large.
منابع مشابه
Artificial Intelligence Based Approach for Identification of Current Transformer Saturation from Faults in Power Transformers
Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification of Current transformer saturation is so important. In this paper, an Artificial Neural Network...
متن کاملPower Auto-transformer Mechanical Faults Diagnosis Using Finite Element based FRA
Frequency response analysis (FRA) is a sensitive method established for testing the mechanical integrity of transformers. However, interpretation of FRA signature still needs expert opinions and there is no FRA interpretation code generally accepted. Various mechanical faults with different extents on power transformers are required to aid FRA interpretation. To address this challenge, in...
متن کاملProtection Scheme of Power Transformer Based on Time–Frequency Analysis and KSIR-SSVM
The aim of this paper is to extend a hybrid protection plan for Power Transformer (PT) based on MRA-KSIR-SSVM. This paper offers a new scheme for protection of power transformers to distinguish internal faults from inrush currents. Some significant characteristics of differential currents in the real PT operating circumstances are extracted. In this paper, Multi Resolution Analysis (MRA) is use...
متن کاملClassification of transformer faults using frequency response analysis based on cross-correlation technique and support vector machine
One of the most important methods for transformers fault diagnosis (especially mechanical defects) is the frequency response analysis (FRA) method. The most important step in the FRA diagnostic process is to differentiate the faults and classify them in different classes. This paper uses the intelligent support vector machine (SVM) method to classify transformer faults. For this purpose, two gr...
متن کاملEstimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms
Transformers are one of the most valuable assets of power systems. Maintenance and condition assessment of transformers has become one of the concerns of researchers due to huge number of transformers has been approached to the end of their lifetimes. Transformer’s lifetime depends on the life of its insulation and the insulation’s life is strongly influenced by its moisture attraction as well....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Instrumentation and Measurement
دوره 48 شماره
صفحات -
تاریخ انتشار 1999