Fault location in active distribution networks by means of the continuous - wavelet analysis of fault - originated high frequency transients

نویسندگان

  • A. BORGHETTI
  • M. BOSETTI
  • C. A. NUCCI
  • M. PAOLONE
  • A. ABUR
چکیده

The first aim of the paper is the characterization of fault-originated transients in power distribution networks as a function of the fault location and of the measurement point. Both fault location and of the measurement point are indeed correlated to the position of the faulted branch and of the fault location through the paths covered by travelling waves originated by the fault event. The second aim of the paper is the identification of these paths, which is of importance for the development of fast and reliable fault location procedure. To this aim, the paper illustrates an algorithm, based on the continuous wavelet analysis of fault-originated transients, that allows for a successful identification of the continuous frequency spectrum of fault transients. The knowledge of that spectrum is then used to identify characteristic frequencies directly correlated to the previously mentioned paths and, therefore, to the fault location. The paper also presents the structure of a first prototype of fault locator, which implements the proposed procedure. Finally, experimental tests aimed at verifying the performances of that prototype are presented and the results discussed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fault Location in Active Distribution Networks Using Improved Whale Optimization Algorithm

To realize the self-healing concept of smart grids, an accurate and reliable fault locator is a prerequisite. This paper presents a new fault location method for active power distribution networks which is based on measured voltage sag and use of whale optimization algorithm (WOA). The fault induced voltage sag depends on the fault location and resistance. Therefore, the fault location can be f...

متن کامل

On the Use of Continuous-wavelet Transform for Fault Location in Distribution Power Networks

The paper illustrates a procedure, based on the continuous-wavelet transform, for the analysis of voltage transients due to line faults and discusses its application to fault location in power distribution networks. The analysis carried out allows us to infer that correlation does exist between some characteristic frequencies of the transformed signal and specific paths in the network covered b...

متن کامل

A New Fast and Accurate Fault Location and Classification Method on MTDC Microgrids Using Current Injection Technique, Traveling-Waves, Online Wavelet, and Mathematical Morphology

In this paper, a new fast and accurate method for fault detection, location, and classification on multi-terminal DC (MTDC) distribution networks connected to renewable energy and energy storages presented. MTDC networks develop due to some issues such as DC resources and loads expanding, and try to the power quality increasing. It is important to recognize the fault type and location in order ...

متن کامل

transformer differential protection using the fault-generated high-frequency transient components

Power transformers are the most important components of a power system, so their protection is a critical issue. This paper proposes a novel and efficient algorithm based on the high-frequency components of the differential current signal to discriminate between the magnetizing inrush currents and the internal faults. After detecting the over-current in the differential current signals, samples...

متن کامل

Fault location and classification in non-homogeneous transmission line utilizing breaker transients

In this paper, a single-ended fault location method is presented based on a circuit breaker operation using the frequencies of traveling waves. The proposed method receives the required data from voltage traveling waves with the aid of Fast Fourier Transform (FFT) and Wavelet Transform. Then, the Artificial Neural Network (ANN) identifies fault type and determines its location. In order to eval...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010