Design of a neural-fuzzy algorithm for power system protection (H.V. Transmission line)‎

مقدم أطروحة جامعية

Shahin, Adi Abd al-Husayn Muhammad

مشرف أطروحة جامعية

Ibrahim, Ali Abd Allah

الجامعة

جامعة أم درمان الإسلامية

الكلية

كلية العلوم الهندسية

القسم الأكاديمي

قسم الهندسة الكهربائية و الإلكترونية

دولة الجامعة

السودان

الدرجة العلمية

دكتوراه

تاريخ الدرجة العلمية

2012

الملخص الإنجليزي

Artificial neural networks and fuzzy logic are used in this research to achieve a high speed, more reliable and high accuracy fault detection for a high voltage transmission line. Traditional digital distance relay designs use estimation algorithms to determine the phasors of currents and voltages.

Current phasors are affected by D.C decaying noise, this lead to slower response time or inaccurate decision of digital relay in some cases. This research presents a modified distance relaying algorithm that use phasors of voltage only that has been combined with adaptive resonance theory (ART) neural network to eliminate the use of current phasors.

The neural network is trained to recognize faults on basis of a specific relay characteristic. The modified algorithm eliminates the need of phasors estimation of current which is used as neural networks inputs to determine the appearance of fault from relay location.

The neural network has been trained using training patterns generated from general normalized MHO characteristics. Three main software stages are used in the design.

In the first stage, a generation of fault patterns using concentric circles which represents impedances of line for different types of fault.

In second stage, adaptive resonance theory neural network has been trained for these patterns to perform sets of clusters that hold characteristics of different types of faults.

In third stage, a high voltage parallel transmission line test system is simulated using power system computer aided design (PSCAD) program.

Different fault conditions including different fault resistances and different fault inception angles are applied and a voltage signal has been read from one end of transmission line to generate input patterns to test the designed algorithm by calculate the distance between these patterns and the clusters that are generated in stage two using fuzzy logic. The test results have been compared with test results of relay algorithm use Discrete Fourier Transform (DFT) for the same power system.

The test results show that the relay is able to detect faults in lesser time with high accuracy as compared to conventional digital relay algorithm that use Discrete Fourier Transform (DFT) as phasors estimator algorithm.

التخصصات الرئيسية

الهندسة الكهربائية

الموضوعات

• أنظمة الطاقة الكهربائية
• الشبكات العصبية(الحاسبات الإلكترونية)

عدد الصفحات

151

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-364335