A statistical-based criterion for incipient fault detection in underground power cables established on voltage waveform characteristics

نویسندگان

چکیده

• Identifying abnormality and determining time of disturbance occurrence. Discriminating the incipient fault from capacitive switching sudden load variations. harmonic loads considering arc models. The faults which mainly occur due to electric occurrence in power cables with insulation defects are hardly detectable by conventional protective relays, over can develop into a permanent system. Employing Kalman filter, this paper puts forward method detect discriminate them other similar incidents proposed is established on comparison between waveform measured voltage fundamental component voltage, estimated filter algorithm sending end cable during fault. difference waveforms, detection discrimination carried out within two stages. In first stage, event relegalized comparing standard deviation obtained error certain threshold. second stage conducted find based non-attenuating characteristic quasi-periodic nature feasibility verified through computer simulation using four different models also acquired experimental data real faults.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform

In this paper, a novel method is presented for detection and classification of the faultyphase/region in the stator winding of synchronous generators on the basis of the resulting harmoniccomponents that appear in the terminal voltage waveforms. Analytical results obtained through DecisionTree (DT) show that the internal faults are not only detectable but also they can be classified andthe rela...

متن کامل

Incipient Fault Detection and Management Of Underground LV Networks

LV performance and the underlying causes must be addressed seriously if performance is to be improved in the same way as it has been at MV and HV and investment in replacement and refurbishment of networks is to be prioritised in an efficient manner. Consequently LPN has been focussing its creative energies into improving the performance and reducing the cost of managing extensive and mature LV...

متن کامل

application of upfc based on svpwm for power quality improvement

در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...

15 صفحه اول

Prediction of Incipient Faults in Underground Power Cables Utilizing S-Transform and Support Vector Regression

Incipient faults usually emerge from partial discharges which eventually cause insulation degradation between two insulated cable cores. Early detection of incipient faults is of particular importance because insulation defects caused by incipient faults may lead to permanent faults in underground distribution networks. This paper presents a novel approach using S-transform and support vector r...

متن کامل

A Novel Fault Detection and Classification Approach in Transmission Lines Based on Statistical Patterns

Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...

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

ژورنال

عنوان ژورنال: Electric Power Systems Research

سال: 2021

ISSN: ['1873-2046', '0378-7796']

DOI: https://doi.org/10.1016/j.epsr.2021.107303