NATIONAL BIBLIOGRAPHY NUMBER
Number
۲۴۰۹پ
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
per
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
تخمین و ارزیابی شاخص‌های هارمونیکی کیفیت توان در سیستم قدرت بااستفاده ازروش‌های هوشمند
First Statement of Responsibility
/جواد حمیدی
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
تبریز، دانشگاه تبریز، دانشکده فنی مهندسی برق، گروه مهندسی قدرت
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
۱۰۷ص
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
چاپی
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
واژه نامه بصورت زیرنویس
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
کارشناسی ارشد
Discipline of degree
برق-قدرت
Date of degree
۱۳۸۸/۰۶/۲۵
Body granting the degree
تبریز، دانشگاه تبریز، دانشکده فنی مهندسی برق، گروه مهندسی قدرت
SUMMARY OR ABSTRACT
Text of Note
domain methods not only reduce the calculation time, but also avoid the restriction of the frequency domain methods. For this reason, this thesis proposes the MLPNN and ADALINE based algorithm for harmonics detection. Finally, Simulations have been done using MATLAB and PSCAD/EMTDC. Results of simulations are show ability of proposed method for power system harmonic analysis-fence effects. Although increasing the sampling frequency can mitigate the undesired effects, this will impede the computational efficiency. Therefore, how to achieve both the high resolution and efficiency is worth investigating in recent years, the Artificial Neural Network (ANN) based methods, Adaptive Linear Element (ADALINE) and MLPNN (Multi Layer Perceptron Neural Network), have been widely used for the power system harmonic analysis. The time-based algorithm is less accurate if the system frequency varies and the frequency resolution decreases, and the analytic results will be inaccurate caused by the leakage and picket-based algorithm to analyze the harmonics and to show the frequency spectra. However, the FFT-order spectra, etc. The Fast Fourier Transform (FFT) has been widely used for the harmonic analysis because of its computational efficiency. In addition, most power meters adopt FFT-In the ideal Power system the voltage waveform and Current waveform are expected to be a pure sinusoidal with a given frequency and amplitude. With the widespread use of nonlinear load and power electronic equipment in progress of industry voltage and current harmonics have extremely been increased in power system. Excessive harmonics in power system could cause serious problems such as voltage distortion, increased losses and heating, and miss operation of protective equipment. Therefore, mitigating harmonics has become a great concern for both utilities and customers. The estimation of the components is very important for control and protection tasks. The design of harmonics filters relies on the measurement of distortions in both current and voltage waveforms. Hence harmonic analysis is a very important subject in power system.There are many different approaches for harmonic analysis which are based Digital Signal Processing (DSP) and Intelligent Methods (IM) , like Fast Fourier Transform (FFT), Wavelet Transform (WT), application of Adaptive Filters (AF), application of Kalman Filters (KF), Artificial Neural Networks (ANNs), higher
TOPICAL NAME USED AS SUBJECT
Harmonic
Neural Network
Fast Fourier Tramsform
Power Quality
PERSONAL NAME - PRIMARY RESPONSIBILITY
حمیدی، جواد
PERSONAL NAME - SECONDARY RESPONSIBILITY
حسینی، سید حسین، استاد راهنما
قاسم اهرابیان، استاد راهنما
خان محمدی، سهراب، استا مشاور
ELECTRONIC LOCATION AND ACCESS
Public note
سیاه و سفید
نمایه‌سازی قبلی
