Investigation to Harmonics Identification in Power System Based on Advanced Signal Processing Techniques

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INTRODUCTION Chapter I HARMONIC ANALYSIS IN POWER SYSTEMS Introduction Harmonics in power system Definition Harmonics sources Harmonic effects Interharmonics Interharmonics sources Interharmonics impacts Harmonics Measurement Interest of measurement Location of harmonic measurement in power network Harmonic Measurement indices Harmonics and interharmonics identification and mitigation Conclusion References Chapter II ADVANCED SIGNAL PROCESSING TECHNIQUES FOR HARMONIC AND INTER-HARMONIC IDENTIFICATION Introduction Advanced Signal Processing techniques Fourier Transform Discrete Fourier Transform (DFT) Fast Fourier Transform (FFT) Short-Time Fourier Transform (STFT) Wavelets Prony’s Method Matrix Pencil Signal and Noise Subspace Techniques Methods based on mathematical models Criteria of choice Conclusion References Chapter III PRONY’S METHOD FOR HARMONIC AND INTERHARMONIC IDENTIFICATION Introduction Historical Background Prony Method Original Prony Least Squares Prony Method Modified Least Squares Prony Method Selection Criteria of Prony parameters Selection of Prony Analysis Algorithm Conclusion References Chapter IV RESULTS AND DISCUSSION Introduction Harmonic identification using Prony Method Validation of theoretical choice of parameters Influence of the length of measurement window Influence of selecting of sampling rate Influence of selection of model order Interharmonic identification using Prony Method Validation of theoretical criteria Influence of selection of sampling rate Influence of selection of model order Real case study for harmonics and interharmonics identification with Prony Method Presentation of the test signal 4 Comparison between 3 signal processing technique for harmonics and interharmonics identification Prony and Least Error Squares methods Prony and FFT Conclusion References CONCLUSION PERSPECTIVES

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