A New Power System Digital Harmonic Analyzer

Tomić, Josif; Kušljević, M.D.; Vujičić, Vladimir

doi:10.1109/tpwrd.2007.893372

Cited by 83 publications

(20 citation statements)

References 18 publications

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“…With the increased use of nonlinear loads, battery chargers, electronic ballasts, single-phase power supplies, motor drives, saturable devices, active power filters (APFs), and flexible ac transmission system (FACTS) devices in modern power systems, harmonic distortions in line voltage and current have become more serious than ever before [1][2][3][4]. Harmonic pollution causes power quality (PQ) decline, extra losses in transmission lines and cables, overheating of electrical machines, and malfunction of relays and breakers in power systems [2].…”

Section: Introductionmentioning

confidence: 99%

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Slow sampling on-line harmonics/interharmonics estimation technique for smart meters

Sadinezhad

Agelidis

2011

Electric Power Systems Research

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Section: Introductionmentioning

confidence: 99%

“…Harmonic pollution causes power quality (PQ) decline, extra losses in transmission lines and cables, overheating of electrical machines, and malfunction of relays and breakers in power systems [2]. Harmonic estimation is an important part of monitoring, benchmarking and compensation practices in power systems.…”

Section: Introductionmentioning

confidence: 99%

Slow sampling on-line harmonics/interharmonics estimation technique for smart meters

Sadinezhad

Agelidis

2011

Electric Power Systems Research

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“…(The acronym PGS stands for Power Grid Sensor.) Considerable interest currently exists in the use of distributed and dedicated VLSI chips for the sensing and control of power systems [1]- [8], potentially resulting in a smart grid.…”

Section: Introductionmentioning

confidence: 99%

A Power Transmission Line Fault Distance Estimation VLSI Chip: Design and Defect Tolerance

MacLean

Jain

2011

2011 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems

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This paper 1 presents a system-on-a-chip for fault detection and fault-distance-estimation for power transmission lines in the smart grid. Toward this goal we have designed and fabricated three chips: PGS4, PGS5 and PGS6, each successively more advanced than the previous one. PGS4 and PGS5 each have two spiral sensors, of which one is dedicated to sensing the transmission line current, and the other serves as a redundant sensor (in case of defects on the primary one), but also as a transmission line emulator in the test phase. In this latter role, i.e., as driver, a new model for the coupled coils is proposed. These chips seek to implement an advanced fault distance estimation algorithm proposed by Radojevic which utilizes frequency domain measurements of the transmission line voltages and currents. Specifically, the fault distance is estimated using the Fourier coefficients of the fundamental and third harmonic in an algebraic formula. PGS5 and PGS6 are able to perform this analysis, with some differences as delineated in the paper. The sensor spiral feeds into a high gain amplifier and a source follower, termed as the frontend, which is the key to the operation of the chip. Therefore three copies, actually variations, of the frontend, selectable with a multiplexer, are provided for defect tolerance. For the Fourier analysis needed for fault distance estimation, we have used a powerful digital macro, MA_PLUS, which has been presented in our previous papers. We have successfully tested PGS4, and some test results are included for PGS5. Test results for PGS6 will be presented at the conference. As stated earlier, these designs are successively more advanced with a view toward enhancing the probability of success of the final design. Results for defect tolerance for the coils and the frontends are included in the paper.

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Section: Introductionmentioning

confidence: 99%

“…Different approaches have been presented in the technical literature for spectral analysis based of the Fourier theory including discrete Fourier transform (DFT) algorithm, fast Fourier transform (FFT) algorithm [14]- [19], Kalman filter (KF) [10], least mean square (LMS) technique [20], phaselocked-loop (PLL) [1], finite-impulse-response (FIR) filters [2], Newton-type algorithm (NTA) [21], optimization algorithms [22], least squares (LS) method [23], recursive least squares (RLS) method [24], using orthogonal vectors for three-phase power systems [25], and artificial neural networks (ANNs) [26]. The most widely utilized algorithms amongst these approaches are FFT and DFT which, however, suffer from three major pitfalls namely aliasing, picket-fence effect, and leakage [18]- [19].…”

Section: Introductionmentioning

confidence: 99%

Undersampled on-line ANN-EKF based estimation of harmonics/interharmonics in power systems

Sadinezhad

Agelidis

2010

IEEE PES General Meeting

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This paper describes a new approach to estimate harmonics/interharmonics of power system voltages and currents based on a hybrid artificial neural network (ANN) and extended Kalman filter (EKF) structure. A very low sampling rate is used to implement the proposed ANN-EKF structure with the modest hardware demands. The ANN structure is used for spectral estimation, consumes a very low processing power, and needs a few samples per cycle for real-time implementation. An EKF performs a secondary process on the ANN fundamental frequency phasor estimation to recover it from the errors due to the ANN internal setting. The presented ANN-EKF structure is a very simple and intelligent module to be used by utilities for statistical assessment of harmonics/interharmonics pollution. Besides, it can be a part of utility practices to control, compress, and process large volume of information flowing into data centers through sensors to be placed across the future intelligent power grids. The performance of the proposed method is evaluated by simulations in MATLAB-Simulink environment and confirmed by experimental results.Index Terms-Adaptive Kalman filtering, neural network applications, power system harmonics/interharmonics, signal reconstruction, signal sampling.

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A New Power System Digital Harmonic Analyzer

Cited by 83 publications

References 18 publications

Slow sampling on-line harmonics/interharmonics estimation technique for smart meters

Slow sampling on-line harmonics/interharmonics estimation technique for smart meters

A Power Transmission Line Fault Distance Estimation VLSI Chip: Design and Defect Tolerance

Undersampled on-line ANN-EKF based estimation of harmonics/interharmonics in power systems

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