Phasor Estimation Algorithm Based on the Least Square Technique during CT Saturation

Lee, Dong Gyu; Kang, Sang-Hee; Nam, Soon-Ryul

doi:10.5370/jeet.2011.6.4.459

Cited by 11 publications

(15 citation statements)

References 10 publications

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“…An integrated phasor and frequency estimation using a fast recursive Gauss-Newton algorithm has been proposed in [5] and a method based on modified Fourier transform for eliminating direct current (DC) offset has been presented in [6]. A phasor estimation algorithm based on the least square curve fitting has been proposed in [7] to overcome current transformer saturation effect. In [8], an approach for estimating the phasor parameters based on recursive wavelet transform has been introduced.…”

Section: Introductionmentioning

confidence: 99%

Dynamic synchrophasor estimation by Taylor–Prony method in harmonic and non‐harmonic conditions

Khodaparast

Khederzadeh

2017

IET Generation, Transmission & Distribution

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Dynamic phasor is suitable for analysis of non-stationary signals (such as power swings) in phasor measurement unit. In this study, dynamic phasor of the generated signals during power swing is analysed by a classical signal processing technique known as Prony. The Prony analysis is a useful technique to model a linear sum of damped complex exponential signals. In this study, a combination of the least square-based Prony analysis and Taylor expansion called as Taylor-Prony is proposed to estimate the dynamic phasor. Zeroth-order Taylor-Prony, i.e. static phasor is compared with the second-order Taylor-Prony, i.e. dynamic phasor for illustrating the dynamic phasor capability. Sinusoidal and step changes of amplitude and phase, harmonic condition, frequency tracking tests, noise infiltration and computation time are different tests which are used to validate the proposed method. First, the method is explained theoretically, and then its potential is demonstrated by simulating various numerical signals in MATLAB and measured signals during power swing from three-machine power system simulated in PSCAD. Simulation results show that the proposed method can estimate the dynamic phasor during power swing accurately. Ultimately, the proposed method is compared with six methods which have already presented to verify the capability of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Dynamic synchrophasor estimation by Taylor–Prony method in harmonic and non‐harmonic conditions

Khodaparast

Khederzadeh

2017

IET Generation, Transmission & Distribution

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“…A method based on modified Fourier transform to eliminate DC offset was suggested in [7]. A phasor estimation algorithm based on the least square curve fitting technique was presented in [8] for the distorted secondary current due to CT saturation. In [9], an innovative approach was proposed to estimate the phasor parameters including frequency, magnitude and angle in real time based on a newly constructed recursive wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Least square and Kalman based methods for dynamic phasor estimation: a review

Khodaparast

Khederzadeh

2017

Prot Control Mod Power Syst

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The characterization of sinusoidal signals with time varying amplitude and phase is useful and applicable for many fields. Therefore several algorithms have been suggested to estimate main aspects of these signals. Within no standard approach to test the properties of these algorithms, it seems to be helpful to discuss a large class of algorithms according to their properties. In this paper, six methods of estimating dynamic phasor have been reviewed and discussed which three of them are based on least square and others are based on Kalman filter. Taylor expansion is used as a first step and continued with least square or Kalman filter in accordance with the proposal observer of each method. The theoretical processes of these methods are briefly clarified. The characterizations have been made by some tests in time and frequency domains. The tests include amplitude step, phase step, frequency step, frequency response, total vector error, transient monitor, noise, sample number, computation time, harmonic and DC offset which build a framework to compare the different methods.

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“…By using the least squares method [10,11], the square of the each error and differentiation can be derived as follows:…”

Section: Relative Position Estimation Using Least Square Methodsmentioning

confidence: 99%

“…In the proposed method, the output of the balancing unit, which is based on the least squares method [10,11] and measured using the combination of hall signals, is compared with the zero crossing point (ZCP) detected by the offset unit. This elegant combination of activity by the balancing and offset units enhances the accuracy of angle estimation.…”

Section: Introductionmentioning

confidence: 99%

Compensation Method of Position Signal Error with Misaligned Hall-Effect Sensors of BLDC Motor

Park¹,

Choi²,

Lee³

2016

Journal of Electrical Engineering and Technology

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-This paper presents an improved approach for compensating rotor position signal displacement in brushless DC (BLDC) motors with misaligned hall-effect sensors. Typically, the halleffect sensors in BLDC motors are located in each phase and positioned exactly 120 electrical degrees apart. However, limitations in mechanical tolerances make it difficult to place hall-effect sensors at the correct location. In this paper, a position error compensator to counteract the hall-effect sensor positioning error is proposed. The proposed position error compensator uses least squares error analysis to adjust the relative position error and back-EMF information to reduce the absolute offset error. The effectiveness of the proposed approach is verified through several experiments.

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Phasor Estimation Algorithm Based on the Least Square Technique during CT Saturation

Cited by 11 publications

References 10 publications

Dynamic synchrophasor estimation by Taylor–Prony method in harmonic and non‐harmonic conditions

Dynamic synchrophasor estimation by Taylor–Prony method in harmonic and non‐harmonic conditions

Least square and Kalman based methods for dynamic phasor estimation: a review

Compensation Method of Position Signal Error with Misaligned Hall-Effect Sensors of BLDC Motor

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