Time-domain harmonic state estimation using filtered measurements based on Fourier transform

Molina-Moreno, Ismael; Medína, A.; Cisneros-Magana, Rafael

doi:10.1109/naps.2015.7335110

Cited by 3 publications

(9 citation statements)

References 16 publications

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“…If only one bus is unobservable among a ZIB and its entire incident buses, the unobservable bus will also be identified as observable by applying the Kirchhoff's current law (KCL) at the ZIB. Currents in the time-domain can be computed using (23)(24)(25)(26).…”

Section: Rulementioning

confidence: 99%

“…The methodologies reported in [20] and [22][23][24] do not take into account the use of the optimal number of measuring devices and their optimal placement.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed methodology extends the TDHSE formulation from single-phase [24] to three-phase networks to consider the unbalanced operation condition in power systems. It uses the half-wave symmetry property in voltage and current waveforms [22] to reduce from one to half cycle, the computational effort needed by the solution process of TDHSE.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the method uses measurements taken from a scale-down test system set up, which allows to observe the behaviour of the KF assessing the TDHSE when the theoretical model presents errors on modelling and parameter values respect to the real model. Recently, in [24], a new methodology to solve the TDHSE problem using filtered measurements and the WLS method as criterion to minimise the estimation error has been proposed. In order to estimate the harmonic state, the method samples at least one cycle.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Time domain harmonic state estimation in unbalanced power networks based on optimal number of meters and the principle of half‐wave symmetry

Molina-Moreno

Medína

Cisneros-Magana

et al. 2017

IET Generation Trans & Dist

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This paper proposes a time domain methodology for harmonic state estimation (HSE) in power systems. The proposed methodology is formulated to analyse the unbalanced operation of three-phase power systems including nonlinear loads. It takes into account the optimal number of measuring devices and exploits the property of half-wave symmetry in voltage and current waveforms to significantly reduce the computational effort of the solution process. The results obtained are in closely agreement with the actual response obtained from the time domain power system simulation performed with the SimPowerSystems toolbox of Simulink®. Hence, the proposed methodology can adequately assess the harmonic state in unbalanced power systems. The results show a considerable reduction in the instrumentation resources and time processing needed for HSE in nonlinear power networks.

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Section: Rulementioning

confidence: 99%

“…The methodologies reported in [20] and [22][23][24] do not take into account the use of the optimal number of measuring devices and their optimal placement.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time domain harmonic state estimation in unbalanced power networks based on optimal number of meters and the principle of half‐wave symmetry

Molina-Moreno

Medína

Cisneros-Magana

et al. 2017

IET Generation Trans & Dist

Self Cite

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show abstract

“…Power quality state estimation (PQSE) deals with a limited number of measuring devices [2][3]. Issues that encompass PQSE are fundamental frequency state estimation [4][5], harmonic state estimation [6][7], voltage sag state estimation [8][9], and transient state estimation (TSE) [10][11][12][13][14][15]. This research work, deals with TSE in power systems.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Transient State Estimation Based on Numerical Derivatives, Optimal Monitoring, and Filtered Measurements

Molina-Moreno

Medína

Cisneros-Magana

et al. 2018

IEEE Trans. Power Delivery

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This paper proposes a methodology for transient state estimation in power systems. The proposed methodology is formulated using approximation methods for derivatives to relate the state variables to measurements. It does not require knowledge of the steady state to establish the pre-disturbance operation conditions. The method uses an optimal monitoring system based on topological analysis to obtain full observability. A saving index is introduced to analyze the effectiveness of the instrumentation used. The adverse effect of noisy measurements in the estimation process is mitigated using an Infinite Impulse Response (IIR) filter. A transient index is introduced to estimate the fault location. The transient state estimation is assessed using two test systems. The results are validated through direct comparison against those obtained by simulation using SimPowerSystems toolbox of Simulink®. With the proposed methodology, the transient state estimation can be obtained with an important saving in the implementation of the measuring system and with considerably less computational effort.Index Terms-Approximation methods, infinite impulse response filters, observability, optimal monitoring, steady state, transient state estimation. I. Molina-Moreno is with the Facultad

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Computationally efficient representation of energy grid-cyber physical system

Tzanis

Andriopoulos

Proiskos

et al. 2018

2018 IEEE Industrial Cyber-Physical Systems (ICPS)

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Time-domain harmonic state estimation using filtered measurements based on Fourier transform

Cited by 3 publications

References 16 publications

Time domain harmonic state estimation in unbalanced power networks based on optimal number of meters and the principle of half‐wave symmetry

Time domain harmonic state estimation in unbalanced power networks based on optimal number of meters and the principle of half‐wave symmetry

A Methodology for Transient State Estimation Based on Numerical Derivatives, Optimal Monitoring, and Filtered Measurements

Computationally efficient representation of energy grid-cyber physical system

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