Towards a Real-time Measurement Platform for Microgrids in Isolated Communities

Kulia, Geir; Molinas, Marta; Lundheim, Lars; Larsen, Bjørn B.

doi:10.1016/j.proeng.2016.08.070

Cited by 9 publications

(2 citation statements)

References 2 publications

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“…This technique has proven to be effective when the signal to which the filter is applied does not contain time varying frequencies, as also reported by Tarasiuk in [4]. In the presence of time varying frequency as the ones reported in [7], [4], the classical determination of oscillating and average power components needs to be revised. The instantaneous power theory (p-q Theory, [2]) provides a foundation that is widely implemented in industry for various applications, ranging from active filters, grid tied inverter control, and any other application that requires a separation of oscillating and average power components from the total instantaneous power calculated from voltage and current measurements.…”

Section: Extraction Of Oscillating Powermentioning

confidence: 84%

Impact of time varying angular frequency on the separation of instantaneous power components in stand-alone power systems

Hillenbrand

Kulia²,

Molinas³

2017

2017 6th International Conference on Clean Electrical Power (ICCEP)

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Abstract-The paper addresses the impact that time varying angular frequencies observed in electrical signals can have on the calculation and separation of components from the instantaneous electric power signal. Instantaneous power theories provide various methods for calculating the instantaneous power components in an electrical network. These methods are based on the basic assumption of constant fundamental frequency and harmonics that are multiple of the fundamental frequency. Recent field measurements in isolated electrical systems have however reported the existence of time varying angular frequencies or instantaneous frequencies. This new observation will affect the very foundation of the established methods for instantaneous power calculation and components separation. This paper analyses the separation of instantaneous average and oscillatory components of powers by using linear and nonlinear filtering approaches in systems that exhibit time varying angular frequencies. The results of this comparison reveals the limitations of the assumption of fundamental and harmonic frequency when using linear filtering techniques in the presence of time varying angular frequencies. Non-linear filtering may offer a more robust and accurate estimation of the instantaneous values of powers and a power quality assessment that better reflects the actual system conditions.

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Section: Extraction Of Oscillating Powermentioning

confidence: 84%

Impact of time varying angular frequency on the separation of instantaneous power components in stand-alone power systems

Hillenbrand

Kulia²,

Molinas³

2017

2017 6th International Conference on Clean Electrical Power (ICCEP)

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“…So it can detect any discontinuity in the vibration data [19]. More recently, the approach based on HT and EMD has been used to identify linear structures effectively [20] and was taken to identify, localize, and determine the damage in structures [21]. They used fractality dimensions based on nonlinear dynamics and SST to discover and diagnose the damage in the structures.…”

Section: Introductionmentioning

confidence: 99%

Analysis of instantaneous frequency for structure condition tracking using time-frequency representation: comparative study

Zhang

et al. 2023

22nd International Scientific Conference Engineering for Rural Development Proceedings

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Damage causes the dynamic structural responses of civil engineering structures to change from linear to nonlinear. It can be challenging to break down signals and identify features, mainly when the data is generated by a nonlinear system and is nonstationary. Under heavy loads and during routine operations, civil structures have been seen to exhibit nonlinear dynamic characteristics. To assess progressive damage, it is necessary to characterize the time-varying attribute of the structure’s nonlinearity and consider how the frequency and amplitude contents of nonstationary vibration responses change over time. The properties of a nonstationary signal cannot be properly described by either time analysis or frequency analysis alone. When measured data include structural damage occurrences, it is critical to extract as much information about the damage as possible from the data. To create a reliable damage detection method that captures damage progression using vibration data gathered by sensors, this work examines the instantaneous frequency (IF) representation utilizing time-frequency distributions of the energy density domain based on short-time Fourier transform, wavelet transform, Hilbert-Huang transform, Wigner-Ville distribution, and synchrosqueezed transform. Each technique capability is validated using various experimental data. It is found that both the synchrosqueezed transform and Wigner distribution proved to be the best performance in terms of IF tracking and showed particular promise due to their spectral energy concentration with the synchrosqueezing transform outdoing other techniques in terms of computation precision.

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Signal Analysis in Power Systems with High Penetration of Non-conventional Energy Sources

Sanabria-Villamizar

López

Alzate

2020

Lecture Notes in Electrical Engineering

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Towards a Real-time Measurement Platform for Microgrids in Isolated Communities

Cited by 9 publications

References 2 publications

Impact of time varying angular frequency on the separation of instantaneous power components in stand-alone power systems

Impact of time varying angular frequency on the separation of instantaneous power components in stand-alone power systems

Analysis of instantaneous frequency for structure condition tracking using time-frequency representation: comparative study

Signal Analysis in Power Systems with High Penetration of Non-conventional Energy Sources

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