Adaptive criteria of estimating power system separation times based on inter‐area signal

Ranjbar, Soheil

doi:10.1049/gtd2.12750

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…Ranjbar [5] proposes an online protective scheme for estimating critical inter‐area angle (CIA) for controlling the inter‐area oscillations (IAOs) based on evaluating the rate of changes of the IAOs’ rotor angles as an adaptive tripping index (ATI). For this purpose, by using wide area measuring system (WAMS) data, the synchronous generators (SGs) oscillatory signals Δδ and Δω are measured based on evaluating the signal's correlation coefficients, coherent groups, and corresponding oscillating areas are provided.…”

Section: Papers In the Special Issuementioning

confidence: 99%

Guest Editorial: Recent trends of power flow control in power system networks

Bakhsh

Padmanaban

Siddiqui

et al. 2023

IET Generation Trans & Dist

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Section: Papers In the Special Issuementioning

confidence: 99%

Guest Editorial: Recent trends of power flow control in power system networks

Bakhsh

Padmanaban

Siddiqui

et al. 2023

IET Generation Trans & Dist

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“…Unfortunately, all the provided results refer to only simulation study (as also in [26]) and no example of methods application to measurements data coming from actual devices and network is given. Rotor angles and speed deviations are the inputs of the method presented in [27]. Two limitations are related to (i) the need of knowing the network model (the system is partitioned into two areas whose equivalent power and inertia is estimated) and (ii) the exploited thresholding approach that should fail in the presence of noisy input signals.…”

Section: Related Workmentioning

confidence: 99%

A Robust Spectral Clustering Method Based on PMU Measurements for Coherent Areas Identification

Liccardo,

Lauria,

Bonavolontã

et al. 2023

IEEE Access

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The paper deals with the separation of power system into coherent areas; this is a relevant issue for managing the network in both normal operating conditions and during anomalous events. In particular, the attention is focused on partitioning the power system in such a way as to group together frequency signals, measured by means of phasor measurement units (PMU), exhibiting similar oscillatory behavior after the occurrence of a fault or disturbance. Unfortunately, the increasingly massive presence of renewable energy sources is undermining the clustering methods defined so far, requiring new solutions to the problem. To overcome the considered drawbacks, the authors propose hereinafter to (i) improve the grouping capabilities of an iterative spectral clustering method thanks to the definition of new parameters for similarity estimation (Modified Bray Curtis index) and cluster thresholding (weighted Fiedler value) as well as (ii) enhance its robustness with respect to both measurement noise and uncertainty affecting the PMUs by means of a deep test procedure. To this aim, particular attention is paid in the design and assessment stage to the definition of both filtering algorithm and measurement parameters (e.g., the length of the analysis window). Once defined these parameters, the method is capable of 100% correctly separating transmission network sections oscillating with similar trends in a number of tests conducted on simulated and actual signals, so highlighting the promising performance of the method highlighting its reliability and efficacy in different test conditions.INDEX TERMS Frequency oscillations, interarea oscillations, PMU measurements, power transmission network, spectral clustering.

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Real‐time estimation of the synchronous generator dynamic parameters using actual phasor measurement unit data and experimental evaluations

Ranjbar

2024

IET Electric Power Appl

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An online non‐model‐based procedure is presented for estimating the synchronous generator (SG) dynamic parameters using practical phasor measurement unit (PMU) signals in the presence of uncertainty and noisy data. For this purpose, considering 8th‐order approximation, the SGs model is estimated in which, based on evaluating voltage and current phasors achieved from PMU data, dynamic parameters are estimated online. The proposed approach is a generalised concept of the Heffron–Philips model in which the variables and the gain factors are adaptable according to operating conditions. The proposed scheme is an online and non‐model‐based method in which the SG magnetic saturation behaviours are modelled through multivariable non‐linear definition to extend the accurate controlling structure. In this case, two different studies are carried out. In the first study, considering a single SG is connected to the infinite bus, the ability of the proposed method through simulation studies is evaluated. In the second study, the proposed scheme is developed practically in the laboratory whereby performing the experimental structure on different types through real‐time working mode, validation of the proposed estimated model through different operating points is evaluated. Experimental results show the effectiveness of the proposed practical scheme for estimating the generator's detailed model and non‐linear dynamic parameters through real‐time evaluations.

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Adaptive criteria of estimating power system separation times based on inter‐area signal

Cited by 4 publications

References 33 publications

Guest Editorial: Recent trends of power flow control in power system networks

Guest Editorial: Recent trends of power flow control in power system networks

A Robust Spectral Clustering Method Based on PMU Measurements for Coherent Areas Identification

Real‐time estimation of the synchronous generator dynamic parameters using actual phasor measurement unit data and experimental evaluations

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