Directional relaying using parameter estimation approach

Suryanarayana, Gowri; Rao, G. Kesava; Sarangi, Saumendra; Raja, P.

doi:10.1016/j.ijepes.2018.12.003

Cited by 20 publications

(7 citation statements)

References 25 publications

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“…Directional relaying schemes and algorithms are essential for MG protection to enhance the protection system, reliability, sensitivity, selectivity, and flexibility. Conventional directional relay methods are based on the phasor of voltage and current [125]. Due to the low impedance of the line and feeder of active distribution networks and MGs, it is difficult to identify the fault direction during three-phase faults.…”

Section: Fault Direction Identificationmentioning

confidence: 99%

Recent Developments and Challenges on AC Microgrids Fault Detection and Protection Systems–A Review

et al. 2020

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The protection of AC microgrids (MGs) is an issue of paramount importance to ensure their reliable and safe operation. Designing reliable protection mechanism, however, is not a trivial task, as many practical issues need to be considered. The operation mode of MGs, which can be grid-connected or islanded, employed control strategy and practical limitations of the power electronic converters that are utilized to interface renewable energy sources and the grid, are some of the practical constraints that make fault detection, classification, and coordination in MGs different from legacy grid protection. This article aims to present the state-of-the-art of the latest research and developments, including the challenges and issues in the field of AC MG protection. A broad overview of the available fault detection, fault classification, and fault location techniques for AC MG protection and coordination are presented. Moreover, the available methods are classified, and their advantages and disadvantages are discussed.

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Section: Fault Direction Identificationmentioning

confidence: 99%

Recent Developments and Challenges on AC Microgrids Fault Detection and Protection Systems–A Review

et al. 2020

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“…The phase angles of reference current in (7) and (13) are defined as ∠ I F1 or I F4 * α + ∠ I F1 or I F4 * α 3 /2 plus +π/2. In this definition, the term +π/2 has been selected in such a way that the upper and lower sides of the trigonometric circle indicate the forward and reverse faults, respectively (as shown in Fig.…”

Section: Forward Power Flowmentioning

confidence: 99%

“…The performance of this technique has not been tested during SCTLs. In [13], by measuring line parameters and signs of resistance through voltage and current samples, a directional relaying scheme has been introduced. Owing to the use of current and voltage samples, the performance of the method in [13] has been affected by the presence of harmonics, noise, and decaying DC components.…”

Section: Introductionmentioning

confidence: 99%

“…In [13], by measuring line parameters and signs of resistance through voltage and current samples, a directional relaying scheme has been introduced. Owing to the use of current and voltage samples, the performance of the method in [13] has been affected by the presence of harmonics, noise, and decaying DC components. To solve this problem, increasing the sampling rate has been proposed while it will increase the complexity and computational burden of the approach.…”

Section: Introductionmentioning

confidence: 99%

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Current‐based directional relaying scheme to protect series compensated transmission lines used to transmit bulk power produced by power electronics interfaced renewable energy power plants

Jalilian

Muttaqi

2020

IET Generation, Transmission & Distribution

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“…Parameter identification techniques have been applied in different applications, including motor drives [8], power converters [9], load control [10],arc modelling [11], battery and super capacitor systems [12] or transmission lines relaying [13], among others. Parameter identification involves a set of experimental methods focused on obtaining the dynamic behavior of a complex system by applying suitable algorithms.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Least Squares Optimization for Parametric Identification of DC–DC Converters

Rojas-Dueñas

Riba

Moreno-Eguilaz

2021

IEEE Trans. Power Electron.

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Switching mode power converters are being extensively applied in different power conversion systems. Parameter identification comprises a set of techniques focused on extracting the relevant parameters of the converters in order to generate accurate discrete simulation models or to design enhanced condition diagnosis schemes. This paper applies a noninvasive optimization approach based on the non-linear least squares algorithm to determine the model parameters of different commercially available DC-DC power converters (buck, boost and buck-boost) from experimental data, including the parameters related to passive, parasitic and control loop elements. The proposed approach is based on a non-invasive on-line acquisition of the input/output voltages and currents under both steady state and transient conditions. The proposed method can also be applied to many other applications requiring precise and efficient parameter identification, including rectifiers, filters, or power supplies among others.

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Directional relaying using parameter estimation approach

Cited by 20 publications

References 25 publications

Recent Developments and Challenges on AC Microgrids Fault Detection and Protection Systems–A Review

Recent Developments and Challenges on AC Microgrids Fault Detection and Protection Systems–A Review

Current‐based directional relaying scheme to protect series compensated transmission lines used to transmit bulk power produced by power electronics interfaced renewable energy power plants

Nonlinear Least Squares Optimization for Parametric Identification of DC–DC Converters

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