Out‐of‐step protection of synchronous generators based on a digital phase comparison in the time domain

Ostojić, Mladen M.; Djurić, M.

doi:10.1049/iet-gtd.2017.0604

Cited by 16 publications

(10 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed algorithm is based on the application of the digital phase comparison in the time domain. [33][34][35][36][37][38][39] The integral of the product of the instantaneous values of input signals is calculated at interval equal to the half period of the input signal. The product of two sinusoidal signals has two times higher frequency compared to input signals.…”

Section: The Proposed Algorithmmentioning

confidence: 99%

An algorithm with voltage inputs for detecting conductor breaks in radial distribution networks

Ostojić¹,

Stojanović

2021

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

The article presents a new algorithm for detecting conductor breaks in ungrounded radial distribution networks. The algorithm uses the instantaneous values of the phase-to-phase voltages, measured at the end of the radial line as input signals. As the first indicator of conductor break, the broken conductor index (BCI) was introduced. BCI is a phase comparator that indirectly estimates the angle between the phase-to-phase voltages by calculating the integral of the product of the instantaneous values. As an additional indicator of conductor break, the algorithm uses a comparison of the RMS values of the phase-to-phase voltages. The proposed algorithm testing was performed on a model of the radial distribution network with multiple lines modeled in the MATLAB/Simulink software package. Experimental testing of the presented algorithm was performed on a laboratory model of the test network.

show abstract

Section: The Proposed Algorithmmentioning

confidence: 99%

An algorithm with voltage inputs for detecting conductor breaks in radial distribution networks

Ostojić¹,

Stojanović

2021

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

show abstract

“…Estimation of rotor angle by exploiting EAC is used by Alinezhad and Karegar [8] for out-ofstep protection instead of impedance relay. Time-domain phase comparison is a local algorithm [9], which calculates internal voltages of the generator and detects instability condition. The performance of traditional out-of-step protection scheme and renewable integration is another topic [10].…”

Section: Introductionmentioning

confidence: 99%

Online synchronous generator out‐of‐step prediction by electrical power curve fitting

Sobbouhi

Vahedi

2020

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…The stable and OOS swings are classified using the accelerating and decelerating energies that represent power‐time curve. Ostojić and Đurić present a time domain algorithm for detecting OOS condition. The algorithm uses basic mathematical operations which test by the computer simulations on both turbo and hydro‐generator models.…”

Section: Introductionmentioning

confidence: 99%

“…Many techniques can be found in literature, and Table 1 shows a brief review of the related researches. It is seen that generally the algorithms for recognizing OOS condition can be categorized into 2 groups: detection algorithms [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] and prediction algorithms. [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] In Table 1, it is concluded that a number of conventional methods including an adaptive OOS relay, based on the classical equal area criterion using power angle (P-δ), are proposed in which the newly developed technology of synchronized phasor measurements plays an important role.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent prediction of out-of-step condition on synchronous generators because of transient instability crisis

Zare

Alinejad‐Beromi

Yaghobi

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary This paper presents an adaptive scheme for predicting out‐of‐step (OOS) condition of synchronous generator based on the Bayesian technique. The proposed scheme performs as an intelligent OOS method for synchronous generators from which by using training variables, the tripping signals are estimated. For classifying target classes between stable and OOS conditions, a series of measurements are derived under various fault scenarios including topological and operational disturbances. The tripping signals are estimated by using feature selection technique based on the Bayesian technique. In this procedure, the data of input variables and corresponding output target classes are implemented as input‐output pair data for Bayesian training and testing. For this propose, the ability of the OOS protective scheme is examined for a number of unseen samples in working mode. The proposed approach is applied on IEEE 39‐bus test system from which by using trained variables, the tripping signals are estimated online. Furthermore, to evaluate the proposed protective scheme in real‐time environment, a 2‐machine experimental case is used to assess the effectiveness of the proposed scheme. The results show a promising performance of proposed protective scheme for proper estimating of tripping signals.

show abstract

Out‐of‐step protection of synchronous generators based on a digital phase comparison in the time domain

Cited by 16 publications

References 27 publications

An algorithm with voltage inputs for detecting conductor breaks in radial distribution networks

An algorithm with voltage inputs for detecting conductor breaks in radial distribution networks

Online synchronous generator out‐of‐step prediction by electrical power curve fitting

Intelligent prediction of out-of-step condition on synchronous generators because of transient instability crisis

Contact Info

Product

Resources

About