Model free graphical index for transient stability limit based on on‐line single machine equivalent system identification

Shamisa, Abdolah; Karrari, M.

doi:10.1049/iet-gtd.2015.1539

Cited by 13 publications

(4 citation statements)

References 27 publications

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“…On the other hand, [14] compute the fault-on trajectory at the stability boundary to detect the critical generator and then obtain the CCT by computing the least square minimisation. Further, [15] approximates the whole power system with a single machine equivalent model, then estimates the transient stability limit by a graphical index based on the transient energy approach. While [16] proposes a non-parametric statistic scheme to evaluate the stability margin online.…”

Section: Discussionmentioning

confidence: 99%

“…Meanwhile, the proposed methodology only uses local temporary information, and it is suitable for online applications. Besides, this method does not use an equivalent of the power system as in [15] and [24]. Moreover, the proposed algorithm does not calculate the DAEs of the power system or use the TDS to set initial parameters, unlike [7], [14]- [16].…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, [15] introduces a study where the whole power system is represented with a single machine equivalent model, and its parameters are estimated using online measured data. Then, a graphical index, based on the transient energy approach, is introduced to estimate the transient stability limit.…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, some others require knowing network topology and power system parameters such as the impedance of the transmission lines, inertia, and synchronous generators damping, leading to low accuracy of the CCT when the system parameters are unknown. Finally, other methodologies, such as [15], [24], require representing the entire power system into a single machine equivalent model, overlooking relevant information of the power system. These drawbacks grow the need to develop new methodologies to estimate the critical clearing time of a fault.…”

Section: Introductionmentioning

confidence: 99%

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Single Value Decomposition to Estimate Critical Clearing Time of a Power System Using Measurements

et al. 2021

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The transient stability analysis of large-interconnected power systems using time-domain simulations (TDS) is a significant challenge since it represents a huge computational cost. Besides, for dynamic security assessment is required have a quick response. Consequently, recent approaches are relying on using the wide-area measurement system combined with other techniques to perform transient stability assessment and counteract the drawbacks of the TDS method. However, these approaches still requiring to perform TDS to set initial parameters. This paper proposes a new algorithm to estimate the critical clearing time (CCT) based on the eigenvalue calculation and the singular value decomposition using data from wide-area measurement systems. The proposed algorithm uses the phase angles of the voltage phasors measurements at the generation buses to represent the dynamics of the internal angles of the generators. First, from a set of signals, a measurement matrix is formed using a sliding window. Then, a threshold based on the maximum singular value and the dominant eigenvalue of the measurement matrix are computed. Finally, the CCT is estimated using the dominant eigenvalue (the most energetic eigenvalue) and the threshold. The proposed algorithm is evaluated using the Kundur four-machine system and New England 39-Bus system. Its performance contrasts to the CCT calculated using the classical TDS. The simulation results demonstrated acceptable precision of the CCT against TDS. Also, it presents robustness against the effect of the noise in the measurements. Therefore, it is suitable for online applications.

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Section: Discussionmentioning

confidence: 99%