Development of PMU-Based Transient Stability Detection Methods Using CNN-LSTM Considering Time Series Data Measurement

Azhar, Izzuddin Fathin; Putranto, Lesnanto Multa; Irnawan, Roni

doi:10.3390/en15218241

Cited by 12 publications

(9 citation statements)

References 39 publications

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“…When a WADC output signal is lost, it is similar to zeroing the column referring to this signal in the matrix B, as its effect is nullified. Therefore, resilience to communication failures consists of properly zeroing the rows or columns of the matrices B and C. These communication failures affect the closed-loop matrix A, and thus, two additional sets of matrices can be defined: (i) associated with the lost signal at the WADC input (26); and (ii) associated with the lost signal at the WADC output (27).…”

Section: Robustness To Communication Failurementioning

confidence: 99%

“…Thus, designing a WADC resilient to communication failure consists of finding the parameters of the WADC that meet the requirements of good damping rates of the three closed-loop matrices: A in ( 16), A in (26), and Ȃ in (27).…”

Section: Robustness To Communication Failurementioning

confidence: 99%

“…PMUs installed on system buses collect three-phase voltage and current measurements with high sampling rates and time synchronization, thus allowing global system information for the most varied applications. These real data from PMUs have encouraged the scientific community to develop different applications for the improvement of large electrical systems [18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

Bento

2023

Energies

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The operation of modern power systems must meet stability requirements to guarantee the supply of electrical energy. One of these requirements is to ensure that the low-frequency oscillation modes have high damping ratios to avoid angular instability and future power system blackouts. Advances in phasor measurement units (PMUs) have contributed to the development and improvement of wide-area damping controllers (WADCs) capable of increasing the damping rates of the oscillation modes of the system, especially the inter-area modes. Nevertheless, the operation of WADCs is vulnerable to communication failures and cyber-attacks, and if not properly designed the WADC can affect the stability of the entire system. This research proposes a procedure for designing a WADC robust to permanent communication failures using a linear quadratic regulator (LQR) and genetic algorithms. Case studies conducted on an IEEE 68-bus test power system show the effectiveness of the WADC designed by the proposed procedure even when communication failures are occurring in the system. The use of genetic algorithms improves the convergence and results of the LQR-based method.

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Section: Robustness To Communication Failurementioning

confidence: 99%

Section: Robustness To Communication Failurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

Bento

2023

Energies

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“…The proposed algorithm was compared with Bi-GRU [14], CNN-LSTM [49], and STVS [26] algorithms at missing data rates of 0.3, 0.5, and 0.7, and the results are shown in Table 3. It is evident that the proposed IVS-GAN model exhibited the best performance in the stability assessment of high missing rate voltage data.…”

Section: Model Comparisonmentioning

confidence: 99%

Power system stability assessment method based on GAN and GRU‐Attention using incomplete voltage data

Deng

Jia

et al. 2023

IET Generation Trans & Dist

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The social economy is growing rapidly, and the power grid load demand is increasing. To maintain the stability of the power grid, it is crucial to achieve accurate and rapid power system stability assessment. In the actual operation of the power network, data loss is an unavoidable situation. However, most of the data‐driven models currently used assume that the input data is complete, which has obvious limitations in real‐world applications. This paper suggests an IVS‐GAN model to assess power system stability using incomplete phasor measurement unit measurement data with random loss. The proposed method combines the super‐resolution perception technology based on generative adversarial network (GAN) with a time‐series signal classification model. The generator adopts a 1D U‐Net network and uses convolutional layers to complete and recover missing data. The discriminator adopts a new gated recurrent unit–attention architecture proposed here to better extract voltage temporal variation features on key buses. The result of this paper is that the stability evaluation method outperforms other algorithms in high voltage data loss rates on the New England 10‐machine 39‐bus system.

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“…Loss binary cross entropy function is used to measure the binary classification while loss categorical cross entropy function is used for multiclass. The mathematical formulation of those two functions is presented in equations ( 6) and ( 7) [27] as follow:…”

Section: Model Formulationmentioning

confidence: 99%

A Proposed PMU-based Voltage Stability and Critical Bus Detection Method using Artificial Neural Network

Putranto,

Azhar

2023

Preprint

Self Cite

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Voltage stability detection is currently still becoming the main issue in the modern power system which renewable energy integrated. Classical method to assess the voltage stability require complete model of power system, power system analysis and long computation time. In the data driven analysis and synchronized measurement era, the model can be proposed based on the historical data to deal with the complexity. For that reason, the voltage stability and critical bus detection based on ANN algorithm with the instantaneous PMU measurement is proposed. Seven hidden layers consisted of one normalization, four rectifier linear unit, one softmax and one sigmoid layer are formulated to do the detection. To measure the accuracy, the k-fold cross-validation is used. The proposed model is simulated on modified IEEE 14 test system which consider different loading scenario, line contingency, number of PMU and PV integration. To mimic the actual historical data, the synthetic data is generated and labelled. The result shows that the proposed method can represent the complete power system model by giving high accuracy which for voltage stability detection is > 97% and critical buses detection is > 96% for all scenarios. Moreover, the required computation time is between 16–18 second per detection which make the scalability to the real time detection is reasonable.

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Development of PMU-Based Transient Stability Detection Methods Using CNN-LSTM Considering Time Series Data Measurement

Cited by 12 publications

References 39 publications

Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

Power system stability assessment method based on GAN and GRU‐Attention using incomplete voltage data

A Proposed PMU-based Voltage Stability and Critical Bus Detection Method using Artificial Neural Network

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