Damping measures against prospective oscillations between Turkish grid and ENTSO-E System

Tör, Osman Bülent; Gencoglu, Cihangir; Yılmaz, Oğuz; Cebeci, Emre; Güven, Ali

doi:10.1109/powercon.2010.5666448

Cited by 12 publications

(10 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, after applying FFT to the second window under investigation (20-49 sec), only two low frequency oscillatory modes (0.09 and 0.2 Hz) are observed as depicted on Figure 10-(f) to (j). The low frequency modes identified in this study are in agreement with the low frequency modes characterized on diverse previous studies on the ENTSO-E system [14], [15]. Finally, it should be noteworthy that, the identified clusters by the proposed t-SNE approach preserve the original oscillatory mode content, which confirms the potential of this proposal on transmission power system problems.…”

Section: B Phase Of Signalssupporting

confidence: 89%

Data Analytic Tool for Clustering Identification based on Dimensionality Reduction of Frequency Measurements

Sevilla

Korba

Barocio

et al. 2019

2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)

View full text Add to dashboard Cite

This work presents a data analytic tool for clustering analysis based on Dimensionality Reduction (DR) of power system measurements. The proposed method is applied to frequency measurements of the ENTSO-E dynamic model of continental Europe and the results are compared with other conventional DR approaches. After considerable reduction of the raw measurements, a phasor metric for identification of coherency groups of generators is proposed. The recommended measure stands for its simple implementation, interpretation and fast computation. To illustrate the effectiveness of the clustering approach and the coherency of the metrics, a particular study case following the outage of a representative generation unit in France is presented.

show abstract

Section: B Phase Of Signalssupporting

confidence: 89%

Data Analytic Tool for Clustering Identification based on Dimensionality Reduction of Frequency Measurements

Sevilla

Korba

Barocio

et al. 2019

2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)

View full text Add to dashboard Cite

show abstract

“…This phenomenon is also evaluated in the study. Note that, the integration time of the PI controller is much higher than the inter-area oscillation period which is observed to be $0.15 Hz [4]. Hence, the effect of integration time constant of the controller is negligible on the AGC output and the main focus should be given to the proportional ''P'' constant.…”

Section: Adequacy Of Agc Parameter Settings From Inter-area Oscillatimentioning

confidence: 99%

“…The increase in the proportional gain in AGC system improves the performance indices of the network. However, before increasing the proportional gain in AGC, it should be assured that this will not cause amplification of the current sustained low frequency inter-area oscillations as well [4].…”

Section: Agc Parameter Optimizationmentioning

confidence: 99%

“…Moreover, the ACE could be unavoidably affected by the very low frequency (<0.2 Hz) interarea oscillations on the tie-lines, if any. Dynamic activation of the secondary reserves through the AGC should not introduce any negative damping effect to the inter-area oscillations [4]. In conclusion, sufficient fast secondary reserve with adequate dynamic activation, which is the key factor in satisfying AGC performance indices, necessitates optimization of both AGC parameters and allocation of secondary reserves.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A strategy to enhance AGC performance of power systems that suffer inter-area oscillations and a case study for Turkish power system

Tanidir

Cebeci

Gencoglu³

et al. 2012

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

“…Otherwise, either the insufficient secondary reserves will be compensated by the neighbour interconnected power systems, or the frequency deviation of the system will increase during these hours which may result in load shedding by means of low frequency load shedding relays. Given the complexity of management, secondary reserves are generally allocated fixed amounts for several hours rather than hourly allocation [13]. For example, secondary reserves are allocated twice a day (day and night) in Turkey.…”

Section: The Effects Of Random Load Deviations On the Performance Of mentioning

confidence: 99%

Accuracy of Ann Based Day-Ahead Load Forecasting in Turkish Power System: Degrading and Improving Factors

Tanidir¹,

Tör²

2015

NNW

View full text Add to dashboard Cite

This paper presents development of a day ahead load forecasting (DALF) model for Turkish power system with an artificial neural network (ANN). Effects of special holidays including national and religious days, and hourly random load deviations observed in Turkish power system due to significant arc furnace loads are discussed. Performance of the ANN is investigated in the sense of both DALF performance-in terms of both daily mean absolute percentage error (MAPE) and hourly absolute percentage error (APE)-and hourly secondary reserves required to ensure supply/demand adequacy of the system. The most sensitive cities to DALF in terms of daily city temperature forecasts are ranked in order to reduce the input of the developed ANN and thereby to improve execution of the model. Candidate cities are determined based on both their placement with respect to climatic zones of the country and their contribution to the system load during peak hours. The results show that, although a well-trained ANN could provide very satisfactory daily MAPEs at non-special days, such as ∼1%, the hourly absolute percentage errors (APE) could be significant due to large random load disturbances, which necessitate special attention during the day ahead allocation of hourly secondary reserves. By limiting the temperature data set with major cities, the input of ANN reduces significantly while not disturbing the MAPEs. Main contributions of the study are; addressing both benefits of the prioritizing the cities in a power system in the sense of their temperature forecast effects on the DALF performance and assessing the performance of DALF in the sense of necessary amount of secondary reserves in power systems which include significant random load deviations (e.g., large arc furnace loads).

show abstract

Damping measures against prospective oscillations between Turkish grid and ENTSO-E System

Cited by 12 publications

References 1 publication

Data Analytic Tool for Clustering Identification based on Dimensionality Reduction of Frequency Measurements

Data Analytic Tool for Clustering Identification based on Dimensionality Reduction of Frequency Measurements

A strategy to enhance AGC performance of power systems that suffer inter-area oscillations and a case study for Turkish power system

Accuracy of Ann Based Day-Ahead Load Forecasting in Turkish Power System: Degrading and Improving Factors

Contact Info

Product

Resources

About