Impact of penetration of non-synchronous generators on power system dynamics

Papadopoulos, Panagiotis; Milanović, Jovica V.

doi:10.1109/ptc.2015.7232308

Cited by 13 publications

(8 citation statements)

References 12 publications

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“…2 shows the histogram of the damping of the critical electromechanical mode obtained from 1000 MC simulations and corresponding, fitted pdf based on normal distribution to illustrate the effect of uncertainties on small disturbance stability. Finally, power system transient stability is most frequently analyzed using the transient stability index (TSI) given by (2) [30][31][32]…”

Section: Voltage and Angular Stabilitymentioning

confidence: 99%

Identification of Critical Parameters Affecting Voltage and Angular Stability Considering Load-Renewable Generation Correlations

Hasan

Milanović

2019

IEEE Trans. Power Syst.

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The renewable energy source based generating technologies and flexible demand and storage devices exhibit significant temporal and spatial uncertainties in generating and loading profiles and introduce additional level of uncertainty in network operation. The dynamic behaviours of such a network can be affected and the stable operation may be compromised. This paper proposes a probabilistic analysis approach for the evaluation of the effect of uncertain parameters on power system voltage and angular stability. Load margin, the damping of critical eigenvalues and the transient stability index (TSI) have been chosen as the relevant stability indices for voltage stability, small-disturbance stability and transient stability analysis, respectively. The Morris screening sensitivity analysis method coupled with a multivariate Gaussian copula to account for parameter correlations is used for the priority ranking of uncertain parameters. The approach is illustrated on a number of case studies using modified IEEE 68-bus NETS-NYPS test system. The results obtained in this paper reveal that the critical parameters appear as groups if the input dataset is correlated, and hence even a parameter (which may be uninfluential individually) can have a significant impact on system dynamic behaviour due to its correlation with other influential parameters.

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Section: Voltage and Angular Stabilitymentioning

confidence: 99%

Identification of Critical Parameters Affecting Voltage and Angular Stability Considering Load-Renewable Generation Correlations

Hasan

Milanović

2019

IEEE Trans. Power Syst.

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“…Equation 2measures the magnitude of oscillations of each generator's rotor angle after a period of time after the fault. The system is considered to settle to a new steady state if the index value is smaller than 5% [9].…”

Section: A Stability Indicesmentioning

confidence: 99%

“…More and more studies, e.g. [9], are investigating the impact of penetration of DERs on power system dynamics. This paper combines the two in a way and considers the uncertainties in DERs (Wind generation and PhotoVoltaics generation) and system loading, and assesses their influence on system transient stability.…”

Section: Introductionmentioning

confidence: 99%

Power System Transient Stability Analysis in Networks with Renewable Generation Considering Variable Correlations

Qi¹,

Milanović²

2018

11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018)

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Modern Power Systems are equipped with new technologies like renewable energy sources (RES) and flexible power-consuming devices. These new technologies introduce uncertainties in system generating and loading profiles which in turn affect the dynamic characteristics, and the stable operation of the system might be at risk. This paper employs sensitivity analysis method for the identification and ranking of critical uncertain parameters affecting transient stability in a large meshed network with renewable generation. Copula method is used in this paper in order to model the correlations between uncertain parameters based on real system data. The paper develops methodology for identifying influential parameters which have the dominant effect on network transient stability behaviour. "Heat Map" is used as graphical representation of the results on which the influence of system uncertainties is clearly demonstrated. Economic and optimal operation of the power system in terms of stability can be achieved through concentrating resources in the monitoring and fine-tuning of the identified critical parameters.

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“…The models used are available in DIgSILENT/PowerFactory [11] software and are suitable generic RMS models for large scale stability studies following a similar approach to [12]. More information on the modified test network and RES modelling can be found in [13]. All RES units are considered to provide Fault Ride Through (FRT) capability.…”

Section: A Test Systemmentioning

confidence: 99%

Feasibility study of applicability of recurrence quantification analysis for clustering of power system dynamic responses

Papadopoulos

Milanović

Bhui

et al. 2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Impact of penetration of non-synchronous generators on power system dynamics

Cited by 13 publications

References 12 publications

Identification of Critical Parameters Affecting Voltage and Angular Stability Considering Load-Renewable Generation Correlations

Identification of Critical Parameters Affecting Voltage and Angular Stability Considering Load-Renewable Generation Correlations

Power System Transient Stability Analysis in Networks with Renewable Generation Considering Variable Correlations

Feasibility study of applicability of recurrence quantification analysis for clustering of power system dynamic responses

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