Risk-Based Dynamic Security Assessment

Dissanayaka, A.; Annakkage, U.D.; Jayasekara, B.; Bagen, B.

doi:10.1109/tpwrs.2010.2089809

Cited by 41 publications

(40 citation statements)

References 25 publications

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“…In [14], the approximate method is used to evaluate the transient stability by considering load uncertainties. In [15À17], the single machine infinite bus model of network is used.…”

Section: Probabilistic Transient Stability Assessment Methodsmentioning

confidence: 99%

Probabilistic Allocation of Thyristor-controlled Phase Shifting Transformer for Transient Stability Enhancement of Electric Power System

Ashpazi

Mohammadi‐Ivatloo

Zare

et al. 2015

IETE Journal of Research

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Due to the large number of uncertainties in operation and planning of power system, it is appropriate to analyse the transient stability assessment as a stochastic problem. This paper presents the probabilistic approach to determine the optimal location of thyristor-controlled phase shifting transformer (TCPST) for enhancing the transient stability of power system. TCPSTs are the cost-effective means to ensure reliable and efficient power flow control in overloaded transmission lines. This feature leads to reduction of the rotor angle separation of synchronous generators during disturbance occurrence which improves transient stability of the system. To select the optimal location of the TCPSTs, the analysis of angular separation of rotors of generators is calculated by considering the probabilistic factors. The Western-System-Coordinating-Council (WSCC) 9-bus and Institute of Electrical and Electronics Engineers (IEEE) New-England 39 bus test systems were used to demonstrate the feasibility and applicability of the presented method.

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“…In [14], the approximate method is used to evaluate the transient stability by considering load uncertainties. In [15À17], the single machine infinite bus model of network is used.…”

Section: Probabilistic Transient Stability Assessment Methodsmentioning

confidence: 99%

Probabilistic Allocation of Thyristor-controlled Phase Shifting Transformer for Transient Stability Enhancement of Electric Power System

Ashpazi

Mohammadi‐Ivatloo

Zare

et al. 2015

IETE Journal of Research

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“…Significant works have been developed and utilized based on arcane or original techniques such as the conditional probabilities [42], health analysis [43], bisection method [44], collocation method [45], Bayes classifier [46], cascading failure analysis [47], copula theory [48], cross-entropy methods [49], and bootstrap techniques [50]. Detailed comparisons between several methods have already been published [51] and research efforts in this area continue thriving [52][53][54]. Notwithstanding, despite the significant amount of literature, it seems that probabilistic security analysis has not yet gained large acceptance in the industry environment.…”

Section: Probabilistic Small Signal and Transient Stability Analyses:mentioning

confidence: 99%

Computational framework combining static and transient power system security evaluation using uncertainties

Takahata

Santos

Taranto

et al. 2015

International Journal of Electrical Power & Energy Systems

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“…The assessment and presentation of the effects of nodal power injection uncertainties, including the system generators and loads power injection, on small signal stability are now widely recognized as important parts of power system probabilistic security analysis [11]. From the practical point of view, nodal power possesses random volatility all the time.…”

Section: System Uncertainties Modelingmentioning

confidence: 99%

“…On the other hand, from the viewpoint of modeling, the existing PSSSA research considers the nodal power injections as independent random variables normally [11]. In fact, different nodal power injections always exhibit correlation in a certain degree due to the impact of the consumer rest rules, geographical distribution, climate change and other factors.…”

Section: Introductionmentioning

confidence: 99%

Latin Hypercube Sampling Based Probabilistic Small Signal Stability Analysis Considering Load Correlation

Zuo¹,

Li²,

Cai³

et al. 2014

Journal of Electrical Engineering and Technology

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-A novel probabilistic small signal stability analysis (PSSSA) method considering load correlation is proposed in this paper. The superiority Latin hypercube sampling (LHS) technique combined with Monte Carlo simulation (MCS) is utilized to investigate the probabilistic small signal stability of power system in presence of load correlation. LHS helps to reduce the sampling size, meanwhile guarantees the accuracy and robustness of the solutions. The correlation coefficient matrix is adopted to represent the correlations between loads. Simulation results of the two-area, four-machine system prove that the proposed method is an efficient and robust sampling method. Simulation results of the 16-machine, 68-bus test system indicate that load correlation has a significant impact on the probabilistic analysis result of the critical oscillation mode under a certain degree of load uncertainty.

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Risk-Based Dynamic Security Assessment

Cited by 41 publications

References 25 publications

Probabilistic Allocation of Thyristor-controlled Phase Shifting Transformer for Transient Stability Enhancement of Electric Power System

Probabilistic Allocation of Thyristor-controlled Phase Shifting Transformer for Transient Stability Enhancement of Electric Power System

Computational framework combining static and transient power system security evaluation using uncertainties

Latin Hypercube Sampling Based Probabilistic Small Signal Stability Analysis Considering Load Correlation

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