Security monitoring systems including fast transient stability studies

Saitô, Osamu; Koizumi, Kinnosuke; Udo, M.; Sato, Masahiro; Mukae, H.; Tsuji, T.

doi:10.1109/t-pas.1975.32024

Cited by 50 publications

(3 citation statements)

References 10 publications

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“…But they may not offer the strategy for the preventive control. In addition, efforts based on trajectory sensitivity [27], pattern recognition method [28], machine learning [29], [30] have been contributed in this field.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Security Analysis of Power Systems by a Sampling-Based Algorithm

Koo

Susuki

2018

ACM Trans. Cyber-Phys. Syst.

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Dynamic security analysis is an important problem of power systems on ensuring safe operation and stable power supply even when certain faults occur. No matter such faults are caused by vulnerabilities of system components, physical attacks, or cyber-attacks that are more related to cyber-security, they eventually affect the physical stability of a power system. Examples of the loss of physical stability include the Northeast blackout of 2003 in North America and the 2015 system-wide blackout in Ukraine. The nonlinear hybrid nature, that is, nonlinear continuous dynamics integrated with discrete switching, and the high degree of freedom property of power system dynamics make it challenging to conduct the dynamic security analysis. In this paper, we use the hybrid automaton model to describe the dynamics of a power system and mainly deal with the index-1 differential-algebraic equation models regarding the continuous dynamics in different discrete states. The analysis problem is formulated as a reachability problem of the associated hybrid model. A sampling-based algorithm is then proposed by integrating modeling and randomized simulation of the hybrid dynamics to search for a feasible execution connecting an initial state of the post-fault system and a target set in the desired operation mode. The proposed method enables the use of existing power system simulators for the synthesis of discrete switching and control strategies through randomized simulation. The effectiveness and performance of the proposed approach are demonstrated with an application to the dynamic security analysis of the New England 39-bus benchmark power system exhibiting hybrid dynamics. In addition to evaluating the dynamic security, the proposed method searches for a feasible strategy to ensure the dynamic security of the system in face of disruptions.

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Section: Introductionmentioning

confidence: 99%

Dynamic Security Analysis of Power Systems by a Sampling-Based Algorithm

Koo

Susuki

2018

ACM Trans. Cyber-Phys. Syst.

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“…al. [9], who used a trial and error approach combined with a fast transient stability evaluation based on a perceptron pattern recognition method.…”

Section: Introductionmentioning

confidence: 99%

Real time preventive actions for transient stability enhancement with a hybrid neural network-optimization approach

Miranda

Fidalgo

Lopes

et al. 1995

IEEE Trans. Power Syst.

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This paper reports a new approach in defining preventive control measures to assure transient stability relatively to one or several contingencies that may occur separately in a power system. Generation dispatch is driven not only by economic functions but also with the derivatives of the transient energy margin value; these derivatives are obtained directly from a trained Artificial Neural Network (ANN), using real time monitorable system values. Results obtained from computer simulations, for several contingencies in the CIGRE test system, confirm the validity of the developed approach.

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“…Fouad (29) proposed the use of the stability margin concept to deal with multiple disturbances and suggested that the allov;able perturbations can be related to either load (generation) changes or network changes. The concept of a transient stability margin also appeared in the Soviet literature as a means of assessing transient system behavior (30).…”

Section: Current Issues To Be Resolvedmentioning

confidence: 99%

Assessment of the stability of a multimachine power system by the transient energy margin

Stanton

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Security monitoring systems including fast transient stability studies

Cited by 50 publications

References 10 publications

Dynamic Security Analysis of Power Systems by a Sampling-Based Algorithm

Dynamic Security Analysis of Power Systems by a Sampling-Based Algorithm

Real time preventive actions for transient stability enhancement with a hybrid neural network-optimization approach

Assessment of the stability of a multimachine power system by the transient energy margin

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