The main causes of incidents in the Portuguese Transmission System &amp;#x2014; Their characterization and how they can be used for risk assessment

Almeida, Susana A. B. de; Pestana, Rui; Barbosa, F. P. Maciel

doi:10.1109/eem.2009.5207218

Cited by 4 publications

(4 citation statements)

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“…The security analysis procedures require the simulation of a large number of situations, such as outages of transmission lines, transformers, generating units and compensation facilities. Incidents are unpredictable contingencies and recent experiences prove that severe disturbances happen despite all the best efforts of the system operators to anticipate and prevent these events [12].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Impact of external elements on the responsibility area of a Transmission System Operator using the influence factor method

Santos

Abreu

Ferreira

et al. 2012

2012 47th International Universities Power Engineering Conference (UPEC)

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In the last years, the electric power systems have been restructured, moving from a vertical integrated model to a market oriented environment. The new paradigms associated with the restructuring of the electricity sector made it critical to develop new efficient and reliable methodologies to study and analyze the security of the power networks. In this paper it is proposed a method to evaluate the impact of external elements on the responsibility area of a Transmission System Operator (TSO) using the influence factor method. This approach offers a concrete support in the determination of the observability area, which at the end remains in the responsibility of the single TSO. The influence factor is a numerical value used to quantify the greatest effect of the outage of an external network component on any internal network branch. The developed methodology was applied to study the IEEE 118 bus test power network. All simulations of the transmission systems of the IEEE 118 bus were performed using the PSS®E software package from Siemens PTI, making the division of the network in two countries (areas). From the simulation results, some conclusions that provide a valuable contribution to understanding the influence factor method are pointed out.

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Section: Formulation Of the Problemmentioning

confidence: 99%

Impact of external elements on the responsibility area of a Transmission System Operator using the influence factor method

Santos

Abreu

Ferreira

et al. 2012

2012 47th International Universities Power Engineering Conference (UPEC)

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“…Reference [6] presents an accurate characterization of the incidents' main causes, an analysis of their occurrence and of the intrinsic characteristics of the Portuguese territory, including the mentioned input data, which are crucial for the risk assessment methodology. Due to the fact that several causes are dependent on length and on the intrinsic characteristics across the Portuguese territory, this methodology needs accurate network topology and physical characteristics data, geographical and environmental information, which makes it mainly possible within a TSO structure, where the asset owner and system operator are the same entity.…”

Section: Scada -Ems Snapshotmentioning

confidence: 99%

Integration of common cause faults in the operational probabilistic approach

Almeida

Pestana

Barbosa

2010

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems

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“…1. This draws inspiration from the ideas discussed in [13], [18], [21], [35], putting such approaches into a generalized framework.…”

Section: Framework For Threat Based Failure Ratesmentioning

confidence: 99%

“…The operation of the transmission system is then optimised to mitigate the risks associated with discrete and continuous uncertainty. The cause of the events within the discrete contingency set, and the calculation of their probabilities, is not often elaborated on [13]- [15]. It is often assumed that the probability of a contingency occurring is constant; calculated from historical fault data.…”

Section: Linking Threats and Failure Ratesmentioning

confidence: 99%

Framework for Threat Based Failure Rates in Transmission System Operation

Perkin¹,

Bjornsson²,

Baldursdottir³

et al. 2016

2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SM

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Abstract-Reliability of electrical transmission systems is presently managed by applying the deterministic N-1 criterion, or some variant thereof. This means that transmission systems are designed with at least one level of redundancy, regardless of the cost of doing so, or the severity of the risks they mitigate. In an operational context, the N-1 criterion provides a reliability target but it fails to accurately capture the dynamic nature of shortterm threats to transmission systems. Ongoing research aims to overcome this shortcoming by proposing new probabilistic reliability criteria. Such new criteria are anticipated to rely heavily on component failure rate calculations. This paper provides a threat modelling framework, using the Icelandic transmission system as an example, highlighting the need for improved data collection and failure rate modelling. The feasibility of using threat credibility indicators to achieve spatio-temporal failure rates, given minimal data, is explored in a case study of the Icelandic transmission system. The paper closes with a discussion on the assumptions and simplifications that are implicitly made in the formulation, and the additional work required for such an approach to be included in existing practices. Specifically, this paper is concerned only with short term and real-time management of electrical transmission systems.

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The main causes of incidents in the Portuguese Transmission System — Their characterization and how they can be used for risk assessment

Cited by 4 publications

References 0 publications

Impact of external elements on the responsibility area of a Transmission System Operator using the influence factor method

Impact of external elements on the responsibility area of a Transmission System Operator using the influence factor method

Integration of common cause faults in the operational probabilistic approach

Framework for Threat Based Failure Rates in Transmission System Operation

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