Value of Security: Modeling Time-Dependent Phenomena and Weather Conditions
By M. Rios, Daniel S. Kirschen, D. Jayaweera, Dusko P. Nedic, R. Allan. IEEE Power Engineering Review, 2002
259 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/b855114f45bf0cc237e1558208d7bce4e140e34a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Pierluigi Mancarella
- Mathaios Panteli
- Ian Dobson
- Benjamin A. Carreras
- David E. Newman
- Vickie E. Lynch
- Daniel S. Kirschen
- Narayan Bhusal
In Safety, Risk, Reliability and Quality
- Mathaios Panteli
- Pierluigi Mancarella
- Benjamin A. Carreras
- Ian Dobson
- Vickie E. Lynch
- Daniel S. Kirschen
- Dusko P. Nedic
- David E. Newman
Citations in the corpus
- Criticality in a cascading failure blackout model (2006, methodology): “The Manchester model used in this paper was designed to provide a realistic representation of the behavior of a power system when subjected to disturbances [14, 12].”
- A LOADING-DEPENDENT MODEL OF PROBABILISTIC CASCADING FAILURE (2005, background): “…and its normalization+ Section 4 derives the saturating quasibinomial distribution of the number of failures and shows how the saturation generalizes the quasibinomial distribution and extends its parameter range+ Section 5 illustrates the use of the model in studying the effect of system loading+”
- A probabilistic indicator of system stress (2004, methodology): “In particular, the following features have been modeled [9], [10].”
- Evidence for self-organized criticality in a time series of electric power system blackouts (2004, background): “[17] and in modeling blackouts and cascading failure from other perspectives [14]–[16], [18]–[20], [27], [29]–[31], [34].”
- Modeling and Evaluating the Resilience of Critical Electrical Power Infrastructure to Extreme Weather Events (2017, methodology): “Monte Carlo simulations (MCS) is used in [15], [43], and [44].”
- Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies (2015, background): “[47] to evaluate the impact of time-dependent phenomena and weather conditions on the computation of value of security (VaS) in power systems.”