Modeling of Distributed Generators Resilience Considering Lifeline Dependencies During Extreme Events
Vaidyanathan Krishnamurthy1, Alexis Kwasinski1
1Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
Abstract:
This article derives distributed generators resilience models considering lifeline dependencies during extreme events. The effects on power resilience of storage capacity, fuel delays, and fuel order placements are analyzed. Results indicate that storage capacity has an important role in improving overall power supply resilience as seen by loads. In addition, the presented models provide a quantifiable approach in evaluating fuel delivery resilience. The models facilitate studying fuel scheduling policies and local fuel storage sizing for specified resilience requirements. It is observed that tank autonomy greatly affects the flexibility in employing scheduling policies supplying fuel to generators. Resilience dependence on buffer autonomy is high during the first few days of extreme events, and this could have considerable effects on managing evacuations and rescue operations.
More Related Videos
Related Concept Videos
Absolute and Local Extreme Values
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Drug Distribution: Volume of Distribution
Integration of Synaptic Events
Frequency-dependent Selection
F Distribution


