scholarly journals A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems

2021 ◽  
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Seyedmohsen Hosseini ◽  
Mohammad Marufuzzaman ◽  
Randy Buchanan
Keyword(s):  
Bayesian Network ◽  
Electrical Power ◽  
Power Source ◽  
Electrical Power System ◽  
Infrastructure Systems ◽  
Different Types ◽  
Infrastructure System ◽  
System Resilience ◽  
Backward Propagation

This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.

A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system

2019 ◽  
Vol 25 ◽  
pp. 62-83 ◽  
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Seyedmohsen Hosseini ◽  
Mohammad Marufuzzaman ◽  
Randy K. Buchanan
Keyword(s):  
Bayesian Network ◽  
Infrastructure System ◽  
System Resilience

scholarly journals A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4667 ◽  
Author(s):  
Adriana Mar ◽  
Pedro Pereira ◽  
João F. Martins
Keyword(s):  
Power Systems ◽  
Power Grid ◽  
Electrical Power ◽  
Power Grids ◽  
Electrical Power System ◽  
Electrical Power Systems ◽  
Different Types ◽  
System Resilience ◽  
Types Of Faults ◽  
Power System Resilience

One of the most critical infrastructures in the world is electrical power grids (EPGs). New threats affecting EPGs, and their different consequences, are analyzed in this survey along with different approaches that can be taken to prevent or minimize those consequences, thus improving EPG resilience. The necessity for electrical power systems to become resilient to such events is becoming compelling; indeed, it is important to understand the origins and consequences of faults. This survey provides an analysis of different types of faults and their respective causes, showing which ones are more reported in the literature. As a result of the analysis performed, it was possible to identify four clusters concerning mitigation approaches, as well as to correlate them with the four different states of the electrical power system resilience curve.

An Intelligent Hybrid Model for Bus Load Forecasting in Electrical Short-Term Operation Tasks

2012 ◽  
pp. 540-562
Author(s):  
Ricardo Menezes Salgado ◽  
Takaaki Ohishi ◽  
Rosangela Ballini
Keyword(s):  
Power System ◽  
Hybrid Model ◽  
Electrical Power ◽  
Load Forecasting ◽  
Electrical Power System ◽  
Term Operation ◽  
Operating Load ◽  
Conventional Models ◽  
Safe Operating

The main objective of this chapter is to present a hybrid model for bus load forecasting. This approach represents an essential tool for the operation of the electrical power system and the hybrid model combines a bus clustering process and a load forecasting model. As a case study, the model was applied to the real Brazilian electrical system, and the results revealed a performance similar to that of conventional models for bus load forecasting, but about 14 times faster. The results are compatible with the safe operating load levels for the Brazilian electrical power system and have proved to be adequate for use in real operation tasks.

scholarly journals Class D Power Amplifier Used In Programmable Ac Power Source Ideal To Analyse Electronic Equipment Performance In The Electrical Power System Quality

2009 ◽  
Vol 14 (1) ◽  
pp. 9-16
Author(s):  
Fábio Vincenzi Romualdo da Silva ◽  
João Batista Vieira Júnior ◽  
Ernane Antônio Alves Coelho ◽  
Valdeir José Farias ◽  
Luiz Carlos de Freitas
Keyword(s):  
Power System ◽  
Power Amplifier ◽  
Electrical Power ◽  
Power Source ◽  
Electronic Equipment ◽  
System Quality ◽  
Electrical Power System ◽  
Class D ◽  
Ac Power ◽  
Equipment Performance

scholarly journals Comparasion of Different Configuration of Hybrid Electrical Power System – A Case Study of a Site in Peshawar

2020 ◽  
Vol 7 (08) ◽  
pp. 268-273
Author(s):  
Raheemullah Khan ◽  
◽  
Jehan Parvez ◽  
Abdur Rehman ◽  
Muhammad Ibrahim ◽  
...  
Keyword(s):  
Power System ◽  
Electrical Power ◽  
Electrical Power System ◽  
System A ◽  
A Site

scholarly journals Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study

2010 ◽  
Vol 40 (5) ◽  
pp. 874-885 ◽  
Author(s):  
Ole J. Mengshoel ◽  
Mark Chavira ◽  
Keith Cascio ◽  
Scott Poll ◽  
Adnan Darwiche ◽  
...  
Keyword(s):  
Power System ◽  
Probabilistic Model ◽  
Electrical Power ◽  
Electrical Power System ◽  
Model Based

scholarly journals Resiliency analysis for complex engineered system design

2015 ◽  
Vol 29 (1) ◽  
pp. 93-108 ◽  
Author(s):  
Hoda Mehrpouyan ◽  
Brandon Haley ◽  
Andy Dong ◽  
Irem Y. Tumer ◽  
Christopher Hoyle
Keyword(s):  
Electrical Power ◽  
Nonlinear Dynamical System ◽  
Operating Environment ◽  
Electrical Power System ◽  
Nonlinear Dynamical ◽  
Complex Engineered Systems ◽  
Failure Propagation ◽  
Engineered Systems ◽  
Mean Time

AbstractResilience is a key driver in the design of systems that must operate in an uncertain operating environment, and it is a key metric to assess the capacity for systems to perform within the specified performance envelop despite disturbances to their operating environment. This paper describes a graph spectral approach to calculate the resilience of complex engineered systems. The resilience of the design architecture of complex engineered systems is deduced from graph spectra. This is calculated from adjacency matrix representations of the physical connections between components in complex engineered systems. Furthermore, we propose a new method to identify the most vulnerable components in the design and design architectures that are robust to transmission of failures. Nonlinear dynamical system and epidemic spreading models are used to compare the failure propagation mean time transformation. Using these metrics, we present a case study based on the Advanced Diagnostics and Prognostics Testbed, which is an electrical power system developed at NASA Ames as a subsystem for the ramp system of an infantry fighting vehicle.

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