Conundrum of fault detection in active hybrid AC–DC distribution networks

Conundrum of fault detection in active hybrid AC–DC distribution networks

Fault detection in hybrid AC–DC distribution networks is a challenging problem due to various sources of uncertainty and high degrees of complexity. A few well-known sources that instil uncertainty in the system are stochasticity of energy injected by distributed energy resources, noisy or corrupt d...

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Bibliographic Details
Main Authors: Shahram Negari, David Xu
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:The Journal of Engineering
Subjects:
power distribution faults
belief networks
distributed power generation
distribution networks
bayes methods
probability
inference mechanisms
multi-agent systems
state estimation
fault diagnosis
power distribution control
distributed energy resources
noisy data
corrupt data
automated mapping
equipment connectivity
bayesian belief network
bayesian inference methodology
correlational data
state variables
distributed state estimation
self-aware agents
instil uncertainty
active hybrid ac–dc distribution networks
fault detection
ieee 13-bus network
active hybrid distribution networks
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1059

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1059

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