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Studying impacts of communication system performance on dynamic stability of networked microgrid
by
Marinovici, Laurentiu
, Xie, Jing
, Touhiduzzaman, Md
, Schneider, Kevin P.
, Tuffner, Francis K.
, Fisher, Andrew
, Thekkumparambath Mana, Priya
, Du, Wei
, Bhattarai, Bishnu
in
co-simulate microgrid dynamics
/ Communication channels
/ communication system delays
/ communication systems
/ Communications systems
/ computer network security
/ Control stability
/ Distributed generation
/ distributed power generation
/ dynamic networked microgrid model
/ Dynamic stability
/ Energy storage
/ GridLAB‐D simulation
/ Internet service providers
/ Investigations
/ microgrid control system
/ microgrid, resiliency, co-simulation, helics, power and communication system
/ multichannel communication system model
/ multiprotocol communication system model
/ multitraffic communication system model
/ Performance degradation
/ power system dynamics operations
/ power system operations
/ power system security
/ power system stability
/ POWER TRANSMISSION AND DISTRIBUTION
/ protocols
/ Python
/ Research Article
/ secured communication system
/ Simulation
/ Smart grid
/ smart power grids
/ System dynamics
/ Systems stability
/ telecommunication channels
/ telecommunication traffic
2020
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Studying impacts of communication system performance on dynamic stability of networked microgrid
by
Marinovici, Laurentiu
, Xie, Jing
, Touhiduzzaman, Md
, Schneider, Kevin P.
, Tuffner, Francis K.
, Fisher, Andrew
, Thekkumparambath Mana, Priya
, Du, Wei
, Bhattarai, Bishnu
in
co-simulate microgrid dynamics
/ Communication channels
/ communication system delays
/ communication systems
/ Communications systems
/ computer network security
/ Control stability
/ Distributed generation
/ distributed power generation
/ dynamic networked microgrid model
/ Dynamic stability
/ Energy storage
/ GridLAB‐D simulation
/ Internet service providers
/ Investigations
/ microgrid control system
/ microgrid, resiliency, co-simulation, helics, power and communication system
/ multichannel communication system model
/ multiprotocol communication system model
/ multitraffic communication system model
/ Performance degradation
/ power system dynamics operations
/ power system operations
/ power system security
/ power system stability
/ POWER TRANSMISSION AND DISTRIBUTION
/ protocols
/ Python
/ Research Article
/ secured communication system
/ Simulation
/ Smart grid
/ smart power grids
/ System dynamics
/ Systems stability
/ telecommunication channels
/ telecommunication traffic
2020
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Studying impacts of communication system performance on dynamic stability of networked microgrid
by
Marinovici, Laurentiu
, Xie, Jing
, Touhiduzzaman, Md
, Schneider, Kevin P.
, Tuffner, Francis K.
, Fisher, Andrew
, Thekkumparambath Mana, Priya
, Du, Wei
, Bhattarai, Bishnu
in
co-simulate microgrid dynamics
/ Communication channels
/ communication system delays
/ communication systems
/ Communications systems
/ computer network security
/ Control stability
/ Distributed generation
/ distributed power generation
/ dynamic networked microgrid model
/ Dynamic stability
/ Energy storage
/ GridLAB‐D simulation
/ Internet service providers
/ Investigations
/ microgrid control system
/ microgrid, resiliency, co-simulation, helics, power and communication system
/ multichannel communication system model
/ multiprotocol communication system model
/ multitraffic communication system model
/ Performance degradation
/ power system dynamics operations
/ power system operations
/ power system security
/ power system stability
/ POWER TRANSMISSION AND DISTRIBUTION
/ protocols
/ Python
/ Research Article
/ secured communication system
/ Simulation
/ Smart grid
/ smart power grids
/ System dynamics
/ Systems stability
/ telecommunication channels
/ telecommunication traffic
2020
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Studying impacts of communication system performance on dynamic stability of networked microgrid
Journal Article
Studying impacts of communication system performance on dynamic stability of networked microgrid
2020
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Overview
The development of smart grid technologies has resulted in increased interdependence between power and communication systems. Many of the operations in the existing power system rely on a stable and secured communication system. For electrically weak systems and time-critical applications, this reliance can be even greater, where a small degradation in communication performance can degrade system stability. However, despite inter-dependencies between power and communication systems, only a few studies have investigated the impacts of communication system performance on power system dynamics. This study investigates the dependencies of power system dynamics operations on a communication system performance. First, a detailed, dynamic networked microgrid model is developed in the GridLAB-D simulation environment, along with a representative multi-traffic, multi-channel, multi-protocol communication system model, developed in the network simulator (ns-3). Second, a hierarchical engine for large-scale infrastructure co-simulation framework is developed to co-simulate microgrid dynamics, its communication system, and a microgrid control system. The impact of communication system delays on the dynamic stability of networked microgrids is evaluated for the loss of generation using three use-cases. While the example use-cases examine microgrid applications and the impact to resiliency, the framework can be applied to all levels of power system operations.
Publisher
The Institution of Engineering and Technology,John Wiley & Sons, Inc,Wiley
Subject
co-simulate microgrid dynamics
/ distributed power generation
/ dynamic networked microgrid model
/ microgrid, resiliency, co-simulation, helics, power and communication system
/ multichannel communication system model
/ multiprotocol communication system model
/ multitraffic communication system model
/ power system dynamics operations
/ POWER TRANSMISSION AND DISTRIBUTION
/ Python
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