scholarly journals Development of Electrical Transient Modeling and Simulation for Electric Distribution Systems

2011 ◽  
Vol 8 ◽  
pp. 128-134
Author(s):  
Banyat Boribun ◽  
Chitchai Srithapon
Keyword(s):  
Modeling And Simulation ◽  
Distribution Systems ◽  
Transient Modeling ◽  
Electric Distribution

New algorithm for reconfiguration and operating procedures in electric distribution systems

2014 ◽  
Vol 57 ◽  
pp. 129-134 ◽  
Author(s):  
Edimar José de Oliveira ◽  
Gustavo José Rosseti ◽  
Leonardo Willer de Oliveira ◽  
Flávio Vanderson Gomes ◽  
Wesley Peres
Keyword(s):  
Distribution Systems ◽  
Electric Distribution

An additional bus inductance-based protection scheme for shipboard DC zonal electric distribution systems

2022 ◽  
Vol 138 ◽  
pp. 107910
Author(s):  
Zhengguang Xiao ◽  
Xiaodong Zheng ◽  
Yangyang He ◽  
Nengling Tai ◽  
Haotian Cheng ◽  
...  
Keyword(s):  
Distribution Systems ◽  
Protection Scheme ◽  
Electric Distribution

Towards a Data Calibrated, Simulation-Based Campus Energy Analysis Environment for Situational Awareness and Future Energy System Planning

2014 ◽  
Author(s):  
Scott Duncan ◽  
Michael Balchanos ◽  
Woongje Sung ◽  
Juhyun Kim ◽  
Yongchang Li ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Visual Analytics ◽  
Distribution Systems ◽  
Situational Awareness ◽  
Energy System ◽  
Integrated Analysis ◽  
Test Bed ◽  
Energy Metering ◽  
Campus Energy ◽  
Analysis Environment

Researchers at Georgia Tech (GT) have recently begun the GT Smart Energy Campus initiative, which combines campus energy metering data with physics-based modeling and simulation to create an integrated analysis environment for campus energy. The environment consists of a digital representation of campus, which supports situational awareness, as well as a virtual test bed for analyzing emerging energy technologies and future scenarios. The first year of the initiative has focused on evaluating campus energy metering data using visual analytics and statistical analysis techniques. Data analysis is presented as having value for two main uses: (1) as attention-directing information to help system operators diagnose anomalies and (2) as a precursor to modeling and simulation (M&S) in future phases of the Smart Energy Campus initiative. The environment is explained using the initial study scoping of the campus thermal energy generation and distribution systems. Furthermore, a modeling and simulation approach leveraging the Modelica M&S language is described, and preliminary results in using it to represent the campus chilled water system are presented.

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