A roadmap for developing real time distribution system simulation tools for the smart grid

2008 ◽  
Author(s):  
X. Mamo ◽  
M. McGranaghan ◽  
R. Dugan ◽  
J. Maire ◽  
O. Devaux
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Distribution System ◽  
Time Distribution ◽  
System Simulation ◽  
Simulation Tools

scholarly journals Intelligent Energy Management of Electrical Power Systems

2020 ◽  
Vol 10 (8) ◽  
pp. 2951 ◽  
Author(s):  
Manuela Sechilariu
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Real Time ◽  
Energy Management ◽  
Distribution System ◽  
Power Flow ◽  
Low Voltage ◽  
Electrical Power ◽  
Building Blocks ◽  
Energy System

Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are alternative current (AC) or direct current (DC), high voltage or low voltage, high power or small power, integrated into the distribution system or the transmission network, multi-source systems always require an intelligent energy management that is integrated into the power system. A comprehensive intelligent energy system aims at providing overall energy efficiency with regard to the following: increased power generation flexibility, increased renewable generation systems, improved energy consumption, reduced CO2 emission, improved stability, and minimized energy cost. This Special Issue presents recent key theoretical and practical developments that concern the models, technologies, and flexible solutions to facilitate the following optimal energy and power flow strategies: the techno-economic model for optimal sources dispatching (mono and multi-objective energy optimization), real-time optimal scheduling, and real time optimization with model predictive control.

scholarly journals Detection of Disturbance in Distribution System Using Mathematical Morphology

2019 ◽  
Vol 9 (1S) ◽  
pp. 395-399
Keyword(s):  
Real Time ◽  
Mathematical Morphology ◽  
Distribution System ◽  
Time Distribution ◽  
Distribution Model ◽  
Structural Element ◽  
Nonlinear Loads ◽  
Nonlinear Load ◽  
Linear And Nonlinear ◽  
Disturbance Detection

Detection of disturbances is performed using Mathematical Morphology (MM) technique. A 33kV real time distribution model used to simulate the disturbance such as capacitance switching, load switching and line to ground (L-G) fault for both linear and nonlinear loads. MATLAB/SIMULINK software is used for analysis. A suitable MM filter and Structural Element (SE) is proposed for the disturbance detection. Distinguishing PSD (PSD) Energy and SD (SD) values calculated using Parsevals theorem. The proposed MM filter is very powerful to distinguish PSD due to linear and nonlinear load.

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