A TMO Based Real-Time Model: Supporting u-GIS Informative Construction Technology Innovation

2008 ◽  
Author(s):  
MyoungJin Kim ◽  
Hanku Lee ◽  
Muwook Pyeon ◽  
Yangdam Eo ◽  
Dongkeun Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Technology Innovation ◽  
Construction Technology ◽  
Time Model

A message-based real-time model by object-oriented technique

1997 ◽  
Vol 31 (3) ◽  
pp. 45-51
Author(s):  
Jianmin Hou ◽  
Xuandong Li ◽  
Xiaocong Fan ◽  
Guoliang Zheng
Keyword(s):  
Real Time ◽  
Object Oriented ◽  
Time Model

scholarly journals Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1723
Author(s):  
Félix Dubuisson ◽  
Miloud Rezkallah ◽  
Hussein Ibrahim ◽  
Ambrish Chandra
Keyword(s):  
Real Time ◽  
Power Management ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Euler Method ◽  
Small Scale ◽  
Diesel Generator ◽  
Bacterial Foraging Optimization ◽  
Time Model ◽  
Bacterial Foraging

In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references from the non-renewable energy sources and loads of the proposed configuration, which consists of a fixed speed diesel generator and battery storage system (BES). The two-stage configuration is controlled to maintain the DC-link voltage constant, regulate the AC voltage and frequency, and improve the power quality, simultaneously. For these tasks, on the AC side, the obtained power references are used as input signals to the predictive-based control. With the help of the system parameters, the predictive-based control computes all possible states of the system on the next sampling time and compares them with the estimated power references obtained using the bacterial foraging optimization (BFO) technique to get the inverter current reference. For the DC side, the same concept based on the predictive approach is employed to control the DC-DC buck-boost converter by regulating the DC-link voltage using the forward Euler method to generate the discrete-time model to predict in real-time the BES current. The proposed control strategies are evaluated using simulation results obtained with Matlab/Simulink in presence of different types of loads, as well as experimental results obtained with a small-scale microgrid.

HiL-Calibration of SI Engine Cold Start and Warm-Up Using Neural Real-Time Model

2004 ◽  
Author(s):  
Thomas Winsel ◽  
Mohamed Ayeb ◽  
Heinz J. Theuerkauf ◽  
Stefan Pischinger ◽  
Christof Schernus ◽  
...  
Keyword(s):  
Real Time ◽  
Cold Start ◽  
Si Engine ◽  
Time Model ◽  
Warm Up
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