scholarly journals Design Optimization of Modern Machine-drive Systems for Maximum Fault Tolerant and Optimal Operation

2012 ◽  
Author(s):  
Ali Sarikhani
2018 ◽  
Vol 54 (2) ◽  
pp. 1349-1359 ◽  
Author(s):  
Bo Wang ◽  
Jiabin Wang ◽  
Bhaskar Sen ◽  
Antonio Griffo ◽  
Zhigang Sun ◽  
...  

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 151
Author(s):  
Wenying Jiang ◽  
Qiqi Guo ◽  
Zhen Zhang

In order to accurately evaluate the performance of a traction machine/drive system, it is necessary to have an accurate excitation source which considers current harmonics. In this paper, four machine/drive systems with different excitation sources have been modeled, simulated, and studied to evaluate the effects on permanent magnet synchronous machines (PMSMs) from different perspectives. In Model I, the excitation is an ideal sinusoidal current source with no harmonics. Model II is excited by an ideal sinusoidal voltage source regardless of the pulse width modification’s (PWM’s) influence. Model III takes into account the influence of current harmonics under space vector pulse width modulation (SVPWM) control. Model IV is based on the equivalent circuit extraction (ECE) model (a look-up table motor model). We simulate these four models and study the characteristics of the excitation sources, based on the observations of current harmonics, torque, electromagnetic force, computation time, and efficiency. Experiments are also conducted to show that Model III allows the most precise study of the considered system. Model IV is a good substitution, providing similar results with a shorter running time.


Author(s):  
Francisco J. Contreras ◽  
David A. Romero ◽  
Cristina H. Amon

Recently, there has been increased interest in designing stand-alone Hybrid Renewable Energy Systems (HRES) for remote communities. Several methodologies have been proposed to tackle the design optimization problem, to develop strategies for optimal operation/dispatch, or to address both problems concurrently. So far, however, these methods have been developed only for specific communities or system configurations (e.g., wind-diesel; PV-diesel). In this study, we propose a multilevel design optimization method that considers both optimal component selection and dispatch strategy that can be applied to any community regardless of the available renewable resources, thus overcoming the limitations of previous studies. The new approach considers a wide range of renewable and non-renewable energy technologies, a database of commercially available components, and leverages state-of-the-art methods for solving each optimization subproblem. The novel algorithm was evaluated with a set of meteorological conditions that emulate different remote communities. In addition, two pricing scenarios for diesel are studied to explore how the HRES design is influenced by this parameter.


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