scholarly journals Robustness Analysis of Voltage Control Strategies of Smart Transformer

Author(s):  
Federico Cecati ◽  
Markus Andresen ◽  
Rongwu Zhu ◽  
Zhixiang Zou ◽  
Marco Liserre
2019 ◽  
Vol 371 ◽  
pp. 18-26 ◽  
Author(s):  
Amandeep Kaur ◽  
Hitesh C. Boghani ◽  
Edward M. Milner ◽  
Richard L. Kimber ◽  
Iain S. Michie ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2407 ◽  
Author(s):  
Yu Wang ◽  
Yuewu Wang ◽  
Si-Zhe Chen ◽  
Guidong Zhang ◽  
Yun Zhang

The active power filter (APF) is a popular electrical device to eliminate harmonics in power systems. The rational design and effective control of DC-link capacitor voltage are important for implementing APF functions. In this study, the influences from the DC-link voltage on the APF compensating current characteristic and compensation performance are analyzed, and the reason to maintain DC-link voltage at a minimum value is investigated. On this basis, a simplified minimum DC-link voltage control strategy for APF is proposed. Compared with the existing DC-link voltage control strategies, the minimum DC-link voltage value in proposed strategy is only determined by the grid voltage and modulation ratio, reducing the calculation burden and the implementation difficulty in application, avoiding the interference from external parameters on the compensation effect. Additionally, the reference DC-link voltage varies at different values according to the grid voltage and modulation ratio. A shunt APF prototype is established and the experimental results verify the correctness and effectiveness of the analysis and proposed strategy.


DYNA ◽  
2018 ◽  
Vol 85 (207) ◽  
pp. 198-207
Author(s):  
Juan E. Sereno ◽  
Michelle A. Caicedo ◽  
Pablo S. Rivadeneira

This paper examines the performance of two new closed-loop control strategies developed as part of the Artificial Pancreas project, this being the most promising treatment for type 1 diabetes mellitus. The first strategy uses a new version of the well-known proportional, integral and derivative control, developed to respect state and input positivity constraints. The second is a new formulation of model-based predictive control with an impulsive input. The strategies’ performance is evaluated with 50 virtual patients taken from the literature and the UVa/Padova metabolic simulator, approved by the US Food and Drug Administration. Also, a robustness analysis is added to evaluate the strategies under the parametric variations of the most important physiological parameters. The results show that both strategies have a good performance with low to moderate plant-model mismatch.


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