Uncertainty Modeling and Stochastic Control Design for Smart Grid with Distributed Renewables

2012 ◽  
Author(s):  
Ding Li ◽  
Sudharman K. Jayaweera ◽  
Chaouki T. Abdallah
Keyword(s):  
Smart Grid ◽  
Stochastic Control ◽  
Control Design ◽  
Uncertainty Modeling

scholarly journals Stochastic Control-Oriented Modeling of Flexible Air-Breathing Hypersonic Vehicle

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Yan-rui Wu ◽  
Peng-fei Yang ◽  
You-li Wu
Keyword(s):  
Stochastic Control ◽  
Colored Noise ◽  
Control Design ◽  
Original System ◽  
Hypersonic Vehicle ◽  
Vehicle Model ◽  
Feedback Form ◽  
Stochastic Perturbations ◽  
Air Breathing ◽  
Generalized Force

The flexible dynamics of commonly used air-breathing hypersonic vehicle model are not tractable for control design and the inevitable stochastic perturbations are usually neglected. Aiming at these deficiencies, reduced flexible dynamics are deducted in this paper and a stochastic control-oriented vehicle model is established accordingly. The responses of the original system to the deterministic and the stochastic part of the generalized force, which is treated as the input of the flexible dynamic system, are analyzed. After that, the simplified flexible dynamics is deduced to approximate the responses. The reduced flexible dynamics, which are tractable for control design since they greatly reduce the complexity of the original dynamics, are comprised of a simple function of the determined generalized force and an Ornstein-Uhlenbeck colored noise. Finally, the longitudinal dynamics in parametric strict feedback form are obtained by substituting the reduced flexible dynamics into the original model. The applicability of the simplified flexible dynamics is validated through the numerical simulations.

Stochastic Control for Smart Grid Users With Flexible Demand

2013 ◽  
Vol 4 (4) ◽  
pp. 2296-2308 ◽  
Author(s):  
Yong Liang ◽  
Long He ◽  
Xinyu Cao ◽  
Zuo-Jun Shen
Keyword(s):  
Smart Grid ◽  
Stochastic Control

scholarly journals Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

2021 ◽  
Vol 12 (4) ◽  
pp. 2182
Author(s):  
Khamda Herbandono ◽  
Cuk Supriyadi Ali Nandar
Keyword(s):  
Robust Control ◽  
Smart Grid ◽  
Power System ◽  
High Reliability ◽  
Control Design ◽  
Adaptive Robust Control ◽  
System Stability ◽  
Identification System ◽  
Wind Characteristics ◽  
Robust Control Design

<span lang="EN-US">This paper is interested to study power system stability in smart grid power system using wind characteristic in south of Yogyakarta, Indonesia. To overcome the intermittent of wind characteristics, this paper presents adaptive robust control design to enhance power system stabilization. The online identification system is used in this research, which updated whenever the estimated model mismatch exceeds predetermined bounds. Then genetic algorithm (GA) is applied to re-tune parameters controller based on the estimated model. The structure of controller is proportional integral (PI) controller due to the most applicable in industry, simple structure, low cost and high reliability. Robustness of controller is guaranteed by taking system uncertainties into consideration. The performance of the proposed controller has been carried out in a hybrid wind-diesel power system in comparison with previous work controller. Simulation results confirm that damping effect of the proposed controllers are much better that of the conventional controllers against various operating.</span>

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