Fixed Time Robust Control Design for Partial Linearize Power System Model

Author(s):  
Vivek Kumar ◽  
Soumya R. Mohanty
2019 ◽  
Vol 29 (10) ◽  
pp. 1950130 ◽  
Author(s):  
Jiangbin Wang ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Jian Liu

Differing from the existing literature that only focus on controlling some simple chaotic power system models, this paper aims to control chaotic oscillations in complex seven-dimensional power system model. First, based on fixed-time stability theory, a novel fixed-time synergetic controller is proposed to make its macro variable enter into an invariant manifold within a fixed-time upper bound by a constant, depending only on control parameters that can be changed by the designer and calculated theoretically. The presented controller can eliminate chattering and achieve exact convergence of the macro variable. Then, the proposed control method is applied to suppress chaos in the seven-dimensional power system model. Based on the important idea that chaotic oscillation in a power system is caused by its excess energy, a model of energy storage device controller is employed in the controller design process to absorb active power from the entire controlled system. Finally, several simulation examples are given to confirm the effectiveness, the superiority and the robustness of the proposed control scheme. Compared with the existing literature, a relatively general method of suppressing chaotic oscillations in power systems is developed.


Author(s):  
Khamda Herbandono ◽  
Cuk Supriyadi Ali Nandar

<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>


2006 ◽  
Vol 39 (7) ◽  
pp. 285-290
Author(s):  
Hiroyuku Ukai ◽  
Goh Toyosaki ◽  
Yoshiki Nakachi ◽  
Surech Chand Verma

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