scholarly journals Fast Synergetic Control for Chaotic Oscillation in the Power System Based on Input-Output Feedback Linearization

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ling Liu ◽  
Jiangbin Wang ◽  
Chongxin Liu

This paper presents a fast synergetic control scheme for chaotic oscillation in a three-bus power system model. First, the coupling dynamic model of a controlled power system with the current source converter-based STATCOM device and energy storage device is established. Then, the input-output linearization process for the controlled power system is derived step by step, the control problem for the complex nonlinear power system model is completely transformed into the control of linear systems, and a fast synergetic control scheme is proposed for these linear systems. Since the designed control inputs contain complex system functions which are very difficult to obtain and reduce the engineering practicability of the designed controllers, the assumption that system functions are bounded is introduced into the controller design process, and the controllers are redesigned. The remarkable advantages of the proposed control method are that it improves the rapidity of traditional synergetic control and avoids complex system functions in control inputs. Finally, the effectiveness and the superiority of the control scheme are verified by simulation results.

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.


2020 ◽  
Vol 26 (9-10) ◽  
pp. 790-800
Author(s):  
Jiangbin Wang ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Ziwei Zhu ◽  
Yan Wang

In view that researchers only control some low-dimensional chaotic power system models, this paper aims at controlling chaos in a complex six-dimensional power system model. By introducing the dynamic model of an energy storage device and static synchronous compensator, an adaptive synergetic control scheme is proposed for the model to suppress its chaotic oscillation. Since the designed controller will inevitably contain complex derivative terms of a controlled power system according to the conventional controller design process, a novel adaptive synergetic control scheme is proposed. The presented adaptive controller for the chaotic power system can completely suppress its chaotic oscillation. The prominent advantages of the proposed control scheme are that it can avoid complex derivative terms of the controlled system and can avoid chattering as in the sliding mode control method. Simulations validate the effectiveness and robustness of the proposed scheme.


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