Power system instability and chaos

Yu, Yixin; Jia, Hongjie; Li, Peng; Su, Jifeng

doi:10.1016/s0378-7796(02)00229-8

Cited by 80 publications

(45 citation statements)

References 12 publications

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“…From a systems control perspective, the classical definition about stability is: for small interferences, if the influence on the operation is also small, then the state which is not influenced can be classed as stable; In contrast, for small interferences, if the influence on the operation is great, the state of the operation is labeled unstable [7,8]. Therefore, in systems theory, the stability of a system is mainly referring to the ability of a system to return to the initial state after being interfered with and the ability of a system to resist the outside interferences.…”

Section: Stability Of Semiconductor Modular Production Networkmentioning

confidence: 99%

Game Analysis of Determinants of Stability of Semiconductor Modular Production Networks

Chen

2014

Sustainability

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In today's rapidly changing environment, semiconductor manufacturers compete more in the area of modular production networks. However, the instability of semiconductor modular production networks can to a large extent lead to the failure of these networks. The aim of this paper is to discuss the significance and explore the maintenance of the stability of these semiconductor modular production networks. Firstly, this paper qualitatively and quantitatively defines the stability of semiconductor modular production networks. Based on this, by establishing game models, this paper analyzes the influence mechanism of the main factors: external market fluctuation, the internal benefit allocation mechanism, and opportunism, which can jeopardize the stability of these networks. We find that: the greater the benefits a member enterprise derives from the common benefits, the more likely it is the member enterprise will not exit the modular production network; the adaptive ability of the networks to the external environment is closely related to the stability of the modular production networks; the supervision and punishment in networks can be substituted for each other and the level of supervision, punishment and trust can exert great influence on the stability of semiconductor modular production networks. Lastly, we propose some specific suggestions.

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Section: Stability Of Semiconductor Modular Production Networkmentioning

confidence: 99%

Game Analysis of Determinants of Stability of Semiconductor Modular Production Networks

Chen

2014

Sustainability

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“…In particular, there can be several attracting limit sets each with a different basin of attraction. The initial condition determines in which limit set the system eventually settle [3,9].…”

Section: Steady-state Behavior and Limit Sets Of Nonlinear Systemsmentioning

confidence: 99%

Modeling and simulation of chaotic phenomena in electrical power systems

Lal

2011

Applied Soft Computing

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“…Voltage collapse is characterized by a slow change in the operating point of the system caused by an increase in loads which results in a gradual decrease in voltage magnitudes until a sharp accelerated drop in voltage occurs. Voltage collapse can result in catastrophic blackouts [7][8][9][10][11][12]. Therefore, it is imperative to properly control the power system so that chaos is suppressed and chaotic oscillations are eliminated.…”

Section: Introductionmentioning

confidence: 99%

Control of Chaos in a Single Machine Infinite Bus Power System Using the Discrete Sliding Mode Control Technique

Zribi

Alrifai

Smaoui

2018

Discrete Dynamics in Nature and Society

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Under certain conditions, power systems may exhibit chaotic behaviors which are harmful and undesirable. In this paper, the discrete time sliding mode control technique is used to control a chaotic power system. The objective of the control is to eliminate the chaotic oscillations and to bring order to the power system. Two discrete time sliding mode control (DSMC) schemes are proposed for a fourth order discrete time chaotic power system. The first DSMC control scheme is based on the well-known exponential reaching law. The second DSMC control scheme is based on the recently developed double power reaching law. It is shown that the states of the controlled system converge to their desired values. Simulation results are presented for different values of the gains of the controllers as well as for different initial conditions. These results indicate that both control schemes work well. However, the simulation results show that the second control scheme gave better results since it was able to greatly reduce the chattering problem.

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Power system instability and chaos

Cited by 80 publications

References 12 publications

Game Analysis of Determinants of Stability of Semiconductor Modular Production Networks

Game Analysis of Determinants of Stability of Semiconductor Modular Production Networks

Modeling and simulation of chaotic phenomena in electrical power systems

Control of Chaos in a Single Machine Infinite Bus Power System Using the Discrete Sliding Mode Control Technique

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