2018
DOI: 10.1002/asjc.1826
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Bifurcation, Chaos and its Control in A Fractional Order Power System Model with Uncertainties

Abstract: The paper investigates the complex nonlinear behavior of a fractional order four dimension power system (FOFDPS). The discrete mathematical model of the FOFDPS is derived and presented. The equilibrium points along with the Eigen values of commensurate and incommensurate FOFDPS are presented. The existence of chaotic oscillations are supported by a positive Lyapunov exponent. Bifurcation plots are derived for both parameters and fractional orders to show the impact of the same on the dynamic behavior of FOFDPS… Show more

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Cited by 34 publications
(20 citation statements)
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“…For a long time, the fractional calculus has been maintained a slow development state due to the lack of practical background and technical means. Recently, fractional calculus has been found to be widely applied in numerous areas such as chemical engineering, viscoelasticity, biomedical Science, robotics, physics, mechanics and control science and so on [17][18][19][20][21] . Moreover, fractional-order differential equations can better describe the real objective phenomena than integer-order differential equations since they possess memory and hereditary natures of different materials and processes.…”
Section: Dynamics For a Fractional-order Predator-prey Model With Gromentioning
confidence: 99%
“…For a long time, the fractional calculus has been maintained a slow development state due to the lack of practical background and technical means. Recently, fractional calculus has been found to be widely applied in numerous areas such as chemical engineering, viscoelasticity, biomedical Science, robotics, physics, mechanics and control science and so on [17][18][19][20][21] . Moreover, fractional-order differential equations can better describe the real objective phenomena than integer-order differential equations since they possess memory and hereditary natures of different materials and processes.…”
Section: Dynamics For a Fractional-order Predator-prey Model With Gromentioning
confidence: 99%
“…Some scholars have also designed chaos controllers for a classical four-dimensional power system model. At present, the main control methods proposed for the model include finite-time feedback control [14], finite-time integral sliding mode control [15], finite-time passive control [16], chattering-free time scale separation sliding mode control [17], fixed-time integral sliding mode control [18], feedback linearization based sliding mode control [19], discrete time sliding mode control [20], fractional order sliding mode control [21], fast fixed-time nonsingular terminal sliding mode control [22], and fixed-time dynamic surface highorder sliding mode control [23]. However, it is worth noting that most of these controllers are abstract control inputs without considering realizability of the controller and there are also too many control inputs (see [14][15][16][17][18][19][20][21]), which make the proposed control methods impractical.…”
Section: Introductionmentioning
confidence: 99%
“…Since the work of Lorenz [1], the research community has been interested in the study of chaotic systems due to they possess interesting structural properties, which make them profitable for understanding advanced phenomena related to physical and engineering processes, and other applied sciences, [2, 3]. The solutions of chaotic systems offer insightful properties for their application in secure communication since their quasi‐random and non‐periodic (unstable) but bounded behaviour.…”
Section: Introductionmentioning
confidence: 99%