互聯(lián)雙機(jī)電力系統(tǒng)的混沌振蕩分析及其抑制方法研究
[Abstract]:Chaotic oscillation is a very complex phenomenon caused by the interaction of various parameters in nonlinear system. Power system is a typical nonlinear system. Chaotic oscillations will occur under the load of periodic disturbances or when the system parameters meet certain conditions. This kind of continuous and irregular oscillation may lead to the instability of the system and seriously endanger the safe operation of the system. Therefore, it is of fundamental significance and application value to analyze the mechanism and suppression strategy of chaotic oscillation in power system. Firstly, the mechanism characteristics and parameter conditions of chaotic oscillation in interconnected two-machine power system are analyzed and summarized in this paper. Secondly, the hyperbolic sliding mode controller with hyperbolic switching term is designed for the chaotic system, and the stability and convergence accuracy of the controller are analyzed and proved theoretically. Thirdly, based on the fractional order control theory, a fractional hyperbolic sliding mode controller is designed, and the theoretical stability of the controller is verified. Finally, the simulation experiments of interconnected two-machine power system with chaotic oscillation are carried out under the action of two kinds of controllers. The simulation results show that compared with the discontinuous switching term in the traditional sliding mode control, the continuous smooth hyperbolic switching term in the hyperbolic sliding mode controller can soften the output of the sliding mode controller and improve the "buffeting" phenomenon in the traditional sliding mode variable structure control. Through the design of fractional sliding mode surface and fractional hyperbolic switching term, the output stability of controller can be further improved and the system approach to sliding mode surface can be accelerated.
【學(xué)位授予單位】:西安理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TM712
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