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Research on Oranically-Structured of Expanding Large Scale Systems Based on Parameter Optimization

Author: XuYanYing
Tutor: LiXiaoHua
School: Liaoning University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: expanding construction system organically structure control dynamic output feedback Genetic Algorithm interconnected power system
CLC: TP273
Type: Master's thesis
Year: 2012
Downloads: 3
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Abstract


Along with the development of modern science and technology for the development of engineering application,large complicated system control problem has caused the attention of scholars both at home and abroad. Organically-structured control problem for interconnected large-scale systems with expanding construction is studied in this paper, which based on dynamic output feedback. And this method is applied in the automatic generation control (AGC) of the interconnected power systems. There are two parts are studied in this paper.The problem that based on dynamic output feedback for interconnected large-scale systems with expanding construction is studied in the first part, which in the condition of optimizing organically- structured control parameters using genetic algorithm. First, the design method of the dynamic output feedback controller of the large-scale systems with expanding construction is introduced; And then the genetic algorithm is adopted to optimize the interconnection constraint matrix, which involved in the solving process of the controller, in order to improve the control capability of the system. Finally, the simulation research is done for presented method, and the simulation results show that the method is effective.The application of the Organically Structured Control (OSC) method based on the dynamic output feedback control in AGC of power systems is researched in the second part. First, the mathematical model of multi-area interconnected power systems is introduced; Then, to take the interconnected power system with two areas for an example, the OSC method of the interconnected power system with expanding construction is studied. The genetic algorithm is adopted to optimize the interconnection constraint matrix, in order to improve the control capability of the system. The research results show that the method can not only guarantee the normal work of power system AGC but also make the system have better control performances.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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