| This dissertation is focused on the research of Advanced Static Var Generator (ASVG) based on the Insulated Gate Bipolar Transistor (IGBT), which includes the structure, principle, control and development of ASVGThe dissertation analyzes the working principle of ASVG briefly and summarizes the working performance of ASVG. Comparing with traditional reactive power compensation equipments, ASVG has the advantages of faster regulation speed and higher control accuracy. In the field of improving transient stability and damping of power systems, the performance of ASVG is better than that of synchronous regulating phase motor and SVC. On this foundation, the dissertation establishes the ASVG mathematics model of main circuit for the simulation and the control of ASVG.The control method for ASVG which adopts double close loop structure is studied. The inner controller based on variable structure neural network fuzzy control is proposed. Therefore, fuzzy rule is more accurate and more appropriate by adopting automatic generation of fuzzy rule, and the self-study ability and self-adaptive ability of fuzzy rule are enhanced by applying algorithms of variable structure neural network to the adjustment of fuzzy mle. Simulation analysis results show that the ASVG control system can raise the integral performance of controller and strengthen the control for power system stability.On the foundation of theoretical research, the author gives a development scheme of ASVG based on IGBT. The experimental results show that the ASVG equipment can dynamically track the change of the system reactive power, rapidly realize the system reactive power balance and voltage adjustment, and the structure of main circuit is simple, the harmonic inputting to power system is little, and can improve the three-phase unbalance of power system.The experimental results show that comparing with traditional reactive power compensation equipments, ASVG has more advantagesand more extensive application prospect. |
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