| This paper analyzes the principle, performance and research of Unified Power Flow Controller (UPFC). Besides, it construes the control strategy of UPFC and power electronics converter. Then it establishes the mathematical model of Current Control PWM (CC-PWM) based on switch function. Depended on the principle of voltage space vector pulse width modulation, it deduces a novel PWM predictive current control system with the utilization of the single neuron self-adaptive PID algorithm. Simulation result indicates that the controller has a robust performance. As the predictive control system is sensitive to the circuit parameters which can not be got easily, the paper makes use of an improved back-propagation neural networks to identify the parameters of the PWM circuit. Simulation result shows that it is effective. Afterwards the paper brings forward a mathematical model of UPFC based on switch function. Then it designs a control scheme relying on fuzzy self-adaptive PID control strategy in d and q-axis. Simulation result verifies that it is more effective to use fuzzy self-adaptive PID control strategy than traditional PID. |
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