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Model Predictive Control of PWM Rectifier under Unbalanced and Distorted Network Without AC Voltage Sensor

机译:无交流电压传感器在不平衡和扭曲网络下PWM整流器的模型预测控制

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Model predictive control (MPC) has been proposed as an effective method for power control of PWM rectifier. It achieves good steady state performance and quick dynamic response under the condition of balanced and sinusoidal three-phase grid voltages. However, for unbalanced and distorted network, conventional MPC presents highly distorted grid currents if no special measure is taken. Furthermore, the use of grid voltage sensors increases the system cost and reduces the system reliability. This paper proposes a grid-voltage sensorless MPC method for the control of PWM rectifier. It uses the extended reactive power instead of conventional reactive power to cope with the unbalanced grid voltage conditions. Furthermore, the concept of virtual flux is introduced to achieve grid-voltage sensorless operation and can work effectively even under distorted network. Different from prior methods, the estimation of the virtual flux is obtained from a second-order generalized integrator quadrature signal generator (SOGI-QSG) in combination with a cascaded delayed signal cancellation (CDSC) block. As a result, constant active power and extended reactive power as well as sinusoidal grid currents are obtained under unbalanced and distorted network conditions with the absence of grid voltage sensors. The effectiveness of the proposed method is confirmed by the presented experimental results.
机译:模型预测控制(MPC)已提出作为PWM整流器的功率控制的有效方法。它在平衡和正弦三相电流电压条件下实现了良好的稳态性能和快速动态响应。然而,对于网络不平衡和扭曲的网络,如果没有采取特殊措施,传统的MPC呈现出高度扭曲的电流电流。此外,使用电网电压传感器的使用增加了系统成本并降低了系统可靠性。本文提出了一种用于控制PWM整流器的网格压力传感器MPC方法。它使用扩展的无功功率而不是传统的无功功率来应对不平衡的电网电压条件。此外,引入了虚拟通量的概念以实现电网电压无传感器操作,并且即使在扭曲的网络下也可以有效地工作。与现有方法不同,与二阶通用积分器正交信号发生器(Sogi-QSG)与级联的延迟信号消除(CDSC)块组合地获得虚拟通量的估计。结果,在不平衡和扭曲的网络条件下,在不存在电网电压传感器的情况下,在不平衡和扭曲的网络条件下获得恒定的电力和扩展的无功功率以及正弦电流。所提出的方法的有效性由呈现的实验结果证实。

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