Modulated Model Predictive Control with Common Voltage Injection for MMCC-STATCOM Under Unbalanced Load

Xuejiao Pan, Li Zhang, Yongfei Li
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Abstract

This paper presents a novel modulated model predictive control (MMPC) scheme for Modular Multilevel Cascaded Converter-based STATCONs (MMCC-STATCOM) to regulate reactive power flow and compensate unbalanced load current. The method imposes a common mode voltage (CMV) on the three phase-voltages used in the model for predicting the converter phase current. This results in the phase-voltages implemented naturally containing a zero-sequence element with some low-order harmonics. These are effective in rebalancing the phase active power imbalances caused due to MMCC STATCOM compensating unbalanced load currents, hence eliminating drift in the phase cluster voltage. Moreover the harmonics in the imposed CMV reduces the peak converter phase voltage, so extending the range of compensation. Furthermore a modified branch and bound (B&B) algorithm is developed to evaluate the optimal per-phase switch duty ratios for the cost function minimization. The algorithm is computationally efficient compared to Model Predictive Control schemes using switching state selection approach. Simulation results of this method are presented in the paper and compared favorably with the conventional scheme which relies on evaluating and injecting zero sequence voltage at each sample interval.
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不平衡负载下MMCC-STATCOM的共电压注入调制模型预测控制
提出了一种基于模块化多电平级联变换器的statcon (MMCC-STATCOM)的新型调制模型预测控制(MMPC)方案,用于调节无功潮流和补偿不平衡负载电流。该方法对模型中用于预测变换器相电流的三个相电压施加共模电压(CMV)。这导致实现的相电压自然包含带有一些低次谐波的零序元件。这些有效地重新平衡了由于MMCC STATCOM补偿不平衡负载电流而引起的相位有功功率不平衡,从而消除了相位簇电压的漂移。此外,施加的CMV中的谐波降低了变换器的相位电压峰值,从而扩大了补偿范围。在此基础上,提出了一种改进的分支定界(B&B)算法,以求出成本函数最小的最优每相开关占空比。与使用切换状态选择方法的模型预测控制方案相比,该算法具有较高的计算效率。本文给出了该方法的仿真结果,并与依赖于在每个采样区间评估和注入零序电压的传统方案进行了比较。
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