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首页> 外文会议>IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics >Computationally Efficient Model Predictive Direct Power Control with Online Finite Set Model Inductance Estimation Technique for Grid-Connected Photovoltaic Inverters
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Computationally Efficient Model Predictive Direct Power Control with Online Finite Set Model Inductance Estimation Technique for Grid-Connected Photovoltaic Inverters

机译：并网光伏逆变器在线有限集模型电感估计技术的高效计算模型预测直接功率控制

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Model predictive direct power control (MP-DPC) is considered as a convenient control approach for grid-connected inverters, as it eliminates the need for internal control loops and external modulators. In this paper, a computationally efficient MP-DPC scheme is presented, which overcomes the main drawback of the traditional scheme by reducing the calculation burden. Based on the values of the reference and actual power, the reference voltage vector of the inverter can be calculated. By locating this reference voltage vector in the α-β reference frame, only three iterations are required. Hence, the cost function is optimized with a reduced calculation load. The dynamic behavior of the computationally efficient MP-DPC, traditional MP-DPC, and lookup table direct power control (LT-DPC) for grid-connected photovoltaic inverters is compared by simulation results. Furthermore, a novel online inductance estimation technique is proposed to enhance the robustness of the control scheme against any inductance variation.
机译：模型预测直接功率控制（MP-DPC）被认为是并网逆变器的便捷控制方法，因为它不需要内部控制回路和外部调制器。本文提出了一种计算效率高的MP-DPC方案，该方案通过减轻计算负担克服了传统方案的主要缺点。根据参考功率和实际功率的值，可以计算出逆变器的参考电压矢量。通过在α-β参考系中定位此参考电压矢量，仅需要进行3次迭代。因此，以减少的计算负荷来优化成本函数。通过仿真结果比较了具有计算效率的MP-DPC，传统MP-DPC和用于并网光伏逆变器的查找表直接功率控制（LT-DPC）的动态行为。此外，提出了一种新颖的在线电感估计技术，以增强针对任何电感变化的控制方案的鲁棒性。

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