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首页> 外文期刊>IEEE Transactions on Industry Applications >Flatness-Based Grey Wolf Control for Load Voltage Unbalance Mitigation in Three-Phase Four-Leg Voltage Source Inverters
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Flatness-Based Grey Wolf Control for Load Voltage Unbalance Mitigation in Three-Phase Four-Leg Voltage Source Inverters

机译：基于平面度的灰狼控制，用于减轻三相四支柱电压源逆变器的负载电压不平衡

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摘要

Standalone power-supply systems become a key solution to effectively address the load demand in remote locations, wherein the voltage asymmetry raises as a particular concern in view of a large number of single-phase household and communities loads. Over these loading conditions, the use of the four-leg voltage source inverters (FL-VSIs) appears as a suitable topology to provide clean power with symmetrical voltage waveforms. The reported work employs the differential flatness theory associated with grey wolf optimization in order to guarantee proper operations of the FL-VSIs in different loading conditions. In fact, the differential flatness theory is applied to check the flatness of the FL-VSIs, which allows implementing a reduced control model. Then, a grey wolf algorithm, which acts as a tracking controller [grey wolf controller (GWC)], is developed. The GWC generates an optimal control signal used by the differentially flat model so as to ensure adequate control performance, even under severe load disturbances and model inaccuracies. A comprehensive experimental test is carried out to validate the effectiveness of the proposed flatness-based grey wolf controller.
机译：独立电源系统成为有效解决偏远地区负载需求的关键解决方案，其中考虑到大量单相家庭和社区负载，电压不对称特别引起关注。在这些负载条件下，使用四脚电压源逆变器（FL-VSI）似乎是一种合适的拓扑结构，可提供具有对称电压波形的清洁电源。报告的工作采用与灰太狼优化相关的差分平坦度理论，以确保FL-VSI在不同负载条件下的正常运行。实际上，差分平坦度理论被应用于检查FL-VSI的平坦度，从而可以实现简化的控制模型。然后，开发了作为跟踪控制器[灰狼控制器（GWC）]的灰狼算法。 GWC生成差分平面模型使用的最佳控制信号，以确保即使在严重的负载扰动和模型不准确的情况下也能提供足够的控制性能。进行了全面的实验测试，以验证所提出的基于平坦度的灰太狼控制器的有效性。

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