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Steady-state Modeling and Analysis of Six-phase Self-excited Induction Generator for Renewable Energy Generation

机译:可再生能源的六相自励感应发电机的稳态建模与分析

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摘要

This article presents the steady-state modeling and analysis of a six-phase self-excited induction generator for stand-alone renewable generation. The basis of the analysis is the nodal admittance method based on graph theory as applied to the equivalent circuit. The proposed steady-state generalized model of a six-phase self-excited induction generator dispenses with the tedious work of segregating real and imaginary components of the complex impedance of the induction generator for deriving the specific models for each operating mode. Graph theory based matrix equations are easier to modify in order to account for specific effects such as uncompensatedand compensated operation. The resulting equations have excellent symmetry, which makes the analysis very easy, fast, and accurate. The matrix equations developed by the nodal admittance method are solved by a genetic algorithm to determine the steady-state performance of a six-phase self-excited induction generator. The analytical results are found to be in good agreement with experimental results.
机译:本文介绍了用于独立可再生发电的六相自励感应发电机的稳态建模和分析。分析的基础是应用于等效电路的基于图论的节点导纳方法。所提出的六相自励感应发电机的稳态广义模型省去了繁琐的工作,即分离感应发电机复阻抗的实部和虚部,以得出每种工作模式的特定模型。基于图论的矩阵方程式更易于修改,以解决诸如未补偿和补偿运算等特定影响。所得方程具有出色的对称性,这使分析变得非常容易,快速和准确。用遗传算法求解由节点导纳方法建立的矩阵方程,以确定六相自励感应发电机的稳态性能。分析结果与实验结果非常吻合。

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