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Excitation requirements of three phase self-excited induction generator under single phase loading with minimum unbalance

机译:单相负载下不平衡最小的三相自励感应发电机的励磁要求

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This paper presents an optimization method to determine the excitation requirements of three phase self-excited induction generator under single phase mode of operation. A single phase load is connected to the generator through two excitation capacitors. The values of these capacitors are chosen to ensure minimum self-excitation of the machine in addition to minimization of the unbalance between the stator voltages. The problem is formulated as a multi-dimensional optimization problem. A sequential genetic (GA)/gradient optimizer is used to minimize a cost function of the summation of the equivalent impedance of the generator plus the ratio of the negative to the positive sequence voltages, to obtain the values of the frequency and the excitation reactances. These values are then used to determine the other performance of the machine. A classic gradient solver initialized by a simple GA is used to solve for the unknown parameters in the formulated optimization problem.
机译:本文提出了一种确定单相运行模式下三相自励感应发电机励磁要求的优化方法。单相负载通过两个励磁电容器连接到发电机。选择这些电容器的值,以确保除了最小化定子电压之间的不平衡之外,还可以确保电机的最小自励磁。该问题被公式化为多维优化问题。顺序遗传(GA)/梯度优化器用于最小化发电机等效阻抗加上负序电压与正序电压之比的总和的成本函数,以获得频率和励磁电抗的值。然后将这些值用于确定机器的其他性能。由简单的GA初始化的经典梯度求解器用于求解公式化的优化问题中的未知参数。

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