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Selection of stand-alone self-excited induction generator parameters to obtain maximum allowable operating range under unbalanced operations using particle swarm optimization
International Journal of System Assurance Engineering and Management Pub Date : 2020-04-20 , DOI: 10.1007/s13198-020-00983-y
Yatender Chaturvedi , Sumit Kumar

Self-excited induction generators (SEIG) are playing a vital role as useful machines to feed a three-phase load at remote and windy locations where possibility of grid extension is very poor. In isolated mode, the operation of self-excited induction generators under unbalanced load and excitation may results into over voltage and over current in any phase of the machine. In this paper, performance over five different rating machines have been investigated which may be helpful for the selection of best induction machine as SEIG in order to obtain maximum allowable operating range with in the acceptable limits of voltage and current during unbalanced operations. The model as presented has been formulated with a new objective function and its variables containing degree of unbalance, per unit frequency, magnetizing reactance of positive and negative sequence circuits has been solved using particle swarm optimization.

中文翻译:

使用粒子群算法选择独立的自励感应发电机参数以获得不平衡运行下的最大允许运行范围

自激感应发电机(SEIG)作为有用的机器,在偏远和多风的地方提供三相负载,在这些地方电网扩展的可能性非常小,因此起着至关重要的作用。在隔离模式下,自激感应发电机在不平衡负载和励磁下的运行可能会导致电机任何相位的过电压和过电流。在本文中,已经研究了五种不同额定值电机的性能,这可能有助于选择最佳的感应电机作为SEIG,以便在不平衡操作期间以可接受的电压和电流限制获得最大允许工作范围。提出的模型已使用新的目标函数进行了公式化,其变量包含不平衡度,单位频率,
更新日期:2020-04-20
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