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Harmonic analysis of hybrid renewable microgrids comprising optimal design of passive filters and uncertainties

机译：混合可再生微电网的谐波分析，包括无源滤波器的优化设计和不确定性

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摘要

In this paper, the applications of passive filters in grid-connected and isolated hybrid renewable microgrid are addressed. The single-tuned filters are engaged to reduce the total harmonic distortion (THD) at the point of common connection with keeping total demand distortions below the maximum allowable limits. The total cost of proposed passive filters along with THD define the adapted bi-objectives to be minimized simultaneously provided that set of operating inequality constraints are satisfied. A multi-objective grasshopper optimization algorithm (MOGOA) is applied in this regard. The best answers are picked up carefully among the Pareto solutions by technique for order of preference by similarity to ideal solution (TOPSIS) procedures. Harmonic analysis is performed to examine the critical frequencies in many instants before and after installing passive filters. The effects of harmonics on the motor and wind generator torques are analysed and discussed. In addition, the system power factor is improved. Various scenarios regarding the operations of the grid under study are investigated comprising uncertainties of renewable power sources. The reductions in torque ripples of induction motor and wind turbine generator are indicated. It can be emphasized that the cropped results of filter’s cost along with THD generated by MOGOA are very competitive and convincing when they are compared to the results of the well-structure multi-objective genetic algorithm.
机译：本文探讨了无源滤波器在并网和隔离式混合可再生微电网中的应用。启用单调谐滤波器以减少公共连接点的总谐波失真（THD），同时将总需求失真保持在最大允许限值以下。提出的无源滤波器的总成本与THD一起定义了要同时最小化的自适应双目标，前提是要满足一组运行不平等约束。在这方面，应用了多目标蚱hopper优化算法（MOGOA）。在帕累托解决方案中，最好的答案是通过技巧按与理想解决方案（TOPSIS）相似的优先顺序仔细挑选的。在安装无源滤波器之前和之后的许多瞬间，都要进行谐波分析以检查临界频率。分析并讨论了谐波对电动机和风力发电机转矩的影响。另外，改善了系统功率因数。研究了与正在研究的电网有关的各种情况，包括可再生能源的不确定性。指出了感应电动机和风力涡轮发电机的转矩脉动的减小。可以强调的是，与良好结构的多目标遗传算法的结果相比，MOGOA生成的滤波器成本和THD的裁剪结果具有很强的竞争力和说服力。

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