In this study, the ultra-high-frequency (UHF) antenna for partial discharge (PD) detection is optimised to simultaneously satisfy the requirements of low return loss and high fidelity factor (FF) in the frequency band of interest by using the modified non-dominated sorting genetic algorithm II (MNSGA-II). Based on the labour division strategy, the MNSGA-II adopts an adaptive crossover and mutation possibilities instead of the fixed ones, resulting in the significant improvement of convergence rate and exploration ability. One of the Pareto-optimal solutions is presented as the authors’ proposed UHF antenna, whose performance is compared with those of both the antenna optimised by genetic algorithm and the existing wideband antennas. The experimental results show that the proposed antenna with a compact size of 0.201 λ _L × 0.198 λ _L realises the reflection coefficient less than −10 dB from 490 MHz to 1.52 GHz, and its FFs in the face-to-face and side-by-side scenarios are 0.897 and 0.845, respectively. Furthermore, the simulation results reveal that the high FF of antenna greatly increases the accuracy of PD source localisation. It indicates that the MNSGA-II provides an excellent solution to the multiobjective optimisation problems in antenna design.

中文翻译：

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基于改进非支配排序遗传算法的UHF天线的Pareto最优设计

在这项研究中，通过使用改进的非优化方法，对用于局部放电（PD）检测的超高频（UHF）天线进行了优化，以同时满足感兴趣频段中的低回波损耗和高保真因子（FF）的要求。主导的排序遗传算法II（MNSGA-II）。MNSGA-II基于分工策略，采用自适应交叉和变异的可能性，而不是固定的变异和可能性，从而大大提高了收敛速度和探索能力。作者提出的UHF天线是Pareto最优解决方案之一，其性能与遗传算法优化的天线和现有宽带天线的性能相比。实验结果表明，所建议的天线的紧凑尺寸为0.201λ _长×0.198λ _L实现了从490 MHz到1.52 GHz的小于-10 dB的反射系数，并且在面对面和并排场景中的FF分别为0.897和0.845。此外，仿真结果表明，天线的高FF极大地提高了PD源定位的准确性。这表明MNSGA-II为天线设计中的多目标优化问题提供了极好的解决方案。