基于统一电能质量调节器的基于增强鲸鱼优化的植入式生物医学设备电能质量增强数学建模

T. Arulkumar, N. Chandrasekaran
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引用次数: 0

摘要

植入式生物医学系统能够实现无线植入式设备的大部分功能,近年来取得了重大进展。然而,由于有限的小型化,功率分布的限制,以及植入物和外部设备之间的稳定连接的不可用性,这种系统主要限于研究。利用自然资源和人体运动为植入式生物医学设备发电已经成为一种可行的选择。目前,能源成为电网的新兴用途,这对生物医学应用的电能质量有效性、高效能源利用和电压稳定形成了新的挑战。在生物医学设备中实施智能电网时,电能质量被认为是最大的问题。有源电力滤波器(apf)被首选用于奖励相关问题,主要是因为它可以快速滤出PQ,并且是一种动态补偿。为了消除电压和电流谐波不足,本文精确实现了带PI控制单元的UPQC,该控制单元将直流电源转换为基于增强鲸鱼优化算法(EWOA)的三级逆变器。同样,UPQC也使用了增强型鲸鱼优化算法(EWOA)。在这种方法中,UPQC和EWOA(增强鲸鱼优化)被引入到电压和电流谐波消除缺陷中。类似地,EWOA也与UPQC一起实现。UPQC & EWOA通过仿真对THD电平、负载电流和电压等参数进行了性能评估。还使用了性能估计,并显示了实现的结果。为了分析THD值并验证系统性能,建立了性能估计,并与THD值、负载电压和电流参数进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Modeling of Enhanced Whale Optimization Based Power Quality Enhancement Using Unified Power Quality Conditioner for Implantable Biomedical Devices
Implantable biomedical systems that enable the majority of the functions of wireless implantable devices have made significant progress in recent years. Nonetheless, due to limited miniaturization, power distribution limits, and the unavailability of a stable link between implants and external devices, such systems are primarily limited to investigation. Generating electricity from natural sources and human body movement for implantable biomedical devices has emerged as a viable option. Nowadays, energy sources become the emerging use of electricity grid which has formed new challenges for the effectiveness of power quality, efficient energy utilization and voltage stabilization for biomedical applications. Power quality in the implementation of the smart grid in biomedical devices is regarded to be the most problematic. APFs (Active Power Filter) are preferred to reward the related problems, mainly because they can quickly filter out of the PQ and are a dynamic compensation. The UPQC with a PI control unit with DC source to be converted to a three stage inverter based on Enhanced Whale Optimization Algorithm (EWOA) was precisely implemented in the article in order to eliminate voltage and current harmonics inadequate. Similarly, UPQC also used the Enhanced Whale Optimization Algorithm (EWOA). In this approach, UPQC along with EWOA (Enhanced whale optimization) has been introduced for voltage and current harmonics elimination defect specifically. Similarly, EWOA was too implemented with UPQC. UPQC & EWOA conducted a performance estimate by estimating a simulation, results on comparing the parameters of THD levels, load current and voltage. The performance estimate is also used and the results achieved are shown. In order to analyze THD values and validate the system performance, performance estimates are built and compared with THD values, load voltage and current parameters.
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