整流器(神经网络)
谐波
风力发电
控制器(灌溉)
工程类
功率(物理)
汽车工程
计算机科学
电子工程
电气工程
电压
机器学习
物理
生物
循环神经网络
随机神经网络
量子力学
人工神经网络
农学
作者
Veeresh S. Gonal,GS Sheshadri
标识
DOI:10.1177/0309524x221117816
摘要
The electricity demand is growing due to increasing population and fast industrial development . To meet the worldwide energy requirement, the greatest possibilities are the wind-solar energy sources due to excessive accessibility, simplicity in use, and non-polluting in nature . The integration of these resources offers higher advantages, but the quality of the power scheme gets influenced by the different characteristics of wind and solar energy. Thus in the proposed work, an augmented controller and rectifier have been designed to improve the power quality in which the source current gets optimized by using the Hybrid Bat-Dragonfly optimization algorithm. The quality of the optimized power will be enhanced through the Five Legged Power Converter (FLPC) by converting the DC into AC by using a three-phase bridge rectifier without any power loss. The occurrences of harmonics in the current are reduced using a sieve optimized algorithm design.
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