An Adaptive Proportionate Robust Diffusion Recursive Least Exponential Hyperbolic Cosine Based Control for Solar Photovoltaic–Wind Driven Doubly-Fed Induction Generator Based Microgrid
{"title":"An Adaptive Proportionate Robust Diffusion Recursive Least Exponential Hyperbolic Cosine Based Control for Solar Photovoltaic–Wind Driven Doubly-Fed Induction Generator Based Microgrid","authors":"Suvom Roy;Souvik Das;Bhim Singh;Bijaya Ketan Panigrahi","doi":"10.1109/TII.2024.3505427","DOIUrl":null,"url":null,"abstract":"This article presents a new control for multirenewable energy sourced microgrid (MG) that performs operational mode change seamlessly with added power quality improvement features. This MG comprises of a wind turbine driven doubly fed induction generator and a solar photovoltaic array. This control presents an adaptive current control based on proportionate robust diffusion recursive least exponential hyperbolic cosine method utilized for fundamental weight extraction. This adaptive control offers a superior convergence rate and noise-free weight estimates, thereby providing significant harmonics reduction from injected grid currents. A change of MG operational mode is due to check imposed by islanding scheme, which functions reliably due to accurate calculation of phase angles provided by multiple delayed signal cancellation (MDSC) frequency-locked loop method. MDSC prefilter mitigates issues of harmonics distortion and dc-offset from input voltage signal, providing accurate estimates. This new control is tested on a developed prototype in the laboratory using a dSPACE MicroLabBox DS1202, under adverse operational conditions.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"21 4","pages":"2809-2818"},"PeriodicalIF":9.9000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Informatics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10814974/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a new control for multirenewable energy sourced microgrid (MG) that performs operational mode change seamlessly with added power quality improvement features. This MG comprises of a wind turbine driven doubly fed induction generator and a solar photovoltaic array. This control presents an adaptive current control based on proportionate robust diffusion recursive least exponential hyperbolic cosine method utilized for fundamental weight extraction. This adaptive control offers a superior convergence rate and noise-free weight estimates, thereby providing significant harmonics reduction from injected grid currents. A change of MG operational mode is due to check imposed by islanding scheme, which functions reliably due to accurate calculation of phase angles provided by multiple delayed signal cancellation (MDSC) frequency-locked loop method. MDSC prefilter mitigates issues of harmonics distortion and dc-offset from input voltage signal, providing accurate estimates. This new control is tested on a developed prototype in the laboratory using a dSPACE MicroLabBox DS1202, under adverse operational conditions.
期刊介绍:
The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.