Prince Kumar;Kunal Kumar;Aashish Kumar Bohre;Nabanita Adhikary
{"title":"Estimating Wind Turbine's Pitch Angle for Smart Control in Hybrid Energy Network Under Random Loading Conditions","authors":"Prince Kumar;Kunal Kumar;Aashish Kumar Bohre;Nabanita Adhikary","doi":"10.1109/TIA.2025.3549004","DOIUrl":null,"url":null,"abstract":"Amidst the ever-increasing global demand for energy, there has been a crucial shift towards incorporating green energy sources into conventional power grids, amplifying the complexity of these systems. This study delves into the intricate challenges of generation control within hybrid power networks, emphasizing wind farms as key contributors to green energy. In the dynamic environment of a wind farm-integrated hybrid power network with random loading patterns, the research introduces an innovative control strategy. This involves the precise estimation of optimal pitch angles and the fine-tuning of a fractional-order controller. This is executed using the firefly optimization (FFO) method to enhance overall generation control performance, fostering a more sustainable power infrastructure. The power generated by a wind turbine is intricately linked to the pitch angle of its blades. This angle plays a critical role in determining the aerodynamic forces acting on the blades and, consequently, the turbine's overall efficiency. The proposed approach is simulated using the MATLAB/SIMULINK tool.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"5839-5852"},"PeriodicalIF":4.5000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industry Applications","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10916973/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Amidst the ever-increasing global demand for energy, there has been a crucial shift towards incorporating green energy sources into conventional power grids, amplifying the complexity of these systems. This study delves into the intricate challenges of generation control within hybrid power networks, emphasizing wind farms as key contributors to green energy. In the dynamic environment of a wind farm-integrated hybrid power network with random loading patterns, the research introduces an innovative control strategy. This involves the precise estimation of optimal pitch angles and the fine-tuning of a fractional-order controller. This is executed using the firefly optimization (FFO) method to enhance overall generation control performance, fostering a more sustainable power infrastructure. The power generated by a wind turbine is intricately linked to the pitch angle of its blades. This angle plays a critical role in determining the aerodynamic forces acting on the blades and, consequently, the turbine's overall efficiency. The proposed approach is simulated using the MATLAB/SIMULINK tool.
期刊介绍:
The scope of the IEEE Transactions on Industry Applications includes all scope items of the IEEE Industry Applications Society, that is, the advancement of the theory and practice of electrical and electronic engineering in the development, design, manufacture, and application of electrical systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; industry leadership in energy conservation and environmental, health, and safety issues; the creation of voluntary engineering standards and recommended practices; and the professional development of its membership.