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Titlebook: Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System; Dipayan Guha,Provas Kumar Roy,Shubhi Purwar Bo

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发表于 2025-3-21 20:06:10 | 显示全部楼层 |阅读模式
期刊全称Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System
影响因子2023Dipayan Guha,Provas Kumar Roy,Shubhi Purwar
视频videohttp://file.papertrans.cn/160/159128/159128.mp4
发行地址Helps readers to understand the problem with step-wise illustration of the design.Focuses on the design of nonlinear controller which further motivates readers for research work.Illustrates use of hyb
学科分类Studies in Systems, Decision and Control
图书封面Titlebook: Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System; Dipayan Guha,Provas Kumar Roy,Shubhi Purwar Bo
影响因子.This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a “hybrid power system (HPS)” integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular..
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https://doi.org/10.1007/978-3-211-79812-6frequency controllers are imperative. This chapter provides modelling of different variants of integer/fractional-order conventional controllers applied to regulate system frequency subjected to unknown/uncertain system disturbances. An extensive comparative study has been shown among the studied fr
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https://doi.org/10.1007/978-3-211-79812-6rmance degrades with unmodelled system dynamics, parametric variation, unknown/uncertain disturbances, etc. Hence, it is desired to ensure the robust performance of the applied controller against system uncertainty. This chapter presents modelling and analysis of integer/fractional-order robust cont
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https://doi.org/10.1007/978-3-211-79812-6integration of an intelligent controller into the system is highly demanded. Especially during high penetration of inverter-based renewable energy resources, it is desired to adopt an intelligent control methodology for handling system uncertainties and offering appreciable outputs. This chapter pro
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Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System978-981-19-0444-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
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