Signal Processing and its Applications

Signal Processing and its Applications

Materials for Energy Production, Conversion, and Storage

Materials for Energy Production, Conversion, and Storage

Modeling and Stability Analysis of Inverter-Based Resources

£170.00
Renewable energy sources interface with the ac grids via inverters are termed inverter-based resources (IBRs). They are replacing traditional fossil fuel-based synchronous generators at a dazzling speed. In turn, unprecedented dynamic events have occurred
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9781000999624
Renewable energy sources interface with the ac grids via inverters are termed inverter-based resources (IBRs). They are replacing traditional fossil fuel-based synchronous generators at a dazzling speed. In turn, unprecedented dynamic events have occurred, threatening power grid reliability. Modeling and Stability Analysis of Inverter-Based Resources provides a fundamental understanding of IBR dynamics.Developing reliability solutions requires a thorough understanding of challenges, and in this case, IBR-associated dynamics. Modeling and stability analysis play an indispensable role in revealing a mechanism of dynamics. This book covers the essential techniques of dynamic model building for IBRs, including type-3 wind farms, type-4 wind farms, and solar photovoltaics. Besides modeling, this book offers readers the techniques of stability analysis. The text includes three parts. Part 1 concentrates on tools, including electromagnetic transient simulation, analysis, and measurement-based modeling. Part 2 focuses on IBR modeling and analysis details. Part 3 highlights generalized dynamic circuit representation-a unified modeling framework for dynamic and harmonic analysis.This topic of IBR dynamic modeling and stability analysis is interesting, challenging, and intriguing. The authors have led the effort of publishing the 2020 IEEE Power and Energy Society's TR-80 taskforce report "e;Wind Energy Systems Subsynchronous Oscillations: Modeling and Events,"e; and the two taskforce papers on investigation of real-world IBR dynamic events. In this book, the authors share with readers many insights into modeling and analysis for real-world IBR dynamic events investigation.
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Fiction Books No
Non Fiction Books No
authors Miao, Zhixin
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