Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning (Hardcover, 1st ed. 2023)

This book introduces a family of large-signal stability-based control methods for different power inverters (grid-connected inverter, standalone inverter, single-phase inverter, and three-phase inverter) in practical applications. Power inverters have stability issues, which include the inverter's own instability as well as the inverter's instability in relation to the other power electronic devices in the system (i.e., weak grid and the EMI filter). Most of the stability analyses and solutions are based on small-signal stability technology. Unfortunately, in actuality, the majority of practical instability concerns in power inverter systems are large-signal stability problems, which, when compared to small-signal stability problems, can cause substantial damage to electrical equipment. As a result, researchers must conduct a comprehensive investigation of the large-signal stability challenge and solutions for power inverters. This book can be used as a reference for researchers, power inverters manufacturers, and end-users. As a result, the book will not become obsolete in the near future, regardless of technology advancements.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	December 2022
First published:	2023
Authors:	Xin Zhang • Jinsong He • Hao Ma • Zhixun Ma • Xiaohai Ge
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	164
Edition:	1st ed. 2023
ISBN-13:	978-981-19-7190-7
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-19-7190-0
Barcode:	9789811971907

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