Stability Enhancement Methods of Inverters Based on Lyapunov Function Predictive Control and Reinforcement Learning is popular PDF and ePub book, written by Xin Zhang in 2022-11-29, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Stability Enhancement Methods of Inverters Based on Lyapunov Function Predictive Control and Reinforcement Learning can be Read Online from any device for your convenience.
Stability Enhancement Methods of Inverters Based on Lyapunov Function Predictive Control and Reinforcement Learning Book PDF Summary
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.
Detail Book of Stability Enhancement Methods of Inverters Based on Lyapunov Function Predictive Control and Reinforcement Learning PDF
- Author : Xin Zhang
- Release : 29 November 2022
- Publisher : Springer Nature
- ISBN : 9789811971914
- Genre : Technology & Engineering
- Total Page : 175 pages
- Language : English
- PDF File Size : 16,9 Mb
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