Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning
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...
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023, 2023
|
| Edition: | 1st ed. 2023 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Adaptive backstepping current control of single-phase LCL-grid-connected inverters to improve its large-signal stability in the presence of parasitic resistance uncertainty
- An adaptive dual-loop Lyapunov-based control scheme for a single-phase stand-alone inverter to improve its large-signal stability
- Lyapunov-based control of three-phase stand-alone inverters to improve its large-signal stability with inherent dual control loops and load disturbance adaptivity
- An ellipse-optimized composite backstepping control strategy for a point-of-load inverter to improve its large-signal stability under load disturbance in the shipboard power system
- Stability constraining dichotomy solution based model predictive control for the three phase inverter cascaded with input EMI filter in the MEA
- Composite-bisection predictive control to stabilize the three phase inverter cascaded with input EMI filter in the SPS
- Reinforcement learning basedweighting factors’ real-time updating scheme for the FCS model predictive control to improve the large-signal stability of inverters