Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning portes grátis

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

Ge, Xiaohai; He, Jinsong; Ma, Hao; Zhang, Xin; Ma, Zhixun

Springer Verlag, Singapore

12/2023

164

Mole

Inglês

9789811971938

15 a 20 dias

Descrição não disponível.
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.
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Power converters;Control schemes;Adaptive;Robustness;Microgrid operation;Switching loss;Loop analysis