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

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

Springer Verlag, Singapore

11/2022

164

Dura

Inglês

9789811971907

15 a 20 dias

442

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