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Challenges, configuration, control, and scope of DC microgrid systems: a review
Managing natural resources and air pollution has been challenging for humans for quite a
long time. A severe manifestation of natural resource mismanagement has been in the form …
long time. A severe manifestation of natural resource mismanagement has been in the form …
Model predictive and iterative learning control based hybrid control method for hybrid energy storage system
This paper proposes a hybrid control method based on model predictive control (MPC) and
iterative learning control (ILC) for the hybrid energy storage system (HESS) in the …
iterative learning control (ILC) for the hybrid energy storage system (HESS) in the …
A survey on cooperative control strategies for DC microgrids
Distributed generators have been widely used in modern power systems, and microgrids are
becoming a key concept for the integration of multiple distributed generators and clusters of …
becoming a key concept for the integration of multiple distributed generators and clusters of …
Stability-oriented design of model predictive control for DC/DC boost converter
Model predictive control (MPC) based on long prediction horizons can address the inherent
nonminimum phase (NMP) behavior issue of dc/dc boost converters. However, the response …
nonminimum phase (NMP) behavior issue of dc/dc boost converters. However, the response …
Offset-free model predictive control of fuel cell DC–DC boost converter with low-complexity and high-robustness
L Xu, R Ma, R ** Injection
LCL-filter interfaced three-level T-type converters have been widely used in low-voltage
applications due to their elevated power quality. However, there exist several problems. To …
applications due to their elevated power quality. However, there exist several problems. To …