Control for EESS in Three-Phase Microgrids under Time-Domain Reference Frame via PBC Theory

This brief presents a general form of designing passivity-based controllers for electrical energy storage systems (EESS) in three-phase microgrids (TP-MGs) under time-domain reference frame. The control strategy proposed in this brief use the Clark's transformation known as αβ reference frame,...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8862
Acceso en línea:
https://hdl.handle.net/20.500.12585/8862
Palabra clave:
Active and reactive power control
Bilinear structure
Eelectrical energy storage systems
Hamiltonian formulation
Laypunov's stability
Passivity-based control theory
Control theory
Controllers
Electric power system control
Energy storage
Hamiltonians
MATLAB
Reactive power
Two term control systems
Active and reactive power controls
Dynamical performance
Electrical energy storage systems
Hamiltonian formulations
Matlab/Simulink software
Passivity based control
Passivity-based controllers
Proportional-integral control
Power control
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:This brief presents a general form of designing passivity-based controllers for electrical energy storage systems (EESS) in three-phase microgrids (TP-MGs) under time-domain reference frame. The control strategy proposed in this brief use the Clark's transformation known as αβ reference frame, avoiding to use phase-locked loop systems, which allows improving the dynamical performance in the energy storage devices. Passivity-based control guarantees stable operating conditions in the sense of Lyapunov for each EESS for different grid operation scenarios in the TP-MG. The design of the controllers is made by using passivity-based control (PBC) theory in conjunction to the dynamics of the error approach. A comparison to classical proportional-integral control method is used to show the applicability of the PBC approach presented in this brief. Simulation results are conducted via MATLAB/Simulink software. © 2004-2012 IEEE.