TY - GEN
T1 - Fault-tolerant control of a master generation unit in an islanded microgrid
AU - Minchala-Avila, Luis Ismael
AU - Vargas-Martínez, Adriana
AU - Garza-Castañón, Luis Eduardo
AU - Morales-Menendez, Ruben
AU - Zhang, Youmin
AU - Calle-Ortiz, Eduardo Robinson
N1 - Publisher Copyright:
© IFAC.
PY - 2014
Y1 - 2014
N2 - Two model-based fault-tolerant control design strategies are presented for a Diesel Engine Generator (DEG) working as a master generation unit in an islanded microgrid consisting of a hybrid wind-diesel-photovoltaic power system with a Battery Storage System (BSS). A Model Predictive Control (MPC) scheme and a Model Reference Adaptive Control (MRAC) scheme have been selected for precise and stable voltage and frequency regulation in the DEG. A Fault Detection and Diagnosis (FDD) module is added to the MPC structure, in order to reconfigure the control strategy when actuator faults in the DEG are present. MRAC is used in combination with a PID controller tuned by a Genetic Algorithm (GA). Improved performance over a baseline controller, IEEE type 1 Automatic Voltage Regulator (AVR), is achieved in a developed realistic simulation environment based on Matlab/Simulink.
AB - Two model-based fault-tolerant control design strategies are presented for a Diesel Engine Generator (DEG) working as a master generation unit in an islanded microgrid consisting of a hybrid wind-diesel-photovoltaic power system with a Battery Storage System (BSS). A Model Predictive Control (MPC) scheme and a Model Reference Adaptive Control (MRAC) scheme have been selected for precise and stable voltage and frequency regulation in the DEG. A Fault Detection and Diagnosis (FDD) module is added to the MPC structure, in order to reconfigure the control strategy when actuator faults in the DEG are present. MRAC is used in combination with a PID controller tuned by a Genetic Algorithm (GA). Improved performance over a baseline controller, IEEE type 1 Automatic Voltage Regulator (AVR), is achieved in a developed realistic simulation environment based on Matlab/Simulink.
KW - Fault-tolerant control
KW - Microgrids
KW - Power systems
UR - https://www.scopus.com/pages/publications/84929832946
U2 - 10.3182/20140824-6-za-1003.01092
DO - 10.3182/20140824-6-za-1003.01092
M3 - Contribución a la conferencia
AN - SCOPUS:84929832946
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 5327
EP - 5332
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Y2 - 24 August 2014 through 29 August 2014
ER -