TY - GEN
T1 - Model-based control approaches for optimal integration of a hybrid wind-diesel power system in a microgrid
AU - Avila, Luis Ismael Minchala
AU - Martínez, Adriana Vargas
AU - Zhang, Youmin
AU - Castañón, Luis Eduardo Garza
AU - Ortiz, Eduardo Robinson Calle
AU - Viola, Julio César
PY - 2013
Y1 - 2013
N2 - This paper presents two model-based approaches for designing control strategies in order to integrate a diesel generator as frequency and voltage leader in an islanded microgrid configuration. The selected microgrid configuration is composed of a hybrid wind-diesel system with a battery storage system (BSS). A model predictive control (MPC) scheme and a model reference adaptive control (MRAC) scheme are selected for this task, due to its flexibility and capability for handling constraints and fault-tolerance, respectively, which is helpful for smart grid (SG) architectures to achieve reduced fuel consumption and with and enhanced reliability and integration of renewable energy sources (RES) into the electrical network. A constrained fuel consumption strategy has been implemented in the diesel engine generator (DEG) controller with the help of MPC strategy and fault-tolerance is achieved with MRAC. Different operating conditions of the microgrid were simulated: 1) diesel-only generation, 2) wind turbine generator (WTG) ignition, 3) sudden connection of 0.5 MW load, and 4) a 3-phase fault with duration of 0.5 seconds. Improved performance over a baseline controller, IEEE type 1 automatic voltage regulator (AVR), is achieved. Dynamic models of the network components are presented in details on design and implementation of the microgrid configuration in Matlab/SimulinkR .
AB - This paper presents two model-based approaches for designing control strategies in order to integrate a diesel generator as frequency and voltage leader in an islanded microgrid configuration. The selected microgrid configuration is composed of a hybrid wind-diesel system with a battery storage system (BSS). A model predictive control (MPC) scheme and a model reference adaptive control (MRAC) scheme are selected for this task, due to its flexibility and capability for handling constraints and fault-tolerance, respectively, which is helpful for smart grid (SG) architectures to achieve reduced fuel consumption and with and enhanced reliability and integration of renewable energy sources (RES) into the electrical network. A constrained fuel consumption strategy has been implemented in the diesel engine generator (DEG) controller with the help of MPC strategy and fault-tolerance is achieved with MRAC. Different operating conditions of the microgrid were simulated: 1) diesel-only generation, 2) wind turbine generator (WTG) ignition, 3) sudden connection of 0.5 MW load, and 4) a 3-phase fault with duration of 0.5 seconds. Improved performance over a baseline controller, IEEE type 1 automatic voltage regulator (AVR), is achieved. Dynamic models of the network components are presented in details on design and implementation of the microgrid configuration in Matlab/SimulinkR .
KW - Distributed generation
KW - Hybrid wind-diesel
KW - Microgrids
KW - Model predictive control
KW - Model reference adaptive control.
UR - http://www.scopus.com/inward/record.url?scp=84887702226&partnerID=8YFLogxK
U2 - 10.5220/0004359400120021
DO - 10.5220/0004359400120021
M3 - Conference contribution
AN - SCOPUS:84887702226
SN - 9789898565556
T3 - SMARTGREENS 2013 - Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems
SP - 12
EP - 21
BT - SMARTGREENS 2013 - Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems
PB - SciTePress
T2 - 2nd International Conference on Smart Grids and Green IT Systems, SMARTGREENS 2013
Y2 - 9 May 2013 through 10 May 2013
ER -
