Authors:
Luis Ismael Minchala Avila
1
;
Adriana Vargas Martínez
2
;
Youmin Zhang
2
;
Luis Eduardo Garza Castañón
3
;
Eduardo Robinson Calle Ortiz
4
and
Julio César Viola
4
Affiliations:
1
Tec. de Monterrey and Concordia University, Mexico
;
2
Concordia University, Canada
;
3
Tec. de Monterrey, Mexico
;
4
Universidad Politécnica Salesiana, Ecuador
Keyword(s):
Distributed Generation, Hybrid Wind-diesel, Microgrids, Model Predictive Control, Model Reference Adaptive Control.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Fault Tolerance and Disaster Recovery in Smart Grids
;
Integration of Smart Appliances
;
Real-Time Systems
;
Smart Grid Security and Reliability
;
Smart Grids
;
Smart Grids Modeling
Abstract:
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 generati
on, 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/Simulink.
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