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Decentralized control of an islanded microgrid based on offline model reference adaptive control
In this paper, offline adaptive control of a microgrid in an islanded operation mode is presented. The proposed control scheme consists of a power controller, voltage controller, and current controller, which are operating in a cascade structure. The power controller is designed based on the droop characteristics while the voltage and current loops are optimal Proportional-Integral (PI) controllers. Due to the fact that the performance of all PI controllers fundamentally depends on the proper choice of controller parameters, these parameters are optimized based on the offline utilization of the Model Reference Adaptive Control (MRAC) method and the Genetic Algorithm. The adaptation mechanism in the MRAC method is usually determined using the mathematical model of the system, while in this paper, an optimal adaptation mechanism is achieved by the Genetic Algorithm. The optimal parameters of the controller could be obtained based on the measurements of the Distributed Generation (DG) output voltage when the DG is operating with a test load without any knowledge of its model. To investigate the performance of the suggested controller, simulations are done by MATLAB/Simulink in three different scenarios including load perturbation, disconnection of a DG, and nonlinear load, where the results are compared with IEEE recommendation. In addition, the suggested controller is compared with the H2/H∞ robust controller.
Decentralized control of an islanded microgrid based on offline model reference adaptive control
In this paper, offline adaptive control of a microgrid in an islanded operation mode is presented. The proposed control scheme consists of a power controller, voltage controller, and current controller, which are operating in a cascade structure. The power controller is designed based on the droop characteristics while the voltage and current loops are optimal Proportional-Integral (PI) controllers. Due to the fact that the performance of all PI controllers fundamentally depends on the proper choice of controller parameters, these parameters are optimized based on the offline utilization of the Model Reference Adaptive Control (MRAC) method and the Genetic Algorithm. The adaptation mechanism in the MRAC method is usually determined using the mathematical model of the system, while in this paper, an optimal adaptation mechanism is achieved by the Genetic Algorithm. The optimal parameters of the controller could be obtained based on the measurements of the Distributed Generation (DG) output voltage when the DG is operating with a test load without any knowledge of its model. To investigate the performance of the suggested controller, simulations are done by MATLAB/Simulink in three different scenarios including load perturbation, disconnection of a DG, and nonlinear load, where the results are compared with IEEE recommendation. In addition, the suggested controller is compared with the H2/H∞ robust controller.
Decentralized control of an islanded microgrid based on offline model reference adaptive control
Sedghi, Leila (author) / Emam, Masoud (author) / Fakharian, Ahmad (author) / Savaghebi, Mehdi (author)
2018-11-01
17 pages
Article (Journal)
Electronic Resource
English
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