Design and HIL implementation of a new robust fractional sliding mode control of microgrids

作     者：Delavari, Hadi Naderian, Sina 

作者机构：Hamedan Univ Technol Dept Elect Engn Hamadan 65155 Hamadan Iran 

出 版 物：《IET GENERATION TRANSMISSION & DISTRIBUTION》 (IET发电，输电与配电)

年 卷 期：2020年第14卷第26期

页      面：6690-6702页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：adaptive control three-term control particle swarm optimisation invertors control system synthesis robust control microcontrollers uncertain systems variable structure systems distributed power generation nonlinear control systems power generation control harmonic current resulting nonlinear loads steady state tracking error stated goals fractional adaptive sliding mode controller flexibility degree of freedom adaptation laws controller parameters Particle Swarm Optimization algorithm islanded microgrid different disturbances PID controller robust fractional sliding mode control microgrids microgrid inverters unavoidable modelling uncertainties 

摘      要：Microgrid inverters in the presence of faults, unavoidable modelling uncertainties, disturbance and harmonic current resulting from nonlinear loads should have small steady state tracking error, small THD and high robustness hence this subject has turned one of the motivations of this investigation. To achieve the stated goals, fractional adaptive sliding mode controller (FASMC) is proposed in this paper. The proposed controller increases the robustness, flexibility and degree of freedom. As far as in practice it is not easy to define the bounds of disturbances and guarantee the system stability, hence in next step, to overcome this challenge the adaptation laws are suggested. Then for the problem of determining the controller parameters, Particle Swarm Optimization (PSO) algorithm is used. The performance of the proposed technique is investigated for an islanded microgrid under different disturbances, also to verify the advantages of the proposed controller, the results are compared with other controllers. Finally, the proposed controller and PID controller are implemented experimentally on Arduino mega 2560 microcontroller.