Design and HIL implementation of a new robust fractional sliding mode control of microgrids. Issue 26 (17th February 2021)

• Record Type: Journal Article
• Authors: Delavari, Hadi; Naderian, Sina
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 26(2020)
• Page Start: 6690
• Page End: 6702
• Publication Date: 2021-02-17
• Subjects: 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; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2020.0865
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.