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Anti-Disturbance Finite-Time Adaptive Sliding Mode Backstepping Control for PV Inverter in Master–Slave-Organized Islanded Microgrid

Chengshun Yang, Shuangfei Ni, Yuchen Dai, Xiaoning Huang, Dongdong Zhang

2020Energies12 citationsDOIOpen Access PDF

Abstract

With the aim to solve the problem related to the power chattering and anti-disturbance performance of a photovoltaic (PV) inverter in master–slave-organized islanded microgrid, an anti-disturbance finite-time adaptive sliding mode backstepping (DFA-SMB) controller is designed in this paper. First, the topology and the second-order dynamic model of PV inverter are established based on constant DC voltage and constant reactive power control method. Subsequently, the backstepping method is adopted to perform the control of a high-order system. Moreover, a second-order sliding mode differentiator is used to realize the function of command-filter, solving the differential expansion problem caused by the derivation of virtual controller. Besides, the terminal sliding mode control (TSMC) is introduced into the q-axis controller and d-axis inner loop controller, increasing the robustness and reducing the convergence time of the system. Adaptive control and disturbance-observer (DO) are used to perform the adaptive estimation of model parameters and the observation of lumped disturbances, respectively, enhancing the dynamic characteristics of the controller. Finally, a master–slave-organized islanded microgrid with 100 kW PV array is established in MATLAB/Simulink. The results demonstrate that the proposed control method can effectively reduce power chattering and improve the anti-disturbance ability of the PV system.

Topics & Concepts

Control theory (sociology)MicrogridBacksteppingDifferentiatorController (irrigation)Sliding mode controlRobustness (evolution)InverterPhotovoltaic systemTerminal sliding modeComputer scienceEngineeringControl engineeringAdaptive controlFilter (signal processing)VoltageControl (management)BiochemistryAgronomyQuantum mechanicsPhysicsNonlinear systemArtificial intelligenceComputer visionBiologyGeneChemistryElectrical engineeringMicrogrid Control and OptimizationIslanding Detection in Power SystemsFrequency Control in Power Systems