Robust adaptive H‐infinity based controller for islanded microgrid supplying non‐linear and unbalanced loads. Issue 3 (4th July 2019)

• Record Type: Journal Article
• Authors: Sedhom, Bishoy E.; Hatata, Ahmed Y.; El‐Saadawi, Magdi M.; Abd‐Raboh, El‐Hosaini E.
• Is Part Of: IET smart grid. Volume 2:Issue 3(2019)
• Page Start: 420
• Page End: 435
• Publication Date: 2019-07-04
• Subjects: control system synthesis -- voltage control -- power grids -- robust control -- adaptive control -- distributed power generation -- electric current control -- power distribution control -- frequency control -- power system stability -- Matlab -- power engineering computing -- control engineering computing; system voltage -- system load variation -- repetitive control method -- robust adaptive H‐infinity based controller -- droop control method -- H‐infinity controller -- droop control loop -- adaptive control -- islanded microgrid -- unbalanced loads -- nonlinear loads -- internal model principle -- current error tracking -- voltage tracking -- MATLAB -- Simulink -- off‐grid mode -- system stability analysis -- fault clearance -- frequency regulation -- system step response -- root locus; B8110C Power system control -- C1310 Control system analysis and synthesis methods -- C1320 Stability in control theory -- C1330 Optimal control -- C1340E Self‐adjusting control systems -- C3110B Voltage control -- C3110D Current control -- C3110G Frequency control -- C3340H Control of electric power systems -- C7410B Power engineering computing -- C7420 Control engineering computing -- B8120K Distributed power generation; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0024
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : This study introduces a proposed control method for microgrids (MGs) in islanded (off‐grid) mode. The proposed control method is developed by modifying the droop control method using H‐infinity controller. In this control method, the droop control loop, current and voltage control loops are adjusted to respond to system load variation. The proposed method is an adaptive control one as it regulates the system voltage and frequency to their nominal values after system load variations. Also, it is a repetitive control method as it depends on the internal model principle that provides good performance for voltage and current error tracking. To prove the applicability and effectiveness of the proposed method, it is applied to a test system using MATLAB/Simulink under three different loading conditions. The results are compared with those of droop control and they prove the effectiveness of the proposed method in adjusting MGs under the off‐grid mode of operation. Also, a system stability analysis is performed based on root locus and system step response. Robustness analysis is performed to prove the ability of the proposed controller to restore the system performance after the fault clearance.