Output-feedback based robust controller for uncertain DC islanded microgrid. (April 2020)

• Record Type: Journal Article
• Authors: Mehdi, Muhammad; Saad, Muhammad; Jamali, Saeed Zaman; Kim, Chul-Hwan
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 42:Number 6(2020)
• Page Start: 1239
• Page End: 1251
• Publication Date: 2020-04
• Subjects: DC microgrid -- disturbance attenuation -- parametric uncertainty -- robust output-feedback control -- voltage tracking; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/0142331219884804
• Languages: English
• ISSNs: 0142-3312

Abstract

The integration of renewable energy resources to DC microgrid has captured the attention of the researchers in recent years. One of the active field of application of DC distribution is the islanded DC microgrid (DC ImG). The DC ImG present numerous challenges to researchers. Among many challenges, the regulation of voltage and stability of the system is indispensable to efficient operation. The voltage stability problem becomes more prominent when the system is exposed to disturbances and possess uncertainties in parameters. However, challenges can be overcome by skilful design of a robust controller for the system. Therefore, in this paper, an output-feedback based centralized robust control scheme is proposed. The proposed controller is designed to maintain good control performance in the presence of parametric uncertainties and exogenous disturbances. The uncertainties of the DC microgrid is modelled as a linear time-varying state-space system. The upper and the lower bounds of the time-varying parameters are determined by a Lebesque-measurable matrix. To attenuate the exogenous disturbances of the systemH ∞ based output-feedback controller is designed. The system stability is assured by the Lyapunov function candidate. The output-feedback controller needs only the voltage measurement; therefore, it requires less communication bandwidth as compared to the state-feedback. To obtain the controller parameters linear matrix inequality constraints are formulated and solved. The performance of the proposed controller is verified via simulations and compared with the existing schemes.