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A decentralized model predictive control for multiple distributed generators in the islanded mode of operation


Tavakoli, A and Negnevitsky, M and Muttaqi, KM, A decentralized model predictive control for multiple distributed generators in the islanded mode of operation, 2015 IEEE Industry Applications Society Annual Meeting, 18-22 October, Addison, TX, USA, pp. 1-8. ISBN 9781479983933 (2015) [Refereed Conference Paper]

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DOI: doi:10.1109/IAS.2015.7356807


The increasing penetration of distributed and renewable generation presents power systems with a challenge of accommodating multiple inverter-based generators. Distributed generators (DGs), capable of operating in the islanded mode, are often installed in microgrids. However, a control system for operating multiple DGs in the islanded mode using voltage-sourced converter (VSC) is a real challenge under uncertainties in load parameters, unbalanced phase conditions, and transients. This paper proposes a novel approach to decentralized control of multiple DGs. This approach is based on a combination of a voltage controller using model predictive control (MPC) and a fast current controller using discrete time sliding mode controller (DSMC) for limiting the inverter currents under overload conditions. Performance of the proposed control system is compared with a robust servomechanism program (RSP) controller. The proposed control strategy provides fast tracking, robustness, and fast transient recovery in voltage and current under 1) short circuit conditions, 2) load transients and 3) unbalanced loads. Various scenarios including reference signal tracking and robustness against the load perturbations are considered. Results are presented and discussed.

Item Details

Item Type:Refereed Conference Paper
Keywords:distributed generation, voltage-sourced converter, autonomous operation, model predictive control, discrete time sliding mode controller
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Tavakoli, A (Mr Ahmad Tavakoli)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:105798
Year Published:2015
Deposited By:Engineering
Deposited On:2016-01-14
Last Modified:2017-11-06

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