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A decentralized control strategy for multiple distributed generation in islanded mode


Tavakoli, A and Negnevitsky, M and Lyden, S and Haruni, O, A decentralized control strategy for multiple distributed generation in islanded mode, Proceedings of the 2014 IEEE Power and Energy Society General Meeting, 27-31 July 2014, National Harbor, USA, pp. 1-5. ISBN 978-1-4799-6415-4 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/PESGM.2014.6938789


A technical challenge is designing a controller to control multiple distributed generation (DG) and its local loads by voltage-sourced converter (VSC) to operate in an islanded mode under the load parameters uncertainty, and unbalanced and transient conditions. Model predictive control (MPC) for the autonomous operation of multiple DG is proposed. The MPC is designed for multiple inputs and multiple outputs (MIMO) systems, and takes into consideration constraints, and nonlinearities. In this paper, the MPC-based voltage controller is combined with a fast current controller using a discrete time sliding mode controller (DSMC) for limiting the inverter currents under overload condition. The proposed control strategy provides fast tracking, robustness, fast transient recovery, less distortion, and minimal overshoots in voltage and current under 1) the short circuit conditions, 2) load transients and 3) unbalanced loads. Various scenarios including the reference signal tracking and robustness against the load perturbations are considered.

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 systems and analysis
UTAS Author:Tavakoli, A (Mr Ahmad Tavakoli)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:Lyden, S (Dr Sarah Lyden)
ID Code:97630
Year Published:2014
Deposited By:Engineering
Deposited On:2015-01-05
Last Modified:2017-11-06

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