Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97405
Title: Model predictive control of distributed generation inverter in a microgrid
Authors: John, Thomas
So, P. L.
Wang, Y.
Tan, K. T.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power
Issue Date: 2014
Source: John, T., Wang, Y., Tan, K.T., & So, P.L. (2014). Model predictive control of distributed generation inverter in a microgrid. 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 657-662.
Conference: 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
Abstract: This paper presents a new control method to regulate various parameters such as voltage, current and power of the inverter interfaced with Distributed Generation (DG) in a microgrid. Model Predictive Control (MPC) is used to control the inverter of the DG using a state-space model of the inverter based microgrid. The operation of the microgrid is tested under grid-connected and stand-alone conditions. MATLAB/Simulink is used to simulate the proposed microgrid under these two operating conditions. Simulation results show that the DG inverter can operate effectively with MPC in the microgrid to provide the desired voltage, current and power under grid-connected and stand-alone conditions.
URI: https://hdl.handle.net/10356/97405
http://hdl.handle.net/10220/38519
DOI: 10.1109/ISGT-Asia.2014.6873870
Schools: School of Electrical and Electronic Engineering 
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ISGT-Asia.2014.6873870].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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