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Model Predictive Control of Grid Connected Solar PV Inverter

conference contribution
posted on 2020-01-01, 00:00 authored by C Smith, Ameen GargoomAmeen Gargoom, Enamul HaqueEnamul Haque, Aman Maung Than OoAman Maung Than Oo
The large-scale integration of Solar photovoltaic (PV) systems in the distribution grid has introduced several technical challenges such as voltage variations, reverse power flow, power quality and harmonics. These issues are more pronounced in weak grids. Therefore, modern power inverters with the capacity to complete Volt-Var control and moderate power outputs are required to increase grid stability in weak and/or microgrid installations. This paper investigates the use of a Continuous Control Set Model Predictive Control (CCS-MPC) algorithm to control a solar PV inverter, moderating active, and reactive power transfer into the grid through an iterative process. A MATLAB Simulink model is produced and tested to validate the proposed algorithm, with a scenario showing reactive power compensation through Volt-Var control curves. The simulation results confirm that the MPC controller can regulate power flow into the grid with enhanced dynamic and steady state performance, and improved power quality.

History

Event

Australasian Universities Power Engineering Conference (2020 : online and face to face Hobart, Tas.)

Series

Australasian Universities Power Engineering Conference

Pagination

1 - 6

Publisher

IEEE

Location

Online and Hobart, Australia

Place of publication

Piscataway, N.J.

Start date

2020-11-29

End date

2020-12-02

ISBN-13

9781922352767

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Michael Negnevitsky

Title of proceedings

AUPEC 2020 : Power our energy : Proceedings of the Australasian Universities Power Engineering 2020 Conference

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