Please use this identifier to cite or link to this item:
Title: MPC-Based Fast Frequency Control of Voltage Source Converters in Low-Inertia Power Systems
Authors: Stanojev, Ognjen 
Markovic, Uros 
Aristidou, Petros 
Hug, Gabriela 
Callaway, Duncan 
Vrettos, Evangelos 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Model predictive control;Voltage source converter;Frequency support;Low-inertia systems
Issue Date: 2020
Source: IEEE Transactions on Power Systems, 2020
Journal: IEEE Transactions on Power Systems 
Abstract: A rapid deployment of renewable generation has led to significant reduction in the rotational system inertia and damping, thus making frequency control in power systems more challenging. This paper proposes a novel control scheme based on Model Predictive Control (MPC) for converter-interfaced generators operating in a grid-forming mode, with the goal of exploiting their fast response capabilities to provide fast frequency control service to the system. The controller manipulates converter power injections to limit the frequency nadir and rate-of-change-of frequency after a disturbance. Both centralized and decentralized MPC approaches are considered and compared in terms of performance and practical implementation. Special attention is given to the decentralized controller by generating an explicit MPC solution to enhance computational efficiency and reduce hardware requirements. Simulation results obtained from a high fidelity DAE model of the IEEE 39-bus system demonstrate the effectiveness of the proposed control schemes.
ISSN: 1558-0679
DOI: 10.1109/TPWRS.2020.2999652
Rights: (c) IEEE
Type: Article
Affiliation : Cyprus University of Technology 
ETH Zurich 
UC Berkeley 
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
manuscript.pdf18.13 MBAdobe PDFView/Open
CORE Recommender
Show full item record

Page view(s)

Last Week
Last month
checked on Apr 17, 2021


checked on Apr 17, 2021

Google ScholarTM



Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.