NDLI: Predictive optimal matrix converter control for a Dynamic Voltage Restorer with flywheel energy storage

Content Provider	IEEE Xplore Digital Library
Author	Gamboa, P. Silva, J.F. Pinto, S.F. Margato, E.
Copyright Year	2009
Description	Author affiliation: Instituto Superior de Engenharia de Lisboa, DEEA, Rua Cons. Emídio Navarro 1, 1950-062 Lisboa, Portugal (Gamboa, P.; Margato, E.) \|\| DEEC, Instituto Superior Técnico, TU Lisbon (Silva, J.F.; Pinto, S.F.)
Abstract	This paper presents a predictive optimal matrix converter controller for a flywheel energy storage system used as Dynamic Voltage Restorer (DVR). The flywheel energy storage device is based on a steel seamless tube mounted as a vertical axis flywheel to store kinetic energy. The motor/generator is a Permanent Magnet Synchronous Machine driven by the AC-AC Matrix Converter. The matrix control method uses a discrete-time model of the converter system to predict the expected values of the input and output currents for all the 27 possible vectors generated by the matrix converter. An optimal controller minimizes control errors using a weighted cost functional. The flywheel and control process was tested as a DVR to mitigate voltage sags and swells. Simulation results show that the DVR is able to compensate the critical load voltage without delays, voltage undershoots or overshoots, overcoming the input/output coupling of matrix converters.
Starting Page	759
Ending Page	764
File Size	590436
Page Count	6
File Format	PDF
ISBN	9781424446483
ISSN	1553572X
e-ISBN	9781424446506
DOI	10.1109/IECON.2009.5415015
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-03
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Matrix converters Optimal control Voltage control Flywheels Energy storage Control systems Steel Kinetic energy Permanent magnet motors Synchronous motors
Content Type	Text
Resource Type	Article

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