NDLI: Performance of a Direct Power Control System Using Coded Wireless OFDM Power Reference Transmissions for Switched Reluctance Aerogenerators in a Smart Grid Scenario

Content Provider	IEEE Xplore Digital Library
Author	Capovilla, C.E. Santana Casella, I.R. Sguarezi Filho, A.J. dos Santos Barros, T.A. Ruppert Filho, E.
Copyright Year	1982
Abstract	This paper presents a performance analysis of a wireless direct power control system for switched reluctance aerogenerators. Aiming at a smart grid scenario, the utilization of wireless technologies for transmitting control information requires a powerful modulation and error-correction coding schemes to avoid any serious problems to the energetic plant. These transmission errors can cause permanent damages in the components of the turbine and converters, and they can also compromise the quality of the energy delivered to the grid. The performance of the proposed system is investigated in a frequency-selective fading channel, thus enabling a deeper study of the impact of the use of wireless communications for reference signal transmissions. This research demonstrates the operational viability of wireless systems for this type of application, when an appropriate digital modulation and coding techniques are applied.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	52
Ending Page	61
Page Count	10
File Size	1985955
File Format	PDF
ISSN	02780046
Volume Number	62
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Parity check codes OFDM Encoding Vectors Power control Smart grids wireless communications Low-density parity check (LDPC) orthogonal frequency-division multiplexing (OFDM) power control smart grid switched reluctance generator (SRG) wind energy
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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