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Monitoring of offshore wind farm using reliable communication

Abstract

Due to rapid exhaustion of fossil fuels, new renewable technologies for electricity generation are insisted upon to meet the continuous growing demand of energy all across the globe. Wind energy as a green energy is a favorable option, among other available renewable sources. The offshore wind farm capacity is growing rapidly, but it's uncertain and intermittent nature offers great challenges to power system engineers. The cost of repair and down time, results into extensive damage and reduced profitability. This necessitates the requirement of fast and reliable communication network for the monitoring and controlling of the wind farm. In this paper, we have proposed the communication network for medium offshore wind farm (160MW). The wind farm consists of four clusters; each cluster comprises of 10 Wind Turbines (WTs), each of capacity 4MW. A WT can be represented by nine logical nodes according to IEC-61400-25 standard. The functions of logical nodes are modeled in terms of analogue /status/control information. The wind farm has been modeled in OPNET modeler and the performance of the communication network is evaluated in terms of End to End delay and packet drop, using Synchronous Optical NETwork (SONET) standard. (Author)
Authors:
Sharma, K G; Gajranib, K; Bhargavac, A [1] 
  1. Rajasthan Technical Univ. Dept. of Electrical Engineering, Kota (India)
Publication Date:
Jul 01, 2012
Product Type:
Conference
Report Number:
NEI-DK-5826
Resource Relation:
Conference: International conference on wind energy: Materials, engineering and policies (WEMEP-2012), Hyderabad (India), 22-23 Nov 2012; Other Information: 5 figs., 2 tabs.
Subject:
17 WIND ENERGY; WIND TURBINE ARRAYS; OFFSHORE SITES; CONTROL SYSTEMS; MONITORING; COMMUNICATIONS; DATA TRANSMISSION SYSTEMS
OSTI ID:
22059246
Research Organizations:
Birla Institute of Technology and Science (BITS Pilani), Hyderabad (India); Technical Univ. og Denmark. DTU Wind Energy, DTU Risoe Campus, Roskilde (Denmark)
Country of Origin:
Denmark
Language:
English
Other Identifying Numbers:
TRN: DK1301060
Availability:
Available at http://www.risoe.dtu.dk/rispubl/NEI/NEI-DK-5826.pdf
Submitting Site:
DK
Size:
6 page(s)
Announcement Date:
Feb 22, 2013

Citation Formats

Sharma, K G, Gajranib, K, and Bhargavac, A. Monitoring of offshore wind farm using reliable communication. Denmark: N. p., 2012. Web.
Sharma, K G, Gajranib, K, & Bhargavac, A. Monitoring of offshore wind farm using reliable communication. Denmark.
Sharma, K G, Gajranib, K, and Bhargavac, A. 2012. "Monitoring of offshore wind farm using reliable communication." Denmark.
@misc{etde_22059246,
title = {Monitoring of offshore wind farm using reliable communication}
author = {Sharma, K G, Gajranib, K, and Bhargavac, A}
abstractNote = {Due to rapid exhaustion of fossil fuels, new renewable technologies for electricity generation are insisted upon to meet the continuous growing demand of energy all across the globe. Wind energy as a green energy is a favorable option, among other available renewable sources. The offshore wind farm capacity is growing rapidly, but it's uncertain and intermittent nature offers great challenges to power system engineers. The cost of repair and down time, results into extensive damage and reduced profitability. This necessitates the requirement of fast and reliable communication network for the monitoring and controlling of the wind farm. In this paper, we have proposed the communication network for medium offshore wind farm (160MW). The wind farm consists of four clusters; each cluster comprises of 10 Wind Turbines (WTs), each of capacity 4MW. A WT can be represented by nine logical nodes according to IEC-61400-25 standard. The functions of logical nodes are modeled in terms of analogue /status/control information. The wind farm has been modeled in OPNET modeler and the performance of the communication network is evaluated in terms of End to End delay and packet drop, using Synchronous Optical NETwork (SONET) standard. (Author)}
place = {Denmark}
year = {2012}
month = {Jul}
}