Energies 2014, 7(6), 3900-3921; doi:10.3390/en7063900

Communication Network Architectures for Smart-Wind Power Farms

1email and 2,* email
Received: 11 February 2014; in revised form: 28 May 2014 / Accepted: 9 June 2014 / Published: 23 June 2014
(This article belongs to the Special Issue Wind Turbines 2014)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Developments in the wind power industry have enabled a new generation of wind turbines with longer blades, taller towers, higher efficiency, and lower maintenance costs due to the maturity of related technologies. Nevertheless, wind turbines are still blind machines because the control center is responsible for managing and controlling individual wind turbines that are turned on or off according to demand for electricity. In this paper, we propose a communication network architecture for smart-wind power farms (Smart-WPFs). The proposed architecture is designed for wind turbines to communicate directly and share sensing data in order to maximize power generation, WPF availability, and turbine efficiency. We also designed a sensor data frame structure to carry sensing data from different wind turbine parts such as the rotor, transformer, nacelle, etc. The data frame includes a logical node ID (LNID), sensor node ID (SNID), sensor type (ST), and sensor data based on the International Electrotechnical Commission (IEC) 61400-25 standard. We present an analytical model that describes upstream traffic between the wind turbines and the control center. Using a queueing theory approach, the upstream traffic is evaluated in view of bandwidth utilization and average queuing delay. The performance of the proposed network architectures are evaluated by using analytical and simulation models.
Keywords: wind turbine; communication network; smart-wind power farms (Smart-WPFs); International Electrotechnical Commission (IEC) 61400-25; wireless; ZigBee; Ethernet passive optical network (EPON)
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MDPI and ACS Style

Ahmed, M.A.; Kim, Y.-C. Communication Network Architectures for Smart-Wind Power Farms. Energies 2014, 7, 3900-3921.

AMA Style

Ahmed MA, Kim Y-C. Communication Network Architectures for Smart-Wind Power Farms. Energies. 2014; 7(6):3900-3921.

Chicago/Turabian Style

Ahmed, Mohamed A.; Kim, Young-Chon. 2014. "Communication Network Architectures for Smart-Wind Power Farms." Energies 7, no. 6: 3900-3921.

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