Wireless Network Architecture for Cyber Physical Wind Energy System
There is a growing interest to increase the grid integration of large-scale wind power farms (WPF). As most WPFs are located in remote areas where abundant wind resources are available, these sites are lacking communication infrastructures and network coverage which present major obstacles in enabli...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9016210/ |
| _version_ | 1818579547762720768 |
|---|---|
| author | Mohamed A. Ahmed Ali M. Eltamaly Majed A. Alotaibi Abdulrahman I. Alolah Young-Chon Kim |
| author_facet | Mohamed A. Ahmed Ali M. Eltamaly Majed A. Alotaibi Abdulrahman I. Alolah Young-Chon Kim |
| author_sort | Mohamed A. Ahmed |
| collection | DOAJ |
| description | There is a growing interest to increase the grid integration of large-scale wind power farms (WPF). As most WPFs are located in remote areas where abundant wind resources are available, these sites are lacking communication infrastructures and network coverage which present major obstacles in enabling reliable data transmission between WPFs and their control centers. With the absence of unified communication network architecture, different vendors and manufacturers are developing their own monitoring and control solutions according to their needs. There is a knowledge gap related to the design of WPF communication networks, where the assumptions of available articles do not represent the complete monitoring data from WPF subsystems including wind turbines, meteorological towers and substations. This work aims to design a wireless network architecture for the grid integration of cyber physical wind energy system based on the IEC 61400-25 standard. The proposed architecture consists of four layers: a wind farm layer, a data acquisition layer, a communication network layer and an application layer. Wireless communication technologies outperform conventional wired-based solutions by offering lower costs, greater flexibility and easier deployment. Based on IEC 61400-25 standard, a wireless turbine area network is proposed for collecting sensing data from wind turbine parts, and connected to a wireless farm area network developed for communication between the remote control center and wind turbines. The network performance of the proposed wireless wind turbine internal network (includes the number of sensor nodes, data types and data size) is evaluated considering different wireless technologies (ZigBee, WiFi and WiMAX) in view of end-to-end delay, wireless channel capacity, and data loss. The simulation results show that wireless-based solutions can meet the delay requirements of the IEEE 1646 standard. This work contributes for building a redundant wireless communication infrastructure for remote monitoring of WPFs with scalable coverage and capacity. |
| first_indexed | 2024-12-16T07:03:27Z |
| format | Article |
| id | doaj.art-0dc5cdc805d1410ca6adfe1848adec0f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T07:03:27Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0dc5cdc805d1410ca6adfe1848adec0f2022-12-21T22:40:05ZengIEEEIEEE Access2169-35362020-01-018401804019710.1109/ACCESS.2020.29767429016210Wireless Network Architecture for Cyber Physical Wind Energy SystemMohamed A. Ahmed0https://orcid.org/0000-0002-0507-5111Ali M. Eltamaly1https://orcid.org/0000-0002-9831-7182Majed A. Alotaibi2Abdulrahman I. Alolah3https://orcid.org/0000-0003-2039-4679Young-Chon Kim4https://orcid.org/0000-0002-1736-0710Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, ChileSaudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi ArabiaDepartment of Computer Engineering and Smart Grid Research Center, Jeonbuk National University, Jeonju, South KoreaThere is a growing interest to increase the grid integration of large-scale wind power farms (WPF). As most WPFs are located in remote areas where abundant wind resources are available, these sites are lacking communication infrastructures and network coverage which present major obstacles in enabling reliable data transmission between WPFs and their control centers. With the absence of unified communication network architecture, different vendors and manufacturers are developing their own monitoring and control solutions according to their needs. There is a knowledge gap related to the design of WPF communication networks, where the assumptions of available articles do not represent the complete monitoring data from WPF subsystems including wind turbines, meteorological towers and substations. This work aims to design a wireless network architecture for the grid integration of cyber physical wind energy system based on the IEC 61400-25 standard. The proposed architecture consists of four layers: a wind farm layer, a data acquisition layer, a communication network layer and an application layer. Wireless communication technologies outperform conventional wired-based solutions by offering lower costs, greater flexibility and easier deployment. Based on IEC 61400-25 standard, a wireless turbine area network is proposed for collecting sensing data from wind turbine parts, and connected to a wireless farm area network developed for communication between the remote control center and wind turbines. The network performance of the proposed wireless wind turbine internal network (includes the number of sensor nodes, data types and data size) is evaluated considering different wireless technologies (ZigBee, WiFi and WiMAX) in view of end-to-end delay, wireless channel capacity, and data loss. The simulation results show that wireless-based solutions can meet the delay requirements of the IEEE 1646 standard. This work contributes for building a redundant wireless communication infrastructure for remote monitoring of WPFs with scalable coverage and capacity.https://ieeexplore.ieee.org/document/9016210/IEC 61400-25WiFiWiMAXwind farmwind turbinewireless communication network |
| spellingShingle | Mohamed A. Ahmed Ali M. Eltamaly Majed A. Alotaibi Abdulrahman I. Alolah Young-Chon Kim Wireless Network Architecture for Cyber Physical Wind Energy System IEEE Access IEC 61400-25 WiFi WiMAX wind farm wind turbine wireless communication network |
| title | Wireless Network Architecture for Cyber Physical Wind Energy System |
| title_full | Wireless Network Architecture for Cyber Physical Wind Energy System |
| title_fullStr | Wireless Network Architecture for Cyber Physical Wind Energy System |
| title_full_unstemmed | Wireless Network Architecture for Cyber Physical Wind Energy System |
| title_short | Wireless Network Architecture for Cyber Physical Wind Energy System |
| title_sort | wireless network architecture for cyber physical wind energy system |
| topic | IEC 61400-25 WiFi WiMAX wind farm wind turbine wireless communication network |
| url | https://ieeexplore.ieee.org/document/9016210/ |
| work_keys_str_mv | AT mohamedaahmed wirelessnetworkarchitectureforcyberphysicalwindenergysystem AT alimeltamaly wirelessnetworkarchitectureforcyberphysicalwindenergysystem AT majedaalotaibi wirelessnetworkarchitectureforcyberphysicalwindenergysystem AT abdulrahmanialolah wirelessnetworkarchitectureforcyberphysicalwindenergysystem AT youngchonkim wirelessnetworkarchitectureforcyberphysicalwindenergysystem |