Proposing a new algorithm for defining the shortest distance among ZigBee-based communication devices in microgrids

To improve the controllability within Future microgrids, a communication network needs to be available to provide data transfer within the MG. Wireless technologies such as ZigBee seem to be a good alternative for data transfer within MGs mainly due to low cost, more flexibility and acceptable data transfer rate. In such networks ZigBee-based repeaters are required to strengthen the communication signals if the DG units are scattered over a vast area. This paper mainly discusses on the algorithms required for defining the shortest distance between the DG units and the MG central controller. Different methods are discussed and a new algorithm is presented. Through the numerical analyses, it is demonstrated that the proposed method leads to a high reduction in the number of repeaters than other conventional algorithms.

[1]  Ibrahim Develi,et al.  Modelling and analysis of a power line communication system with QPSK modem for renewable smart grids , 2012 .

[2]  Sajjad Haider Shami,et al.  Evolution of Communication Technologies for Smart Grid applications , 2013 .

[3]  Farhad Shahnia,et al.  Primary control level of parallel distributed energy resources converters in system of multiple interconnected autonomous microgrids within self-healing networks , 2014 .

[4]  Joao P. S. Catalao,et al.  Photovoltaic and wind energy systems monitoring and building/home energy management using ZigBee devices within a smart grid , 2013 .

[5]  C. W. Duin,et al.  Two fast algorithms for all-pairs shortest paths , 2007, Comput. Oper. Res..

[6]  G. Heideck,et al.  Multi channel voltage control for fuel cells , 2005 .

[7]  William Stallings,et al.  Data and Computer Communications , 1985 .

[8]  N. Radhika,et al.  SMART GRID TEST BED BASED ON GSM , 2012 .

[9]  Avishai Wool,et al.  Accurate modeling of Modbus/TCP for intrusion detection in SCADA systems , 2013, Int. J. Crit. Infrastructure Prot..

[10]  Vehbi C. Gungor,et al.  Analysis of low power wireless links in smart grid environments , 2013, Comput. Networks.

[11]  Yuan Yang,et al.  Design of household appliance control system based on Zigbee , 2012, 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems.

[12]  Prakash Veeraraghavan,et al.  QoS multicast routing using Explore Best Path , 2006, Comput. Commun..

[13]  Arindam Ghosh,et al.  Primary Control Level of Parallel DER Converters in System of Multiple Interconnected Autonomous Microgrids within Self – Healing Networks , 2015 .

[14]  Chuang Deng,et al.  Terrestrial-Satellite Hybrid Backbone Communication Network for Smart Power Grid , 2011 .

[15]  Shafik Ahmad Smart metering and home automation solutions for the next decade , 2011, 2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC).

[16]  Weiming Ma,et al.  A switchable high-speed fiber-optic ring net topology and its method of high-performance synchronization for large-capacity power electronics system , 2014 .

[17]  Francisco G. Montoya,et al.  Integration of communication technologies in sensor networks to monitor the Amazon environment , 2013 .

[18]  Nirmal-Kumar C. Nair,et al.  SmartGrid: Future networks for New Zealand power systems incorporating distributed generation , 2009 .

[19]  Subhas Chandra Mukhopadhyay,et al.  WSN-Based Smart Sensors and Actuator for Power Management in Intelligent Buildings , 2015, IEEE/ASME Transactions on Mechatronics.

[20]  V. Dehalwar,et al.  Intelligent machine to machine communication in home area network for smart grid , 2012, 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12).