Volume 16 (2015)
Volume 15 (2014)
Volume 14 (2013)
Volume 13 (2012)
Volume 12 (2011)
Volume 11 (2010)
Volume 10 (2009)
Volume 9 (2008)
Volume 8 (2007)
Most Downloaded Articles
- Different Strategies for Controlling Output Power Smoothing of a PMSG-Based Wind Energy Conversion Systems by Pratap, Alok/ Howlader, Abdul Motin/ Senjyu, Tomonobu/ Yona, Atsushi/ Urasaki, Naomitsu and Funabashi, Toshihisa
- Erratum to Harmonic Penetration Method for Radial Distribution Networks [Int. J. Emerg. Electr. Power Syst. DOI 10.1515/ijeeps-2013-0093] by Archundia-Aranda, I. and Mota-Palomino, R. O.
- STATCOM-Based Wind-Solar-Hydro Electric Power System with Modified Real and Reactive Power Controls by Ram Prabhakar, J. and Ragavan, K.
Call-Level Performance Analysis of a Power Line Communication Network Under Disturbance
1Missouri Western State University
2Sun Yat-Sen University
Citation Information: International Journal of Emerging Electric Power Systems. Volume 12, Issue 3, ISSN (Online) 1553-779X, DOI: 10.2202/1553-779X.2732, June 2011
- Published Online:
Power line communication (PLC) is a promising technique for information transmission using existing power lines. We analytically model a finite-source PLC network subject to channel noise (disturbance) and evaluate its call-level performance through a queueing theoretic framework. The proposed PLC network model consists of a base station (BS), which is located at a transformer station and connected to the backbone communication networks, and a number of subscriber stations that are interconnected with each other and with the BS via the power line transmission medium. An orthogonal frequency division multiplexing based transmission technique is assumed to be used for providing the transmission channels in a frequency spectrum. The channels are subject to failure during service due to disturbance. We determine the steady-state solution of the proposed model and derive a set of performance metrics of interest. Numerical and simulation results are presented to show the derived metrics with respect to different system parameters. The proposed modeling method can be used for evaluation and design of future PLC networks.