Abstract: This work proposes Random Power line Synthesis (RPLS) as a quicker computational approach to solving RLC parameters of a modern smart grid transmission network. Since modern grid systems provide a holistic perspective of modern grid development, it is obvious that a transmission network that is ageing cannot serve the expanded load demand. The need to revoltionalize the traditional transmission model while exploiting basic electrical theories and principles in Smart Grid (SG) architecture necessitated this paper. This work seeks to address the RLC parameter modelling for SG template to provision dynamic power in Nigerian context. Other schemes of transmission RLC modelling were studied as well as outlining their limitations. Consequently, we then proposed a fuzzy smart grid framework for RLC computation and developed a proposed SG overhead transmission line from its conductor characteristics and tower geometry considering the RLC parameters of the conductor while applying RPLS to generate the parameter metrics.

Ezennaya S.O, Udeze C. C, Okafor K .C, Onyedikachi S.N and Anierobi C.C, “Smart Grid Network Transmission Line RLC Modelling Using Random Power Line Synthesis Scheme” International Journal of Advanced Computer Science and Applications(IJACSA), 4(6), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040639

@article{S.O2013,
title = {Smart Grid Network Transmission Line RLC Modelling Using Random Power Line Synthesis Scheme},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040639},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040639},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {6},
author = {Ezennaya S.O and Udeze C. C and Okafor K .C and Onyedikachi S.N and Anierobi C.C}
}