Smart Grid Network Transmission Line RLC Modelling Using Random Power Line Synthesis Scheme
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 6
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.
Authors and Affiliations
Ezennaya S. O, Udeze C. C, Okafor K . C, Onyedikachi S. N, Anierobi C. C
Keywords
Related Articles
- EP ID EP93361
- DOI 10.14569/IJACSA.2013.040639
- Views 101
- Downloads 0
A Survey on Resource Allocation Strategies in Cloud Computing
Cloud computing has become a new age technology that has got huge potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere. Companies are able to rent re...
Modeling Access Control Policy of a Social Network
Social networks bring together users in a virtual platform and offer them the ability to share -within the Community- personal and professional information’s, photos, etc. which are sometimes sensitive. Although, the maj...
A Rich Feature-based Kernel Approach for Drug- Drug Interaction Extraction
Discovering drug-drug interactions (DDIs) is a crucial issue for both patient safety and health care cost control. Developing text mining techniques for identifying DDIs has attracted a great deal of attention in the las...
Automated Imaging System for Pigmented Skin Lesion Diagnosis
Through the study of pigmented skin lesions risk factors, the appearance of malignant melanoma turns the anomalous occurrence of these lesions to annoying sign. The difficulty of differentiation between malignant melanom...
A Comparative Study of Databases with Different Methods of Internal Data Management
The purpose of this paper is to present a comparative study between a non-relational MongoDB database and a relational Microsoft SQL Server database in the case of an unstructured representation of data, in XML or JSON f...