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Abhishek Khanna deleted file 1 Introduction.tex
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\section{Introduction}
Edward tufte’s work in visualization laid down basic principles of effective visualization as foundation to all visual design\cite{Arlinghaus_1991}\cite{Miller_1991}\cite{Arnold_1998}[2][3]. In mid 90s, The authors of [4] specifies three key to effective visual representation i.e. (i) Natural encoding of information; (ii) Task specific graphics; (iii) No gratuitous graphics. There were proposed researches to improve one line diagrams into visually informative, Dr. Thomas Overbye and his collaborators making significant contribution for improvement in one line diagram [5]. The contour plot is further enhanced to visualize variety of data, such as power flows in transmission lines[6], location marginal prices[7], contingency analysis[8], third dimension to visualize various data[9]; the foundation of all these visualization is one line diagram.
Major drawback in each of the foregoing works is that the nodal positions remain arbitrary and exhibit no meaningful “natural encoding”. Some of the proposed researches explain the algorithm for bus positioning but none of these methods locate position nodes in a plot which is electrically meaningful. Visual presentation of any two nodes with a size variance are likely to be perceived as change in their values and if plotted in close proximity then it’s perceived as in the same group or cluster [10]. This paper illustrates different methods and explains the effects of graph layout on human sociogram perception. Random positioning of nodes to layout a simplified one line diagram may generate a wrong impression like low centrality node as a center node or an isolated sub network as a well-connected network.
This paper re-engineers power system network for a new methodology by scaling the branch which corresponds to its admittance. One of the methodologies is “Force Directed layout algorithm and Edge weighted spring embedded layout” which can generate electrically meaningful layout of power system network [11][12][13]. In [11][13], This paper proposes a fast convergence with high quality assurance of layout significantly. In [12], this paper introduces an edge length proportional to weight on the graph edges.
