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The Electric Power System State Estimation problem involves large sparse matrices. The Jacobian matrix is highly sparse in nature and the computational efforts can be enhanced by avoiding arithmetic operations resulting in 'zero'. The researchers have introduced sparse matrix techniques so as to store only non-zero elements of the matrix and thereby reducing the huge dynamic memory requirements, which intern reduce the computational time. A few such techniques This paper elaborates a different technique to obtain the "effective operation" with the focus on the computational time and the storage space reduction. The "effective operation" can be achieved without applying conventional compact storage techniques to find the Jacobian product. A different style for multiplication of two large sparse Jacobian matrices is adopted to obtain this novel approach. As a result, computational time is reduced and also Jacobian array size is reduced form two dimensional array to single dimensional array. The solution gives scope for distributed/parallel computing without disturbing the network structure [6].

Keywords:SE e state estimation WLS e weighted Least Square NR e NewtoneRaphson ISE e integrated state estimation JPSE e Jacobian Parallel-State Estimation VDSE e vertically divided state estimation NA e node area e a node along with its connected node is referred as node area SNSE e selected node state estimation a b s t r a c t Power system state estimation is very important analysis both for off-line and online purposes. Solving the non-linear large power system equations by iterative solution consumes huge computational time and memory. This paper presents a unique technique to divide the Gain matrix/Jacobian products of the large system into smaller independent Jacobian products at each node area on an imaginary plan. The Jacobian product can be represented in three dimensional form having 'm'-two dimensional layer arranged on the third axis, where 'm' is the total number of system measurements taken. The method of dividing the three dimensional view of Jacobian product from vertically downward is termed as "Vertical Division" technique. The fact is, in any electrical power system, the state of a bus/node depends on the power flow between the neighboring (connected) node/bus. This logic is applied to solve the state estimation which resulted in "Vertical Division" technique for Power system state estimation. In this technique the measurements are grouped and processed independently corresponding to respective Node. The two main focus of this paper is, 1) to evaluate its mathematical formulations and validate its results with standard, established Integrated State Estimation (ISE) technique, and 2) to demonstrate the computational time advantage of Vertical Division technique. The approach is tested on 13 and 30 bus test system for integrated state estimation along with Vertical Division technique and the results are encouraging.

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