Power system Vertical Division State Estimation (VDSE) – A parallel processing technique

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

Node Level ANN technique for Real Time Power System State estimation

ail.com Abstract:- The growth of modern power system is phenomenal. The increasing demand for quality energy for various purposes, initiated both business and technological transformation. Today’s modern hybrid power system is on the lookout of complete SCADA implementation for better, reliable, efficient energy system. The major challenging task here is to solve complicated, non-linear system equations of large power system in very short interval of time. Because the control and security of the power system is being the highest priority and the real time solutions should yield results in mili-second to multi seconds for appropriate implementation. In any SCADA based Energy management system (EMS), real time state estimation is very essential. The conventional state estimation solutions (like NR method) are being slow, many researchers have worked on predictive solutions like AI, tracking, ANN etc. However, the compromise in mathematical modeling for the sake of fast computing is really not acceptable looking at the importance of the power system. This paper suggests a robust ANN solution which is derived from the intelligent relation observed in the problem domain. Its very complicated to apply ANN to the large power system having hundreds of buses/nodes. The question here is “how to split the network in to smaller network?”. Again physical division of the network will result in compromise in it’s mathematical model. Hence, a hypothetical division is formed based on the connectivity of the node. This is achieved by two level hybrid techniques. First considering each node as an independent entity along with it