Changes in the system loads require the systems to be adjusted accordingly which would make the entire system to be dynamic. As the system undergoes continuous changes, the operator needs to be in extreme alert to make real-time decisions. The Newton-Raphson power flow approach, which utilizes the bus admittance matrix, remains among the most efficient and common ways for obtaining a low-power solution. Elements of the Jacobian matrix are calculated using conventional equations with no physical significance. In this paper, the computational time is discussed in terms of dynamic input changes and stress conditions. The conventional Weighted Least Square (WLS) method and modified Jacobian WLS (M–JWLS) has been tested on 4 different bus systems which are IEEE 14–bus system, IEEE 30–bus system, IEEE 57–bus system and IEEE 118-bus system. This research is expected to provide a data validation indicator for the research continuation.

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Modification of Jacobian Matrix Computational Analysis for Dynamic State Estimation

  • Nurul Fauzana Binti Imran Gulcharan,
  • Ir. Nursyarizal Bin Mohd Nor,
  • Ir. Mohd Aizuddin Firdaus Bin Mohmad Hamim

摘要

Changes in the system loads require the systems to be adjusted accordingly which would make the entire system to be dynamic. As the system undergoes continuous changes, the operator needs to be in extreme alert to make real-time decisions. The Newton-Raphson power flow approach, which utilizes the bus admittance matrix, remains among the most efficient and common ways for obtaining a low-power solution. Elements of the Jacobian matrix are calculated using conventional equations with no physical significance. In this paper, the computational time is discussed in terms of dynamic input changes and stress conditions. The conventional Weighted Least Square (WLS) method and modified Jacobian WLS (M–JWLS) has been tested on 4 different bus systems which are IEEE 14–bus system, IEEE 30–bus system, IEEE 57–bus system and IEEE 118-bus system. This research is expected to provide a data validation indicator for the research continuation.