TY - JOUR ID - 136966 TI - Provide an Approach to Reduce Computations in Power System Stability JO - Journal of Engineering in Industrial Research JA - JEIRES LA - en SN - 2783-3747 AU - Bozorgian, Alireza AD - Department of Chemical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran Y1 - 2022 PY - 2022 VL - 3 IS - 1 SP - 25 EP - 33 KW - Newton-Raphson Method KW - Dynamic stability of power system KW - Factorized Load flow KW - state estimation DO - 10.22034/jeires.2022.1.4 N2 - The dynamic stability problem is one of the challenges that is constantly being discussed in power systems. Meanwhile, one of the most important factors which will have a direct impact on its determination is the system state estimation. To monitor the stability of the power system, one of the determinative factors is the accuracy and speed of the state estimation equations’ input data. Therefore, in this paper, the Factorized Load Flow Method was used as a method for estimating input data of the system stability analysis. In this study, factorized load flow method was presented in full details in terms of theoretical relations and simulation results, and in order to prove its performance efficiency a comparison was made between its results with the results of the Newton-Raphson method. The conducted comparisons and investigations showed that the proposed method can determine the needed inputs for state estimation with high speed and precision. The proposed method was simulated using coding environment of MATLAB software and it was shown that this idea enjoyed an appropriate quality for reducing the computational complexity and increasing the accuracy and speed of state estimation. UR - https://www.jeires.com/article_136966.html L1 - https://www.jeires.com/article_136966_cfcb0eb192725decc316eaef307456e7.pdf ER -