Volume 20, Issue 1 (March 2024)                   IJEEE 2024, 20(1): 119-129 | Back to browse issues page

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Najjarpour M, Tousi B, Yazdandoust Moghanlou S. Voltage Error Decreasing of Power Systems by State Estimation Strategy in the Presence of DG Units Using the Improved Taguchi Method and Phasor Measurement Unit. IJEEE 2024; 20 (1) :119-129
URL: http://ijeee.iust.ac.ir/article-1-3145-en.html
Abstract:   (551 Views)
In recent decades, because of the rapid population growth of the world, considerable changes in climate, the reduction of fossil fuel sources to consume the traditional power plants and their high depreciation, and the increase in fuel prices.  Due to the increased penetration of DG units which have a random nature into the power system, the ordinary equations of power flow must be changed. For the power system to operate in a stable condition estimating future demand and calculating the important and operational indexes such as losses of the power system is an important duty that must be done precisely and rapidly. In this paper, the Improved Taguchi method and phasor measurement unit are used to model the uncertainties of DGs and estimate the error of voltage, respectively. The results show that the magnitude error and the angle error of voltage are decreased using PMU. The applied optimal power flow and state estimations are analyzed and verified using standard IEEE 30-bus and 14-bus test power systems by MATLAB, and MINITAB softwares. The Made Strides Taguchi strategy appears to have modeled the DG units precisely and successfully, and using the PMU, the mistake of the point and greatness estimation is exceptionally moot. The values that were evaluated are very close to the values that were done by the Newton-Raphson stack stream.
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Type of Study: Research Paper | Subject: Distributed Generation/Integration of Renewables
Received: 2023/12/13 | Revised: 2024/05/13 | Accepted: 2024/02/18

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.