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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۸، شماره ۴، صفحات ۲۴۲۹-۲۴۲۹
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عنوان انگلیسی Loss Reduction in Distribution Networks With DG Units by Correlating Taguchi Method and Genetic Algorithm
چکیده انگلیسی مقاله Optimal power flow is an essential tool in the study of power systems. Distributed generation sources increase network uncertainties due to their random behavior, so the optimal power flow is no longer responsive and the probabilistic optimal power flow must be used. This paper presents a probabilistic optimal power flow algorithm using the Taguchi method based on orthogonal arrays and genetic algorithms. This method can apply correlations and is validated by simulation experiments in the IEEE 30-bus network. The test results of this method are compared with the Monte Carlo simulation results and the two-point estimation method. The purpose of this paper is to reduce the losses of the entire IEEE 30-bus network. The accuracy and efficiency of the proposed Taguchi correlation method and the genetic algorithm are confirmed by comparison with the Monte Carlo simulation and the two-point estimation method. Finally, with this method, we see a reduction of 5.5 MW of losses.
کلیدواژه‌های انگلیسی مقاله Correlation, Distributed Generation, Distribution Networks, Orthogonal Arrays, Probabilistic Optimal Power Flow, Taguchi Method.
نویسندگان مقاله | M. Najjarpour
Department of Electrical Engineering, Urmia University, Urmia, Iran.


| B. Tousi
Department of Electrical Engineering, Urmia University, Urmia, Iran.


| S. Jamali
Electrical Engineering Faculty, Iran University of Science and Technology (IUST), Tehran, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-4208-2&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Optimal Power Flow
نوع مقاله منتشر شده Research Paper
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