Výsledky vyhledávání - "Sina Khajeh Ahmad Attari"

Notice of Violation of IEEE Publication Principles: Pareto optimal reconfiguration of power distribution systems with load uncertainty and recloser placement simultaneously using a genetic algorithm based on NSGA-II

Autor: Mahmoud Reza Shakarami, Ebrahim Sharifi Pour, Sina Khajeh Ahmad Attari

Publikováno v: 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC).

Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. Besides, reclosers use to eliminate transien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e56eae293fc466857a31388fc1f238f0
https://doi.org/10.1109/epdc.2016.7514781

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A Novel Method Based on Teaching-Learning-Based Optimization for Recloser Placement with Load Model Consideration in Distribution System

Autor: Sina Khajeh Ahmad Attari, Mahmoud Reza Shakarami, Farhad Namdari, Mohammad Bakhshipour

Publikováno v: Indonesian Journal of Electrical Engineering and Computer Science. 2:1

This paper proposed a novel technique based on teaching-learning-based optimization (TLBO) algorithm in order to find optimal placement of reclosers in the distribution networks which is applied to improve reliability. Reclosers use to eliminate tran

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c5c81e3d5d63261d3f146e81652dc01
https://doi.org/10.11591/ijeecs.v2.i1.pp1-10

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A Comprehensive Study on Specifying an Intelligent Approach to Solve Network Reconfiguration Problem

Autor: Mahmoud Reza Shakarami, Farhad Namdari, Sina Khajeh Ahmad Attari

Publikováno v: Indonesian Journal of Electrical Engineering and Computer Science. 1:480

This paper presents an approach based on biogeography-based optimization (BBO) algorithm to solve the distribution network reconfiguration (DNR) problem for minimizing active power loss. Also it is demonstrated that with considering the nature of rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d9353eb77ad4eb97f56a5f8c28236111
https://doi.org/10.11591/ijeecs.v1.i3.pp480-489

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Pareto Optimal Reconfiguration of Power Distribution Systems with Load Uncertainty and Recloser Placement Simultaneousely Using a Genetic Algorithm Based on NSGA-II

Autor: Mahmoud rReza Shakarami, Sina Khajeh Ahmad Attari, Farhad Namdari

Publikováno v: Indonesian Journal of Electrical Engineering and Computer Science. 1:419

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98b5220736e9704a7988e39a0dc15083
https://doi.org/10.11591/ijeecs.v1.i3.pp419-430

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