Erdoğan, Nuh

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Nuh, Erdoğan
Erdogan, Nuh
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E., Nuh
Erdoğan, Nuh
N., Erdogan
Erdoğan,N.
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N.,Erdogan
Nuh, Erdogan
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Doktor Öğretim Üyesi
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Scholarly Output

2

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1

Citation Count

4

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2015 - 20172
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Now showing 1 - 2 of 2
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    Article
    Citation Count: 3
    An improved methodology for dynamic modelling and simulation of electromechanically coupled drive systems: An experimental validation
    (Springer india, 2015) Erdoğan, Nuh; Henao, Humberto; Grisel, Richard; Department of Electrical & Electronics Engineering
    The complexity of electromechanical coupling drive system (ECDS)s, specifically electrical drive systems, makes studying them in their entirety challenging since they consist of elements of diverse nature, i.e. electric, electronics and mechanics. This presents a real struggle to the engineers who want to design and implement such systems with high performance, efficiency and reliability. For this purpose, engineers need a tool capable of modelling and/or simulating components of diverse nature within the ECDS. However, a majority of the available tools are limited in their capacity to describe the characteristics of such components sufficiently. To overcome this difficulty, this paper first proposes an improved methodology of modelling and simulation for ECDS. The approach is based on using domain-based simulators individually, namely electric and mechanic part simulators and also integrating them with a co-simulation. As for the modelling of the drive machine, a finely tuned dynamic model is developed by taking the saturation effect into account. In order to validate the developed model as well as the proposed methodology, an industrial ECDS is tested experimentally. Later, both the experimental and simulation results are compared to prove the accuracy of the developed model and the relevance of the proposed methodology.
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    Conference Object
    Citation Count: 1
    A distributed smart PEV charging algorithm based on forecasted mobility energy demand
    (Institute of Electrical and Electronics Engineers Inc., 2017) Erden, Fatih; Erdoğan, Nuh; Erdogan,N.; Department of Electrical & Electronics Engineering
    This study proposes a new distributed control strategy for the grid integration of plug-in electric vehicles. The proposed strategy consists of two stages: (i) an offline process to determine an aggregated reference charge power level based on mobility estimation and base load profile, and (ii) a real-time operation based on the distributed control approach. The control algorithm manages PEV charge load profiles in order to flatten the residential distribution transformer loading while ensuring the desired state of the charge (SOC) level. The proposed algorithm is tested on real distribution transformer loading data, and compared with heuristic charging scenarios. The numerical results are presented to demonstrate the impact of the proposed algorithm. © 2016 IEEE.