Erdoğan, Nuh

Profile URL
https://hdl.handle.net/20.500.14411/8260
Name Variants
Nuh, Erdoğan Erdogan, Nuh N.,Erdoğan E., Nuh Erdoğan, Nuh N., Erdogan Erdoğan,N. E.,Nuh Erdogan,N. N.,Erdogan Nuh, Erdogan
Job Title
Doktor Öğretim Üyesi
Email Address
Main Affiliation
Department of Electrical & Electronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
No research topics data found.

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
3
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
No records found in other affiliations.
Scholarly Output

3

Articles

1

Views / Downloads

1/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

3

Scopus Citation Count

5

Patents

0

Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.67

Open Access Source

1

Supervised Theses

0

JournalCount
2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings -- 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 -- 7 December 2016 through 9 December 2016 -- Washington -- 1274451
IEEE Global Conference on Signal and Information Processing (GlobalSIP) -- DEC 07-09, 2016 -- Washington, DC1
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2015 - 20163

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Author of Publication: search.filters.isAuthorOfPublication.14d023bb-80ab-4b02-8a24-06db4cd9c191

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Conference Object
    A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand
    (Ieee, 2016) Kisacikoglu, Mithat C.; Erden, Faith; Erdogan, Nuh
    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.
  • Conference Object
    Citation - Scopus: 1
    A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand
    (Institute of Electrical and Electronics Engineers Inc., 2016-12) Kisacikoglu,M.C.; Erden,F.; Erdogan,N.
    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.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    An Improved Methodology for Dynamic Modelling and Simulation of Electromechanically Coupled Drive Systems: An Experimental Validation
    (Springer india, 2015-10) Erdogan, Nuh; Henao, Humberto; Grisel, Richard
    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.