Ceylan, Oğuzhan

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12469/6108
Name Variants
Oğuzhan Ceylan
CEYLAN, OĞUZHAN
Ceylan, OĞUZHAN
Ceylan, Oguzhan
CEYLAN, Oğuzhan
Ceylan,Oguzhan
Oğuzhan CEYLAN
OĞUZHAN CEYLAN
C., Oguzhan
Ceylan,O.
C.,Oguzhan
Oguzhan, Ceylan
C., Oğuzhan
Ceylan, Oğuzhan
Ceylan O.
Ceylan, O.
O. Ceylan
Ceylan, Oğuzhan
Ceylan, O?uzhan
Oguzhan, C.
Job Title
Doç. Dr.
Email Address
[email protected]
Main Affiliation
Management Information Systems
Management Information Systems
03. Faculty of Economics, Administrative and Social Sciences
01. Kadir Has University
Status
Current Staff
Website
ORCID ID
0000-0002-0892-6380
Scopus Author ID
26665865200
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

1

Research Products

10

REDUCED INEQUALITIES
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0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

0

Research Products

2

ZERO HUNGER
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0

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3

GOOD HEALTH AND WELL-BEING
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0

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13

CLIMATE ACTION
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1

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

37

Research Products

5

GENDER EQUALITY
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
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2

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

Research Products

4

QUALITY EDUCATION
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0

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

1

Research Products

1

NO POVERTY
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0

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

0

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

1

Research Products
Documents

110

Citations

1086

h-index

16

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This researcher does not have a WoS ID.
Scholarly Output

81

Articles

23

Views / Downloads

77/0

Supervised MSc Theses

3

Supervised PhD Theses

0

WoS Citation Count

453

Scopus Citation Count

714

WoS h-index

10

Scopus h-index

13

Patents

0

Projects

0

WoS Citations per Publication

5.59

Scopus Citations per Publication

8.81

Open Access Source

20

Supervised Theses

3

JournalCount
2021 56th International Universities Power Engineering Conference (Upec 2021): Powering Net Zero Emissions4
2025 60th International Universities Power Engineering Conference, UPEC 2025 -- 60th International Universities Power Engineering Conference, UPEC 2025 -- 2 September 2025 through 5 September 2025 -- London -- 2181513
2018 53rd International Universities Power Engineering Conference (UPEC)3
2019 54th International Universities Power Engineering Conference (UPEC)3
2020 55th International Universities Power Engineering Conference (UPEC)2
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Scholarly Output Search Results

Now showing 1 - 10 of 81
  • Thumbnail Image
    Conference Object
    Citation - WoS: 8
    Citation - Scopus: 12
    Allocation of Distributed Generators Using Parallel Grey Wolf Optimization
    (IEEE, 2021) Younesi, Soheil; Ahmadi, Bahman; Ceylan, Oguzhan; Ozdemir, Aydogan
    This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.
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    Conference Object
    Citation - Scopus: 1
    Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System
    (Institute of Electrical and Electronics Engineers Inc., 2023) Ahmadi,B.; Ceylan,O.; Ozdemir,A.
    This research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS. © 2023 IEEE.
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    Conference Object
    Citation - Scopus: 5
    Double Branch Outage Modeling and Its Solution Using Differential Evolution Method
    (2011) Ceylan, Oğuzhan; Ozdemir, Aydogan; Dağ, Hasan
    Power system operators need to check the system security by contingency analysis which requires power flow solutions repeatedly. AC power flow is computationally slow even for a moderately sized system. Thus fast and accurate outage models and approximated solutions have been developed. This paper adopts a single branch outage model to a double branch outage one. The final constrained optimization problem resulted from modeling is then solved by using differential evolution method. Simulation results for IEEE 30 and 118 bus test systems are presented and compared to those of full AC load flow in terms of solution accuracy. © 2011 IEEE.
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    Conference Object
    Citation - WoS: 8
    Citation - Scopus: 14
    Comparative Study of Active Power Curtailment Methods of Pvs for Preventing Overvoltage on Distribution Feeders
    (IEEE, 2018) Paudyal, Sumit; Bhattarai, Bishnu P.; Tonkoski, Reinaldo; Dahal, Sudarshan; Ceylan, Oğuzhan
    Overvoltage is one of the major issues on distribution grids with high penetration of photovoltaic (PV) generation. Overvoltage could be prevented through the control of active/reactive power of PVs. However given the high R/X ratio of low voltage feeders voltage control by using reactive power would not be as effective as using active power. Therefore active power curtailment (APC) of PVs though not desirable becomes necessary at times to prevent the overvoltage issues. Existing literature is rich in centralized and droop-based methods for APC and/or reactive power control of PVs to prevent overvoltage issues. In this context this paper revisits the most popular existing methods and evaluates the performance of droop-based and centralized methods using a typical North American 240 V low voltage feeder with 24 residential homes. In this work our key findings are: a) droop-based methods provided conservative solutions or did not eliminate the overvoltages completely b) power flow sensitivity based droop approach led to 13% more curtailment than the centralized approaches c) centralized approach had 40% less energy curtailed compared with standard droop while no overvoltages were observed and d) operating PVs at non-unity power factor in centralized approach led to 5% less energy curtailment.
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    Conference Object
    Citation - WoS: 6
    Citation - Scopus: 9
    Assessment of Harmonic Distortion on Distribution Feeders With Electric Vehicles and Residential Pvs
    (IEEE, 2017) Ceylan, Oğuzhan; Paudyal, Sumit; Dahal, Sudarshan; Karki, Nava R.
    Power-electronic interfacing based devices such as photovoltaic (PV) panels and electric vehicles (EVs) cause voltage/current harmonic distortions on the power grid. The harmonic current profiles from EVs and PVs depend on the design of the controllers integrated to the PV inverters and EV chargers. Similarly the voltage and current harmonic distortions on a grid change throughout the day as the PV output power number of grid connected EVs and the other load pattern change. In this context we present harmonic assessment to demonstrate cumulative effect of large number of EVs and PVs on a medium voltage distribution grid. We will demonstrate the case studies on the IEEE 123-node distribution feeder with 20% 50% and 100% PV and EV penetrations based on time series simulations carried out for an entire day.
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    Article
    Citation - Scopus: 2
    Optimization of Mode in Distribution Electrical Grid by Using Renewable Energy Sources for Rural Energy Supply
    (IAEME Publication, 2018) Shokolakova, Shinar K.; Keshuov, Seitkazy A.; Saukhimov, Almaz A.; Tokhtibakiev, Karmel K.; Ceylan, Oğuzhan; Shuvalova, Jelena
    Kazakhstan plans to support integration of renewable energy sources (RES). For instance according to [12] until 2020 it is planned to connect 53 RES with a total value of 2000 MW. From those 53 RES most of them will be located in rural areas and will be connected to electrical power distribution grid. Power losses is an important problem in Kazakhstan power systems and largest share of power losses are related to distribution system losses and are approximately 65 %. Using RES as distributed generators (DGs) in near future in order to reduce power losses may be one of the important tasks of Distribution System Operators (DSOs) of Kazakhstan. Approach of minimizing power losses may be applied by changing the injected/absorbed active and reactive powers at the points of DG connection [12]. This paper models the power losses optimization problem by using a recently developed heuristics based optimization model: Moth Flame Optimization (MFO). It solves the power loss minimization problem on a modified 33 bus electrical grid with DGS. © IAEME Publication
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    Conference Object
    Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms
    (IEEE, 2019) Ceylan, Oğuzhan; Taşkın, Gülşen
    Dimensionality reduction has been an active research topic in hyperspectral image analysis due to complexity and non-linearity of the hundreds of the spectral bands. Locality preserving projection (LPP) is a linear extension of the manifold learning and has been very effective in dimensionality reduction compared to linear methods. However, its performance heavily depends on construction of the graph affinity matrix, which has two parameters need to be optimized: k-nearest neighbor parameter and heat kernel parameter. These two parameters might be optimally chosen simply based on a grid search when using only one representative kernel parameter for all the features, but this solution is not feasible when considering a generalized heat kernel in construction the affinity matrix. In this paper, we propose to use heuristic methods, including harmony search (HS) and particle swarm optimization (PSO), in exploring the effects of the heat kernel parameters on embedding quality in terms of classification accuracy. The preliminary results obtained with the experiments on the hyperspectral images showed that HS performs better than PSO, and the heat kernel with multiple parameters achieves better performance than the isotropic kernel with single parameter.
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    Conference Object
    Citation - Scopus: 1
    Semi-Centralized Control of Distributed Generation in Smart Grids
    (IEEE, 2018) Ceylan, Oğuzhan; Pisica, Ioana; Paudyal, Sumit
    This paper proposes a semi-centralized intelligent control approach for voltage regulation in distribution grids based on sensitivity calculations. The model checks the voltage magnitudes of each end of each lateral in the system one by one then if any of these violates the allowed voltage magnitudes each node in a single lateral sends its reactive power capability and sensitivity information to the sensor located at the beginning node of that lateral. This information is sorted at the sensor and required voltage is computed and assigned to the bids one by one. This paper tests this approach on a modified 33 Node Distribution Test system with several renewable energy sources: photovoltaics (PVs) and wind turbines (WTs) and presents the numerical results based on a 15 minute resolution load data PV outputs and WT outputs.
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    Conference Object
    Citation - WoS: 2
    Citation - Scopus: 3
    Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering
    (Institute of Electrical and Electronics Engineers Inc., 2019) Yetkin, E. Fatih; Ceylan, Oğuzhan; Papadopoulos, Theofilos A.; Kazaki, Anastasia G.; Barzegkar-Ntovom, Georgios A.
    This paper proposes a methodology to characterize active and reactive power load profiles. Specifically, the approach makes use of fast Fourier Transform for conversion into frequency domain, principle component analysis to reduce the dimension and K-means++ to determine the representative load profiles. The data set consists of five-year measurements taken from the Democritus University of Thrace Campus. Test days were also classified as working and non-working. From the results it is observed that the proposed methodology determines representative load profiles effectively both regarding active and reactive power.
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    Article
    Armoni Araması Yöntemi ile Elektrik Dağıtım Sistemlerinin Yeniden Yapılandırılması: Elektrikli Araçların Etkisi
    (2019) Ceylan, Oğuzhan
    Bilindiği üzere son yirmi yılda elektrik güç sistemleri yoğun değişimler yaşamıştır. Elektrik piyasalarının yapısı değişmiş, tüm dünyada elektrik dağıtım sistemlerinde yenilenebilir enerji kaynaklarının ve elektrikli araçların (𝐸𝐴) kullanımı gün geçtikçe artmıştır. Pek çok ekonomik ve çevresel getirisi bulunan 𝐸𝐴’ların menzillerinin sınırlı olması, neredeyse her gün şarj edilmelerini gerektirmekte ve bu da elektrik güç sistemine ek yük getirmektedir. Bu çalışmada elektrik dağıtım sistemlerinde çok sayıda 𝐸𝐴 olması durumunda karşılaşılan gerilim problemleri ve kayıpları minimize etmek için yeniden yapılandırma yaklaşımı incelenmektedir. Eniyileme probleminin çözümü için armoni araması yöntemi (𝐴𝐴𝑌) kullanılmaktadır. Ortaya konan yaklaşımla, sistemde farklı sayıda 𝐸𝐴 ve dağıtık generatör olması durumları dikkate alınarak IEEE 33 bara test sisteminde çözülmekte ve ardından sonuçlara yer verilmektedir.