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Dr. Gokturk Poyrazoglu
Electrical & Electronics Engineering Department, Ozyegin University, Istanbul 34794, Turkey

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Research Keywords & Expertise

0 Electricity Markets
0 Energy Storage
0 Optimization Models
0 smart operations
0 Electric vehicles & e-mobility

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Energy Storage
Optimization Models
Electric vehicles & e-mobility

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Journal article
Published: 23 March 2021 in Energy
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A stochastic value estimation tool serves as a planning tool with embedded modules for electrical and financial valuation of electric vehicle charging points. The tool is developed in stochastic nature for selected service and technology options. The tool is also valuable as a research tool to create a data set for a possible charging station with details of vehicle brands, state-of-charge at the arrival, charge duration, and waiting time. A case study for one of the biggest shopping malls in Istanbul, Turkey, where welcomes 350–400 electric vehicles per day is analyzed. The results are discussed on performance metrics such as the average waiting time in the queue, utilization of the station and each socket, profit, customer satisfaction, energy, and power consumption.

ACS Style

Gokturk Poyrazoglu; Elvin Coban. A stochastic value estimation tool for electric vehicle charging points. Energy 2021, 227, 120335 .

AMA Style

Gokturk Poyrazoglu, Elvin Coban. A stochastic value estimation tool for electric vehicle charging points. Energy. 2021; 227 ():120335.

Chicago/Turabian Style

Gokturk Poyrazoglu; Elvin Coban. 2021. "A stochastic value estimation tool for electric vehicle charging points." Energy 227, no. : 120335.

Journal article
Published: 15 February 2021 in Energies
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In the electricity market, different pricing models can be applied to increase market competitiveness. Different electricity systems use different market structures. Uniform marginal pricing, zonal marginal pricing, and nodal marginal pricing methods are commonly used market structures. For markets wishing to move from a uniform pricing structure to a more competitive zonal pricing structure, the determination of price zones is critical for achieving a competitive market that generates accurate price signals. Three different pricing zone detection algorithms are analyzed in this paper including the k-means clustering and queen/rook spatially constraint clustering. Finally, the results of a case study for the Turkish electricity system are shared to compare each method.

ACS Style

Gokturk Poyrazoglu. Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey. Energies 2021, 14, 1014 .

AMA Style

Gokturk Poyrazoglu. Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey. Energies. 2021; 14 (4):1014.

Chicago/Turabian Style

Gokturk Poyrazoglu. 2021. "Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey." Energies 14, no. 4: 1014.

Chapter
Published: 12 February 2020 in Nonlinear Systems and Complexity
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This chapter covers the fundamentals of energy economics by providing details of commonly used several optimization models such as economic dispatch, unit commitment, and optimal power flow. Later, various methods of energy storage modeling are defined. Finally, a two-stage optimization problem is introduced to support the development of nationwide energy storage policy. A case study with a complete data set for the power grid at Turkey is evaluated and the results are discussed in terms of effectiveness of the model.

ACS Style

Gokturk Poyrazoglu. Developing a Nationwide Energy Storage Policy by Optimal Size and Site Selection. Nonlinear Systems and Complexity 2020, 25 -49.

AMA Style

Gokturk Poyrazoglu. Developing a Nationwide Energy Storage Policy by Optimal Size and Site Selection. Nonlinear Systems and Complexity. 2020; ():25-49.

Chicago/Turabian Style

Gokturk Poyrazoglu. 2020. "Developing a Nationwide Energy Storage Policy by Optimal Size and Site Selection." Nonlinear Systems and Complexity , no. : 25-49.

Journal article
Published: 30 July 2019 in Energies
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Regular transmission maintenance is important to keep the infrastructure resilient and reliable. Delays providing on-time maintenance increase the forced outage rate of those assets, causing unexpected changes in the operating conditions and even catastrophic consequences, such as local blackouts. The current process of maintenance schedule is based on the transmission owners’ choice, with the final decision of system operator about the reliability. The requests are examined on a first-come, first-served basis, which means a regular maintenance request may be rejected, delaying the tasks that should be performed. To incorporate optimization knowledge into the transmission maintenance schedule, this study focuses on the co-optimization of maintenance scheduling and the production cost minimization. The mathematical model co-optimizes generation unit commitment and line maintenance scheduling while maintaining N-1 reliability criterion. Three case studies focusing on reliability, renewable energy delivery, and service efficiency are conducted leading up to 4% production cost savings as compared to the business-as-usual approach.

ACS Style

Gokturk Poyrazoglu; HyungSeon Oh; Oh. Co-Optimization of Transmission Maintenance Scheduling and Production Cost Minimization. Energies 2019, 12, 2931 .

AMA Style

Gokturk Poyrazoglu, HyungSeon Oh, Oh. Co-Optimization of Transmission Maintenance Scheduling and Production Cost Minimization. Energies. 2019; 12 (15):2931.

Chicago/Turabian Style

Gokturk Poyrazoglu; HyungSeon Oh; Oh. 2019. "Co-Optimization of Transmission Maintenance Scheduling and Production Cost Minimization." Energies 12, no. 15: 2931.

Conference paper
Published: 01 May 2016 in 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
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Harmonization of traditional education with computer-aided instruction is a trending method to achieve high standards in college level education. An online simulation is developed as a computer-aided instruction tool and added to curriculum for a power economics course. This simulation may provide engineering students with artificial energy market trading experience that allows for their participation within various `real world' economic market structures. To date no study has examined the impact of power market simulation on students' learning. The purpose of the present study is to fill this gap by examining the effects of simulation on various cognitive learning categories as defined by Bloom and Fink. 9 survey questions were specifically designed for this purpose by following previous studies' recommendations and avoiding the threat of bias. The self-evaluation survey responses showed that simulation has less impact on Synthesis and Caring than any other categories of learning. The findings and suggestions for educators to improve these categories are presented.

ACS Style

Gokturk Poyrazoglu; HyungSeon Oh. The impacts of electric power market simulation on engineering education. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2016, 1 -5.

AMA Style

Gokturk Poyrazoglu, HyungSeon Oh. The impacts of electric power market simulation on engineering education. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). 2016; ():1-5.

Chicago/Turabian Style

Gokturk Poyrazoglu; HyungSeon Oh. 2016. "The impacts of electric power market simulation on engineering education." 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) , no. : 1-5.

Conference paper
Published: 01 May 2016 in 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
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This paper introduces an application of transmission switching in centralized transmission line maintenance scheduling while minimizing total operation cost of the system. The proposed model includes power balance equalities, power generation limits, voltage magnitude limits, ramp-up and down limits, unit minimum up and downtime limits, and power flow limits, and it benefits transmission companies and central dispatcher in terms of lower operation cost. An optimization process is formulated in terms of Mixed Integer Linear Programming. The effectiveness of central outage scheduling is tested with an IEEE model system, and significant cost savings are observed with the proposed model in comparison to a Business-As-Usual model.

ACS Style

Gokturk Poyrazoglu; HyungSeon Oh. Scheduling maintenance for reliable transmission systems. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2016, 1 -5.

AMA Style

Gokturk Poyrazoglu, HyungSeon Oh. Scheduling maintenance for reliable transmission systems. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). 2016; ():1-5.

Chicago/Turabian Style

Gokturk Poyrazoglu; HyungSeon Oh. 2016. "Scheduling maintenance for reliable transmission systems." 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) , no. : 1-5.

Conference paper
Published: 01 May 2016 in 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
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Network reconfiguration problem has been studied in the literature for more than 20 years. In this study, we extend the problem with one of the today's challenges: integration of renewables at the distribution system level. First, the effect of network reconfiguration on the maximum service capability is examined in a case study. Next, an Optimal Power Flow problem in the form of Semi-Definite Programming is solved and we observe that, in contrast to general expectation, minimization of power loss and minimization of operation cost actually conflict with each other in network reconfiguration problem when renewables are integrated into the radial system. Multi-objective optimization approach is adopted to show all pareto optimal solutions of the problem. Necessity of uni-directional flow in distribution system is studied and a new policy for radial network is proposed to reduce wasted energy.

ACS Style

Gokturk Poyrazoglu. Impacts of rooftop solar panels on network reconfiguration problem. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2016, 1 -5.

AMA Style

Gokturk Poyrazoglu. Impacts of rooftop solar panels on network reconfiguration problem. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). 2016; ():1-5.

Chicago/Turabian Style

Gokturk Poyrazoglu. 2016. "Impacts of rooftop solar panels on network reconfiguration problem." 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) , no. : 1-5.

Conference paper
Published: 01 January 2016 in 2016 49th Hawaii International Conference on System Sciences (HICSS)
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The SMaRTS model, Scheduling Maintenance for Reliable Transmission Systems, is developed to schedule transmission line maintenance requests optimally and centrally at the central dispatcher (CD) level. The SMaRTS model promises up to 4% production cost savings by solely shifting the maintenance to an optimal time frame for the system. The model is developed to co-optimize generation unit commitment and transmission line outage coordination with N-1 reliability. The SMaRTS model is flexible enough to be converted to a security constrained unit commitment or to an optimal topology control problem, and its effectiveness is tested on a modified IEEE 30-bus system. The financial benefits of SMaRTS model are discussed in detail, and compared with those from Business-As-Usual (BU) model as adopted by the CDs.

ACS Style

Gokturk Poyrazoglu; HyungSeon Oh. A New Outage Coordination: SMaRTS Model. 2016 49th Hawaii International Conference on System Sciences (HICSS) 2016, 2298 -2306.

AMA Style

Gokturk Poyrazoglu, HyungSeon Oh. A New Outage Coordination: SMaRTS Model. 2016 49th Hawaii International Conference on System Sciences (HICSS). 2016; ():2298-2306.

Chicago/Turabian Style

Gokturk Poyrazoglu; HyungSeon Oh. 2016. "A New Outage Coordination: SMaRTS Model." 2016 49th Hawaii International Conference on System Sciences (HICSS) , no. : 2298-2306.

Journal article
Published: 15 January 2015 in IEEE Transactions on Power Systems
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In this paper, a novel solution method is proposed for the optimal topology control problem in AC framework with N-1 reliability. The resultant new topology of the proposed method is guaranteed to yield a better objective function value than the global solution of the problem with the original topology. In order to prove our statement, semi-definite programming relaxation is formulated to find a lower bound to the objective function value of the problem. The proposed method is favorable for parallelization to increase the computational efficiency, and the parallel computing flowchart is presented. Computational time of the algorithm for IEEE test cases is reported. An in-house power market simulator is developed to simulate a market environment complete with optimal topology control mechanism. Simulations held by participating human subjects are analyzed under the subtitles of the total operating cost, real power losses, and locational marginal price (LMP) variance. A simple example is illustrated to show that the resultant network topology may increase the real power losses while still providing a lower operating system cost than that of the original topology.

ACS Style

Gokturk Poyrazoglu; HyungSeon Oh. Optimal Topology Control With Physical Power Flow Constraints and N-1 Contingency Criterion. IEEE Transactions on Power Systems 2015, 30, 3063 -3071.

AMA Style

Gokturk Poyrazoglu, HyungSeon Oh. Optimal Topology Control With Physical Power Flow Constraints and N-1 Contingency Criterion. IEEE Transactions on Power Systems. 2015; 30 (6):3063-3071.

Chicago/Turabian Style

Gokturk Poyrazoglu; HyungSeon Oh. 2015. "Optimal Topology Control With Physical Power Flow Constraints and N-1 Contingency Criterion." IEEE Transactions on Power Systems 30, no. 6: 3063-3071.

Conference paper
Published: 01 January 2015 in 2015 48th Hawaii International Conference on System Sciences
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The purpose of this experimental study is to provide engineering students an energy trading experience in electricity market and to test a new topology control capability in a market with human participants. Students in electrical engineering department participated in repeated experiments using a developed in-house market-simulation software package. Proposed optimal topology control algorithm guarantees to find a better topology that meets at least the same N-1 contingency criterion and yields a better objective function value than the original topology does. A semi-definite programming solver is developed to find a lower bound for an optimal power flow problem. We observed a significant change in pricing when optimal topology control was employed. From direct exposure through participation and submitted reports, students were able to pick up on and intuitively understand how optimal transmission topology control method might yield the most favorable market results.

ACS Style

Gokturk Poyrazoglu; HyungSeon Oh; Poyrazoglu G.. Electric Power Market Experiments with Optimal Topology Control. 2015 48th Hawaii International Conference on System Sciences 2015, 2711 -2718.

AMA Style

Gokturk Poyrazoglu, HyungSeon Oh, Poyrazoglu G.. Electric Power Market Experiments with Optimal Topology Control. 2015 48th Hawaii International Conference on System Sciences. 2015; ():2711-2718.

Chicago/Turabian Style

Gokturk Poyrazoglu; HyungSeon Oh; Poyrazoglu G.. 2015. "Electric Power Market Experiments with Optimal Topology Control." 2015 48th Hawaii International Conference on System Sciences , no. : 2711-2718.

Conference paper
Published: 01 April 2014 in 2014 IEEE PES T&D Conference and Exposition
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Large-scale integration into a traditional distribution system of privately owned renewable energy sources, located at the point of load, promise to bring significant engineering and economic advantages to the system as a whole if several grand challenges can be overcome. This paper will first provide specific definitions for the terms distributed generator and feed-in tariff, emerging ideas that have not yet been rigorously defined. It will be shown that the integration of distributed generators into a traditional system present an opportunity to reduce bulk power flow and power loss, decrease the operating cost of the system, and increase equipment lifetime leading to greater overall system reliability. Furthermore, a case study on the integration of distributed generation will be discussed with the following primary result: a 5% reduction on the demand side may lead to a 7–15% reduction in locational marginal price.

ACS Style

Gokturk Poyrazoglu; Jennifer Zirnheld; Charles Hashem; Kevin Burke. Integration of solar technologies into the electric distribution system. 2014 IEEE PES T&D Conference and Exposition 2014, 1 -5.

AMA Style

Gokturk Poyrazoglu, Jennifer Zirnheld, Charles Hashem, Kevin Burke. Integration of solar technologies into the electric distribution system. 2014 IEEE PES T&D Conference and Exposition. 2014; ():1-5.

Chicago/Turabian Style

Gokturk Poyrazoglu; Jennifer Zirnheld; Charles Hashem; Kevin Burke. 2014. "Integration of solar technologies into the electric distribution system." 2014 IEEE PES T&D Conference and Exposition , no. : 1-5.

Proceedings article
Published: 01 January 2012 in Power and Energy Systems and Applications
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ACS Style

Gokturk Poyrazoglu; Jennifer L. Zirnheld; Kevin M. Burke. Determination of Appropriate Target Audience for Distributed Solar Generation among US Residential and Commercial Customers. Power and Energy Systems and Applications 2012, 1 .

AMA Style

Gokturk Poyrazoglu, Jennifer L. Zirnheld, Kevin M. Burke. Determination of Appropriate Target Audience for Distributed Solar Generation among US Residential and Commercial Customers. Power and Energy Systems and Applications. 2012; ():1.

Chicago/Turabian Style

Gokturk Poyrazoglu; Jennifer L. Zirnheld; Kevin M. Burke. 2012. "Determination of Appropriate Target Audience for Distributed Solar Generation among US Residential and Commercial Customers." Power and Energy Systems and Applications , no. : 1.