Browsing by Author "Sancar, Semanur"

Now showing 1 - 9 of 9

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Consumer, producer, and prosumer based mathematical models for optimal energy storage sizing
(IEEE, 2022) Sancar, Semanur; Poyrazoğlu, Göktürk; Electrical & Electronics Engineering; POYRAZOĞLU, Göktürk; Sancar, Semanur
Energy storage technologies are getting more attention by the increased number of discussions on energy supply security, grid resiliency, and increased flexibility. While lots of studies showed the advantages and disadvantages of energy storage systems for various use cases, very few have studied the storage unit sizing for best results. This study aims to present mathematical models for three critical roles in the grid: consumer, producer, and prosumer. Moreover, the solutions of the models for the actual test cases are analyzed and discussed to further deliver the significance of such a study.
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Digital data integration project between a DSO and a university for sustainability and efficiency
(IEEE, 2022) Kartcı, Emin; Akkus, E. E.; Sancar, Semanur; Bugdayci, T. A.; Bektas, M.; Poyrazoğlu, Göktürk; Electrical & Electronics Engineering; POYRAZOĞLU, Göktürk; Kartcı, Emin; Sancar, Semanur
Digitization in the energy sector enables big data analysis that can lead to large-scale energy efficiency due to the size of the sector and thus getting closer to sustainability targets. With a digital data integration study between a distribution company and a university in Turkey for big data processing, the data collected by IoT devices from 6,000 active transformers providing service in 5 cities were transferred to different servers together with the developed communication protocols. As a result of the project, the transformer efficiency and sustainability measures were produced. In this study, the mutually established software infrastructure and the benefits of the project are explained.
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Modeling battery sizing optimization algorithms for various use cases
Sancar, Semanur; Poyrazoğlu, Göktürk; Poyrazoğlu, Göktürk; Göktürk, Elvin Çoban; Erdinç, O.; Department of Electrical and Electronics Engineering; Sancar, Semanur
Battery energy storage systems (BESS) increase energy controllability and grid flexibility. One of the most important issues in BESS investments is optimal BESS sizing for various needs. In this thesis, it is aimed to develop an optimal battery sizing methodology for the consumer, producer and prosumer. By using Mixed-Integer Linear Programming and Mixed-Integer Quadratic Programming methods, optimal battery sizing algorithms that can be used by all end-user types for different purposes were developed. The advantage of this mathematical modeling is that it can be adapted for different scenario constraints with minor modifications. Various estimation algorithms were used to get more realistic results from the optimization algorithms for the future. Artificial neural network (ANN), deep neural network (DNN), and Long-Short Term Memory models were used to predict generation, consumption, and electricity market data. The importance of estimation algorithms in the smart grid ecosystem was emphasized and it was aimed to predict the needs for the future. Prediction methods and optimization algorithms were developed in the Python environment. Pandas, numpy, sklearn, keras, cvxpy libraries were actively used. It is hoped that it will be beneficial for the investments to be made within the scope of the smart grid concept.
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Optimal battery sizing & dispatch model for transformer loss reduction: A new local servicb
(IEEE, 2022) Sancar, Semanur; Kartcı, Emin; Poyrazoğlu, Göktürk; Electrical & Electronics Engineering; POYRAZOĞLU, Göktürk; Sancar, Semanur; Kartcı, Emin
The possible services of batteries are expanding within the scope of transforming electricity networks. In this study, the potential of batteries to increase transformer efficiency is revealed. It is aimed to maximize the transformer efficiency depending on the demand and the installed power of the transformer. Based on this aim, optimization algorithms that can decide on the optimal battery size are developed. The daily charge-discharge cycle of the battery within the scope of transformer efficiency is explained. According to the pilot site studies carried out, up to 22% efficiency increase potential is discovered in a transformer with the battery. Considering this potential, the use of batteries to support transformer efficiency is recommended as a new local service concept.
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Optimal battery sizing & dispatch model for transformer loss reduction: A new local service
(IEEE, 2022) Sancar, Semanur; Kartcı, Emin; Poyrazoğlu, Göktürk; Electrical & Electronics Engineering; POYRAZOĞLU, Göktürk; Sancar, Semanur; Kartcı, Emin
The possible services of batteries are expanding within the scope of transforming electricity networks. In this study, the potential of batteries to increase transformer efficiency is revealed. It is aimed to maximize the transformer efficiency depending on the demand and the installed power of the transformer. Based on this aim, optimization algorithms that can decide on the optimal battery size are developed. The daily charge-discharge cycle of the battery within the scope of transformer efficiency is explained. According to the pilot site studies carried out, up to 22% efficiency increase potential is discovered in a transformer with the battery. Considering this potential, the use of batteries to support transformer efficiency is recommended as a new local service concept.
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Post-event resiliency-driven strategy dispatching mobile power sources considering transportation system constraints
(IEEE, 2021) Erenoglu, A. K.; Erdinc, O.; Sancar, Semanur; Catalao, J. P. S.; Sancar, Semanur
In this paper, a post-event restoration framework for distribution system in response to high impact low probable events is presented. The mobile emergency generators and mobile energy storage systems are considered for grid-support services in order to boost the system performance by supplying load demands, weighted by their priority. The restoration strategy of repair crew is dispatched in a deterministic way and the coordinated operation is performed with mobile power sources for picking up lost loads as soon as possible. Also, the transportation system constraints are integrated into the restoration tools for obtaining more realistic results while directing mobile power sources from staging locations to the damaged areas. A mixed integer linear programing (MILP)-based scheme is performed on a modified version of the 10-bus test system with different case studies for illustrating the capabilities of the model implemented in the PuLP 1.6.8 open source library of Python 2.7 version, solved by CPLEX solver.
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Reassessment of bill management by batteries with various TOU tariffs: A pilot project from Turkey
(IEEE, 2022) Çetin, A.; Sancar, Semanur; Bayatmakoo, A.; Kaya, K.; Ozen, C.; Poyrazoğlu, Göktürk; Electrical & Electronics Engineering; POYRAZOĞLU, Göktürk; Sancar, Semanur
Yesilirmak Distribution System Operator, one of Turkey's leading distribution system operators, carried out a pilot project with the support of the university in order to be technically ready when its customers want to manage their bills through batteries and to understand the challenges and benefits of batteries in the network operation. This study describes the creation of the electrical connection diagram of the battery, the completion of the financial analysis under different tariffs, and the development of a mathematical model for bill management optimization at the planning stage of the pilot project, which was completed based on the prediction that the behind-the-meter batteries will increase in the near future. While energy storage systems change the grid consumption curves of customers by Time-of-Use (TOU) tariffs, they also provide a certain amount of savings in bills.
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Rethinking temporal demand data to reduce distribution transformer losses: A case study from a Turkish DSO
(IEEE, 2021) Sancar, Semanur; Kartci, Emin; Poyrazoğlu, Göktürk; Electrical & Electronics Engineering; POYRAZOĞLU, Göktürk; Sancar, Semanur; Kartci, Emin
With the increase in digital measurement and monitoring devices in the Turkish electricity grid, the possibilities of processing the obtained data and revealing meaningful information are also increasing. In this project, an optimization study is carried out on optimal sizing of transformers by using sub-hourly historical load data collected from transformers. In the study on transformer efficiency based on the regulations renewed in the last 10 years in Turkey, the core and copper losses of the transformers are estimated based on historical data, and the efficiency increase that would be provided in case of renewal of the transformers is calculated. According to the results obtained, it is predicted that transformer losses can be reduced by 50% and annual savings of approximately 1 kWh can be achieved for each dollar invested.
Open Access
A topological o opological overview of micr view of microgrids: fr ogrids: from maturity t om maturity to the futur o the future
(TÜBİTAK, 2021) Erenoğlu, A. K.; Sancar, Semanur; Erdinç, O.; Bağrıyanık, M.; Sancar, Semanur
The concept of microgrid (MG) has attracted great attention from the system operators for increasing operational effectiveness as well as providing more reliable, sustainable and economic power system. In this paper, a comprehensive investigation is presented to shine new light on evaluating changes in MG operation from maturity to the future. A great deal of literature studies consisting of the traditional MG architecture, encountered challenges and proposed solutions for overcoming them are all examined in detail. Also, the impact of highly integrated renewable-based energy sources into the power system is analysed by current studies. Moreover, modern MG architecture is extensively investigated from the point of operational flexibility such as energy storage systems (ESSs), combined structure of networked-MGs (NMGs) and demand-side management (DSM). Furthermore, incorporating MG architecture as a gridsupport service in power system resiliency enhancement strategies is investigated with current literature studies. As a result of this detail investigation, it can be deduced that the power system has witnessed radically new changes and outstanding developments in both generation and consumption side. Renewable power sources have been accepted as the major mile stone in the harnessing electricity and there have a strong trend towards penetrating these types of generation units in MG structure. On the other hand, increased concerns about safety problems and challenges in MG have triggered a huge amount of discussions in the literature.