Browsing by Author "OSMAN DEMIRCI"

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    Development of a control algorithm and conditioning monitoring for peak load\rbalancing in smart grids with battery energy storage system
    (2022) Ibrahim Sengor; TURHAN ATICI; Macit Tozak; SEZAI TASKIN; OSMAN DEMIRCI
    As the traditional electricity grid transitions to the smart grid (SG), some emerging issues such as increased renewable energy penetration in the power system that cause load unbalances require new control methods. Storage of energy seems to be the best option to struggle with such issues. In this manner, energy storage technologies ensure the operating flexibility of the distribution system operator in the power system in terms of both sustainability of energy and peak load balancing. In this study, a grid condition monitoring user-interface and control algorithm is developed for the peak load reduction and supply-demand balancing in a SG system by using an energy storage unit. For this purpose, a battery energy storage system (BESS) is designed, scaled and integrated into the SG didactic test system, designed by the De Lorenzo Company. Online grid condition monitoring and control software is developed for gridconnected photovoltaic (PV) system and the BESS in the LabVIEW™ program. Moreover, an algorithm is developed that provides the conditions for the integration of the BESS into the system. The proposed algorithm is tested with real daily load data of the Manisa province in Turkey. Also, various case studies are performed to validate the effectiveness of the algorithm. Consequently, the proposed algorithm provides an average load factor improvement of 8.46% and the algorithm-controlled BESS increases the revenue of the system by 3.51% compared to the grid-connected PV system alone.
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    Analyzing Peak Clipping for Load Factor Improvement: Real Case Studies of a Solar Power Plant in a University Campus
    (2023) OSMAN DEMIRCI; EMIR KAAN TUTUS; SEZAI TASKIN; Gökhan ÇETİN; Macit Tozak
    The increasing demand for sustainable energy solutions has sparked a growing interest in solar power plants (SPPs) as a viable option for reducing reliance on conventional energy sources. With the integration of SPP, the potential arises for a decrease in grid dependency during the day and improved stability in demand-side load profiles. To enhance the contribution of SPP toward sustainable energy solutions, it is crucial to explore effective load management strate- gies, including peak clipping. This paper investigates peak clipping as one of the demand-side management (DSM) techniques facilitated by SPP. The objective of this study is to provide comprehensive insights into the practical application of peak clipping techniques and their impact on improving the load factor (LF). To achieve this objective, the analysis in this study utilizes real data derived from an operational SPP located in the central campus of Manisa Celal Bayar University. To evaluate the impact of SPP on peak clipping and LF, a series of diverse case studies which encompass a range of campus scenarios are undertaken. The aim is to thoroughly analyze and understand how SPP systems affect peak clipping and LF under different circumstances. The analysis reveals significant improve- ments in LF resulting from the integration of the SPP, ranging from 1.04% to 10.62%. Results show that transition to online education and reduced campus population positively impacted LF during coronavirus disease 2019 compared to pre-pandemic times. These findings align with the dynamics of the campus lifestyle and underscore the favorable effects of these factors on LF.