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OPTIMUM PLACEMENT AND COST-BENEFIT ANALYSIS OF BATTERY ENERGY STORAGE SYSTEMS
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Thesis-HH-230222_R04.pdf
Date
2022-2-07
Author
Hökelek, İsmail Harun
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There are many challenges associated with the integration of Battery Energy Storage Systems (BESS) into the power system. Some of these challenges are determining the sizing of BESS and finding the optimum placement of these devices in the grid. The primary motivation of this study is to handle the placement and sizing problem of BESS. In the vast majority of studies, the optimum BESS locations have been found by calculating loss sensitivity factor (LSF) under peak load conditions. However, this approach will not give the optimum location of storage devices since it does not cover both the charging and discharging operation modes of BESS. To overcome this problem, a revised approach that considers both operation modes of battery has been performed, and this method is referred to as ΔLSF in this thesis. The ΔLSF method was implemented on three test systems, and the results were verified by load flow analysis. In addition, a cost-benefit analysis method has been applied to find the capacity and power ratings of BESS. In this study, placement and sizing methods are based on storing energy when the electricity market price is low and returning the stored energy to the grid during peak price hours to obtain financial savings. Grid losses reduction due to BESS operation has also been considered in savings. In the cost-benefit analysis, numerical calculation results were given to verify that the financial savings cover the investment cost of the battery. Simulations and analysis calculations have been implemented on MATLAB environment.
Subject Keywords
Battery Energy Storage Systems
,
Loss Sensitivity Factor
,
Optimum BESS Placement
,
Energy Trading
,
BESS Capacity Sizing
URI
https://hdl.handle.net/11511/96331
Collections
Graduate School of Natural and Applied Sciences, Thesis
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İ. H. Hökelek, “OPTIMUM PLACEMENT AND COST-BENEFIT ANALYSIS OF BATTERY ENERGY STORAGE SYSTEMS,” M.S. - Master of Science, Middle East Technical University, 2022.