Planning of Energy Storage Systems in the Restructured Environment by Considering Uncertainties

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Barkom, Ehsan | 2019

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 52896 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Ehsan, Mahdi
Abstract:
Energy storage is a pivotal technology to dealing with increasing demand for reliability and challenges of renewable energy integration. This thesis provides a benders decomposition framework for expansion studies of energy storage systems (ESSs) in high wind penetrated power system and uncertainties of wind farms expansion and wind speed. This work proposes probabilistic and robust approaches to determine the optimal location and size of storage devices to reduse wind curtailment. The proposed methodologies are implemented on the modified IEEE 73-bus test system and their anticipated applicability are compared to each other and well verified
Keywords:
Wind Power Curtailment ; Energy Storage System ; Uncertainty ; Benders Decomposition ; Energy Demand ; Wind Farms

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