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A Quantitative Analysis on the Paremeters Affecting the Smart Grid Transformation in Generation, Transmission and Distribution of Electricity in Turkey
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Date
2024-8
Author
Uğuz, Mustafa
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The increasing world population has led to a significant rise in electricity demand, which traditional grids cannot meet. In response, the smart grid offers a promising solution to many issues within the existing electricity infrastructure. By integrating various information systems and technologies, the smart grid provides more efficient, cleaner, more reliable and cost-effective electrical energy to all customers, contributing to the solution of an important global challenge. In Türkiye transitioning from the traditional grid to the smart grid necessitates the involvement of all related parties including governmental entities, regulators, electricity generators, consumers, exchangers, transmission and distribution system operators, as well as Internet of Things device manufacturers. This thesis identifies and analyzes the parameters for the successful transformation from a traditional grid to a smart grid with a particular focus on the case of Türkiye. Through a comprehensive literature review, Delphi Analysis, expert views, and surveys the study determines the dependent and independent variables of smart grid transformation success, examining the country's electricity grid institutions, stakeholders and overall structure. The parameters of the successful transformation from traditional grid to smart grid in Türkiye are determined and analyzed by a survey with the participation of 474 respondents from the Turkish electricity ecosystem.
Subject Keywords
Smart Grid
,
Success of Smart Grid Transformation in Türkiye
,
Turkish Digitalized Electricity Grid
,
Quantitative Analysis for Turkish Smart Grid
URI
https://hdl.handle.net/11511/111610
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Graduate School of Informatics, Thesis
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M. Uğuz, “A Quantitative Analysis on the Paremeters Affecting the Smart Grid Transformation in Generation, Transmission and Distribution of Electricity in Turkey,” Ph.D. - Doctoral Program, Middle East Technical University, 2024.
