"KENTECH Undergraduate Noh Gun Wins First Place in Global Poster Competition"

Wins First Place in IEEE PES GM Undergraduate Category
Achievement in Power Grid Optimization Research Reflecting Transmission Line Conditions

An undergraduate student from Korea Energy Engineering University (KENTECH) has proven the university's research competitiveness by winning first place in the undergraduate poster presentation category at a world-renowned power sector academic conference. This achievement is particularly significant as the research presents a solution to enhance the efficiency of power grid operations, a core issue amid the expansion of renewable energy.

On July 28, KENTECH announced that Noh Gun, a senior in the Department of Energy Engineering, claimed first prize in the undergraduate category of the poster competition at the IEEE Power & Energy Society General Meeting (IEEE PES GM), held in Montreal, Canada from July 19 to 23.

The IEEE PES GM is recognized as one of the most prestigious international academic conferences in the world, annually attracting over 3,000 researchers and industry professionals in the power and energy sectors.

Student Nogun explaining the poster. Provided by Korea Energy Engineering University

Noh Gun received high praise for presenting a probabilistic optimization model that supports optimal decision-making in power grid operations by taking into account the condition of transmission lines.

The research focused on addressing the limitations of Dynamic Line Rating (DLR) technology, which is increasingly utilized amid the growing adoption of renewable energy.

Dynamic Line Rating is an advanced power grid technology that boosts the capacity of existing transmission lines by reflecting weather conditions and line status in real time. This technology can expand transmission capacity while reducing the need to build new transmission lines.

However, inaccuracy in weather forecasts, such as wind speed and temperature, has been cited as a challenge, as it can cause degradation of transmission lines during commercialization.

To address these uncertainties, Noh Gun developed a probabilistic optimization model that simultaneously considers the prediction errors of wind generation and dynamic line rating, as well as the correlation between these two variables.

This research was conducted under the guidance of Professor Kim Jib from KENTECH through the undergraduate Independent Research (IR) course and the undergraduate research participation program. The fact that research performed by an undergraduate student has received top recognition at a globally prestigious international conference highlights the competitiveness of KENTECH’s research-focused educational system.

Noh Gun said, "It is very meaningful to have my research, which I have continuously developed as an undergraduate, recognized at a world-class academic conference. In the future, I want to contribute to building a stable and efficient future power grid through further optimization research."

This content was produced with the assistance of AI translation services.