In a significant advancement for the energy sector, researchers have developed a high-precision analysis technique using data from micro-phasor measurement units (μPMUs) that could redefine the operational reliability of smart substations. This innovative approach, spearheaded by Kyung-Min Lee from the Department of Electrical Engineering at Gangneung-Wonju National University, promises to enhance the monitoring and management of substations, particularly those integrated with renewable energy sources (RESs).
The study, published in the journal ‘Energies,’ outlines the implementation of 35 μPMUs at the Yeonggwang substation in Korea, a facility that plays a crucial role in the country’s evolving energy landscape. Traditional supervisory control and data acquisition systems, while useful, often suffer from long data acquisition cycles and lack the precision needed for real-time operational adjustments. Lee’s research leverages the rapid data collection capabilities of μPMUs, which can capture synchronized electrical signals up to 256 times per cycle, thus offering a more accurate picture of the electrical grid’s performance.
“By integrating time-synchronized data from μPMUs, we can identify and correct issues in real-time, which is vital for maintaining stability in a grid increasingly reliant on renewable energy,” Lee stated. The research highlights a systematic method for detecting and correcting bad data—such as duplicates and spikes—ensuring that the analysis remains robust and reliable. This capability is especially important as energy systems become more complex due to the integration of diverse energy sources.
The findings have immediate commercial implications. As energy providers strive for efficiency and reliability, the ability to accurately monitor and analyze substation performance can lead to reduced operational costs and improved service delivery. This is particularly critical as countries like South Korea aim to expand their renewable energy footprint, with plans to increase the number of PMUs to over 200 by 2027.
The study also delves into the regulatory landscape, examining fault ride-through (FRT) requirements for wind power generation. By analyzing how the substation responds to various fault conditions, the research ensures compliance with safety standards, which is essential for maintaining public confidence in renewable energy technologies.
Looking ahead, Lee envisions a broader application of this technology. “We aim to collect Comtrade data from real-world fault cases to further validate our correction techniques and enhance their versatility,” he noted. This forward-thinking approach not only positions the research as a cornerstone for future developments in smart grid technology but also highlights the potential for similar methodologies to be adopted globally.
As the energy sector continues to evolve, the implications of this research extend beyond technical advancements. By fostering more resilient and intelligent energy systems, it paves the way for a sustainable energy future. The integration of high-precision analysis techniques will likely become a standard practice, ensuring that substations can adapt swiftly to the challenges posed by renewable energy sources.
For further details on this research, visit the Department of Electrical Engineering at Gangneung-Wonju National University.
