In the heart of Xinjiang, China, researchers are pioneering a new approach to evaluate the performance of energy storage converters, a breakthrough that could revolutionize how we integrate renewable energy into the grid. Led by Yushan Liu, an expert from the Engineering Research Center of Renewable Energy Power Generation and Grid Connection Technology at Xinjiang University, this groundbreaking study introduces a multi-level evaluation index system designed to assess the capabilities of grid-forming energy storage converters.
The research, published in Zhongguo dianli, which translates to ‘China Electric Power’, focuses on the active support capabilities of these converters, crucial for maintaining voltage and frequency stability in power grids. Liu and his team have developed a quantitative evaluation index system that examines the performance of converters across three levels: single machine, substation, and grid. This multi-time scale approach considers power support density and energy support density, providing a comprehensive assessment of converter control strategies.
“Our goal is to create a robust evaluation system that can accurately measure the effectiveness of grid-forming energy storage converters,” Liu explains. “By doing so, we aim to enhance the reliability and stability of power grids, especially those integrating significant amounts of renewable energy.”
The study compares grid-following (GFL) and grid-forming (GFM) control strategies using simulations on Matlab/Simulink and DIgSILENT platforms. The findings are clear: GFM control demonstrates superior support capabilities compared to GFL control. This insight is vital for the energy sector, as it paves the way for more efficient and reliable grid operations.
The implications of this research are far-reaching. As the world transitions towards renewable energy sources, the need for advanced energy storage solutions becomes increasingly critical. Liu’s evaluation index system offers a practical tool for field testing and the strategic placement of grid-forming energy storage stations. This could lead to more stable and resilient power grids, reducing the risk of blackouts and improving the overall efficiency of energy distribution.
Moreover, the research provides a framework for future developments in the field. By establishing a quantitative evaluation system, Liu and his team have set a standard for assessing the performance of energy storage converters. This could drive innovation in converter technology, leading to more advanced and efficient solutions.
The energy sector is on the cusp of a significant transformation, and Liu’s work is at the forefront of this change. As renewable energy sources continue to grow, the need for reliable and efficient energy storage solutions will only increase. Liu’s evaluation index system offers a roadmap for navigating this complex landscape, ensuring that power grids remain stable and resilient in the face of rapid change.
For energy professionals, this research represents a significant step forward in the integration of renewable energy. By providing a comprehensive evaluation system, Liu and his team have laid the groundwork for more efficient and reliable grid operations. As the energy sector continues to evolve, the insights gained from this research will be invaluable in shaping the future of power generation and distribution.
