In the ever-evolving landscape of renewable energy, wind power has emerged as a frontrunner, but its integration into power systems presents unique challenges. Yingjie Hu, a researcher at State Grid Jiangsu Electric Power Co., Ltd., Research Institute, is tackling one of the most pressing issues: frequency regulation in high wind penetration power systems. His latest research, published in Energies, delves into the complexities of maintaining grid stability amidst the fluctuating nature of wind energy.
Traditional Automatic Generation Control (AGC) methods struggle to keep up with the rapid changes in wind power output. This is where energy storage systems come into play. These systems, with their fast-response capabilities, can provide the necessary adjustments to maintain frequency stability. However, managing the state of charge (SOC) of these storage systems is a delicate balance. When the SOC approaches its limits, the system’s ability to regulate frequency effectively is compromised.
Hu’s research introduces an innovative solution: an improved adaptive ocean predator algorithm to optimise frequency modulation responsibility allocation in real-time. This algorithm, combined with a real-time management scheme for energy storage SOC, ensures that the system can respond dynamically to changes in wind speed and load disturbances. “The key is to dynamically allocate FCR responsibilities while considering the real-time state of charge of the energy storage system,” Hu explains. “This allows us to prevent overcharging and over-discharging, thereby extending the lifespan of the energy storage system and improving overall operational reliability.”
The implications of this research for the energy sector are significant. As wind power continues to grow, so does the need for effective frequency regulation. Hu’s approach not only enhances the stability of power systems but also optimises the use of energy storage resources. This could lead to reduced operational costs and improved reliability, making wind power a more viable and attractive option for energy providers.
Moreover, the research highlights the importance of advanced algorithms in managing complex energy systems. By using an improved adaptive ocean predator algorithm, Hu’s work demonstrates how cutting-edge technology can be applied to solve real-world problems in the energy sector. This could pave the way for future developments in grid management, energy storage, and renewable energy integration.
The study, published in Energies, underlines the potential of innovative control strategies in addressing the challenges posed by high wind penetration. As Hu notes, “The energy storage SOC exhibits minimal fluctuation and effectively self-recovers to the baseline range, ensuring continuous and efficient operation of the energy storage system.” This finding is a testament to the effectiveness of the proposed method and its potential to revolutionise the way we manage grid stability in the face of increasing renewable energy integration.
