In a significant advancement for the energy sector, researchers have unveiled a novel approach to enhance the efficiency of battery energy storage systems in wind power stations. This research, led by James Boyle from the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast and the School of Engineering at Atlantic Technological University in Galway, proposes an aggregator model that optimizes the frequency control responses of these systems. The findings, published in the journal Energy Conversion and Management: X, highlight the potential for battery systems to play a pivotal role in stabilizing the grid while maximizing their service availability.
Battery energy storage systems are increasingly recognized for their ability to deliver rapid bi-directional power flows, making them ideal candidates for providing essential regulation and frequency control services. However, their relatively low energy storage capacities compared to other generation sources necessitate a strategic approach to optimize their responses. “By implementing an aggregator that utilizes a single frequency-droop characteristic, we can ensure predictability in response, which is crucial for compliance with grid codes,” Boyle explained.
The aggregator model not only streamlines the participation of battery systems in frequency control markets but also addresses stability concerns associated with communication delays between the aggregator and the storage units. The research indicates that even if an optimized order is not received from the aggregator, the battery systems can still respond effectively to frequency events. This fail-safe mechanism significantly enhances the reliability of grid operations, a critical factor as the energy landscape evolves.
Moreover, the study showcases the flexibility of battery systems, allowing them to perform multiple functions simultaneously, such as frequency control and wind power regulation. By allocating a portion of their capacity to the aggregator scheme, these systems can extend the duration of their full regulation service during frequency excursions. Simulations conducted using DIgSILENT PowerFactory demonstrated the aggregator’s effectiveness in this regard, suggesting a promising path forward for energy providers.
As the energy sector grapples with the increasing integration of renewable sources, this research could reshape how battery energy storage systems are utilized. The ability to optimize their response not only enhances grid stability but also opens new avenues for commercial opportunities in frequency control markets. “This model represents a significant step toward harnessing the full potential of battery energy storage systems in the renewable energy landscape,” Boyle noted.
The implications of this research extend beyond technical enhancements; they signal a shift in how energy providers can strategically manage resources to meet regulatory demands and market needs. As the energy transition accelerates, innovations like this aggregator model will be crucial in ensuring that renewable energy sources can reliably contribute to a stable and sustainable grid. For more insights on this groundbreaking work, you can explore the research by visiting Queen’s University Belfast.
