Effectively managing lithium-ion batteries for frequency regulation in power grids requires sophisticated control strategies that consider both performance and longevity. Here are some of the most effective strategies:
Control Strategies
- Droop Control Based on Logistic Functions: This method is designed to improve the performance of battery energy storage systems by adjusting their output based on a logistic function. It enhances the stability of the power system during frequency regulation.
- Virtual Inertia Control Based on Piecewise Functions: Similar to the droop control, this strategy utilizes piecewise functions to mimic the inertia of traditional power plants, thus helping stabilize the grid frequency when using batteries.
- State of Charge (SoC) Management: Strategies like averaging SoC control and GM(1,1) based SoC predictors are essential for maintaining the battery’s SoC within an optimal range. This helps in reducing battery aging and ensures efficient operation during frequency regulation tasks.
- Intraday Market-Based SoC Control: This method involves adjusting the battery’s operation based on market conditions and the battery’s current SoC. It allows for undisturbed SoC restoration while participating in frequency regulation services.
- Threshold-Based SoC Control: This strategy involves calculating optimal thresholds for the battery’s SoC based on the cost of degradation and deviation penalties. It helps in maximizing profits by limiting cycle depth and avoiding excessive battery wear.
- Boundary-Based Control: A simple yet effective approach where the battery provides frequency regulation unless it reaches its charging or discharging limits, at which point it focuses on restoring its optimal SoC.
These strategies aim to optimize battery performance, reduce degradation, and ensure profitability in frequency regulation services.
Implementation Considerations
- Bidding and Operating Strategies: Employ advanced strategies to secure operational profits, especially in dropping market prices.
- Battery Health Monitoring: Regularly assess and maintain the State of Health (SoH) to prolong battery life.
- Integration with Thermal Power Units: Collaborative control frameworks can enhance system stability by combining batteries with conventional power sources.
By adopting these strategies, the effectiveness of lithium-ion batteries in frequency regulation can be significantly improved, ensuring both efficiency and longevity.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/what-control-strategies-are-most-effective-for-lithium-ion-batteries-in-frequency-regulation/
