AI-Driven Microgrid Control Enhances Renewable Stability and EV Integration

AI-Driven Microgrid Control Enhances Renewable Stability and EV Integration
by Simon Mansfield
Sydney, Australia (SPX) May 12, 2025

As the global push for renewable energy accelerates, the challenge of stabilizing power grids amidst fluctuating solar and wind output and the rapid growth of electric vehicle (EV) adoption becomes increasingly urgent. Researchers at the Beijing Institute of Technology have unveiled a groundbreaking AI-optimized control system that promises to address this critical issue, potentially transforming the way microgrids operate.

Central to this advancement is the FO-Fuzzy PSS controller, a cutting-edge hybrid system that integrates fractional calculus with fuzzy logic to adapt dynamically to ever-changing grid conditions. This innovative approach, which incorporates a specialized washout filter to eliminate high-frequency noise, significantly outperforms traditional controllers by maintaining stable power delivery even under rapidly shifting supply and demand scenarios.

In practical tests, the FO-Fuzzy PSS controller reduced settling times by up to 283% compared to conventional PID controllers, a critical improvement for real-world applications where rapid response to grid instability is essential. This system allows microgrids to quickly adjust to sudden changes, such as those caused by cloud cover impacting solar output or unexpected surges in EV charging, ensuring consistent power quality.

At the heart of this breakthrough is the advanced Sine Cosine Algorithm (a-SCA), which optimizes the controller's performance by minimizing frequency errors 29-35% more effectively than standard methods. This algorithm enables the system to maintain superior stability across a wide range of operating conditions, a crucial advantage as grids become more decentralized and renewable-focused.

The potential impacts are far-reaching. For utilities, this technology could significantly reduce the risk of blackouts and power disruptions. For EV owners, it offers the promise of seamless, uninterrupted charging. And for communities investing in renewable energy, it provides the stability needed to phase out fossil fuel backups confidently.

Looking forward, the researchers envision integrating real-time communication protocols to coordinate entire networks of microgrids, potentially applying this approach to larger-scale renewable installations. By tackling the frequency regulation challenges that have long hindered microgrid adoption, this work marks a critical step toward a cleaner, more resilient energy future.

Research Report:Impact and integration of electric vehicles on renewable energy based microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach