Frequency stability has become a critical challenge for power system operators as renewable energy sources increasingly displace conventional generation. Without the natural inertia provided by spinning synchronous machines, modern grids struggle to maintain stable frequency during rapid load changes or generation fluctuations. This paper presents a novel control strategy designed specifically to address these dynamics in multi-source power systems.
The researchers propose integrating a fractional-order Proportional–Integral–Derivative (FOPID) controller tuned using a Dung Beetle Optimizer algorithm. The multi-source test system includes photovoltaic generation, thermal plants, hydroelectric capacity, nuclear units, and advanced energy storage including battery systems and fuel cells. This composition reflects realistic future grids where diverse generation types must operate in concert.
The Dung Beetle Optimizer is a nature-inspired algorithm that mimics the food-rolling behavior of dung beetles. The authors selected this approach because it offers balanced exploration and exploitation characteristics, enabling efficient tuning of controller parameters across complex, multi-dimensional solution spaces. The fractional-order controller component provides enhanced flexibility compared to conventional integer-order designs, allowing more precise frequency regulation.
Validation through simulation compared the DBO-tuned controller against established optimization methods: Ant Lion Optimizer and Particle Swarm Optimization. Results demonstrated measurable improvements in dynamic performance. The proposed approach reduced settling time by 9.5% versus PSO and 4.7% versus ALO, indicating faster recovery from disturbances. Additionally, the controller showed superior frequency regulation capability and better tie-line power stability during transient events.
While the work remains simulation-based, it demonstrates how advanced optimization techniques combined with modern control theory can address real grid stability challenges. For utilities planning high-renewable portfolios, such controllers may provide a pathway to maintaining reliability standards while achieving decarbonization goals. Implementation on actual power systems would require further validation and consideration of practical hardware constraints and communication delays.
