Port facilities represent unique challenges for energy management due to their high demand, geographic complexity, and increasing pressure to integrate renewable energy. Traditional single-microgrid approaches struggle to handle the scheduling complexity that emerges when multiple energy sources and storage systems operate across different zones of a port facility.
Researchers have developed a bi-level optimization framework specifically designed for coordinated microgrid clusters in port environments. The upper optimization level addresses network topology—determining how microgrids should be physically connected and where equipment should be located—with the goal of minimizing construction costs and reducing stress on electrical busbars. The lower level focuses on operational decisions: allocating capacity to different resources and managing real-time energy flows to minimize ongoing operational and maintenance costs.
The model incorporates distributed coordination, meaning microgrids can operate semi-independently while still working together efficiently. This reduces reliance on centralized control and improves system resilience. Importantly, the framework accounts for the inherent unpredictability of renewable generation, using an improved NSGA-II genetic algorithm to explore multiple optimal solutions that balance competing objectives.
Simulation results reveal significant practical advantages. The optimized port system achieves high self-sufficiency through renewable energy—meeting the facility's own load demands while minimizing external grid dependence. Equipment configurations are right-sized for actual needs, reducing capital waste. Hydrogen energy storage systems operate within acceptable lifespan constraints, ensuring economic viability. The system maintains performance even under extreme scenarios, a critical requirement for mission-critical facilities like ports.
This research bridges the gap between renewable energy ambitions and operational reality. Rather than imposing generic microgrid designs, the bi-level approach tailors solutions to each port's specific topology, demand profile, and renewable resources. As ports worldwide face pressure to decarbonize while maintaining reliable operations, this optimization framework offers a practical pathway for simultaneous economic and environmental gains.
