DISSOCIATED MICROGRID CONTROLLER

Smart overview of the Invention

The dissociated microgrid controller combines rule-based and optimizer-based methods to manage power dispatch in microgrids efficiently. This approach balances the optimality of optimizer methods with the reliability of rule-based methods, ensuring that calculations are both accurate and timely. By integrating these techniques, the system can adapt to real-time conditions and provide economic dispatch solutions that are optimal or near-optimal.

Technical Field

This technology is focused on controlling power dispatch within microgrids. Microgrid controllers play a crucial role in balancing power supply and demand, managing distributed energy resources (DERs), and controlling energy storage systems. These controllers must handle the dynamic nature of renewable energy sources and are essential for maintaining stability and efficiency within a microgrid.

System Components

The system comprises a real-time controller and a long-term controller. The real-time controller uses deterministic strategies to quickly calculate power dispatch among microgrid assets based on current conditions. Meanwhile, the long-term controller adjusts the real-time strategy by analyzing past, current, and forecasted conditions, ensuring continuous optimization in response to changing circumstances.

Operational Strategy

Microgrid control involves coordinating multiple resources like photovoltaic panels, wind turbines, and energy storage systems. The controllers must analyze various data inputs, including electricity demand, resource availability, and weather forecasts, to make informed decisions about power generation, consumption, and storage. This system supports demand response strategies to align supply with demand during peak periods or shortages.

Implementation Details

The microgrid system includes various DER assets connected through a common bus. Each asset has its own controller for managing operations. The real-time controller processes current information to determine the best power dispatch strategy, while the long-term controller refines this strategy based on broader temporal data. This dual-controller setup allows for adaptive management of the microgrid's resources, enhancing resilience and sustainability.