DC Microgrid Energy Storage System

An energy storage optimization configuration scheme that improves microgrid operation reliability through virtual bus voltage control and a virtual energy storage model.

Guo, Xiaoxuan · Yasai, Wang · Min, Guo · Sun, Leping · Shen, Xiaojun

Energies 2024

Specifications

Virtual bus voltage stabilization time

{'zh': '20', 'en': '20'} s

Battery power

{'zh': '4', 'en': '4'} MW

Supercapacitor SOC minimum

{'zh': '0.4', 'en': '0.4'}

Supercapacitor SOC maximum

{'zh': '1.0', 'en': '1.0'}

Advantages

Voltage can be stabilized

In response to constant amplitude oscillation after a sudden power increase, the method introduces a virtual damping compensation strategy at 20 s, after which the virtual bus voltage remains stable, preventing oscillation from affecting system operation.

Higher economic benefits

The economic benefits of the microgrid obtained by applying this method in simulation are significantly higher than before the optimization, verifying its advantage in economic performance.

Real-time adjustment

By coordinating the power allocation between batteries and supercapacitors, the method automatically adjusts the supercapacitor SOC during different electricity price periods, achieving effective real-time adjustment of source-load-storage.

Applications

• Microgrid Energy Management：Unifies dispatch of source-load-storage via virtual energy storage model to enhance economy and reliability.
• Energy Storage System Integration：Integrates batteries and supercapacitors into a virtual storage model for multi-timescale power sharing.
• Distributed Energy Systems：Stabilizes DC bus via virtual damping compensation to support voltage quality with distributed generation.
• Battery Energy Storage Optimization：Optimizes battery charging/discharging periods, exiting discharge at peak and holding power at valley to cut costs.