Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage...

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Systems

Background:

• Maintaining optimal state-of-charge (SoC) in energy storage systems (ESS) is crucial for state-of-health (SoH) and operational efficiency.
• Economic load dispatch (ELD) is essential for allocating power among ESS to meet demand and minimize costs.
• Microgrids require sophisticated control strategies for stable operation and efficient power management.

Purpose of the Study:

• To propose a distributed multi-agent consensus-based control algorithm for multiple battery energy storage systems (BESSs) in a microgrid (MG).
• To achieve objectives including SoC trajectory tracking, ELD, active/reactive power sharing, and voltage/frequency regulation.
• To ensure robustness, plug-and-play capability, and performance under communication constraints and delays.

Main Methods:

• A leader-follower consensus approach is employed for distributed control of BESSs.
• The algorithm integrates hierarchical control structures and frequency/voltage droop controllers.
• Simulations are conducted on a modified IEEE 57-bus system using Matlab/Simulink.

Main Results:

• The proposed algorithm successfully achieves SoC tracking, ELD, power sharing, and grid regulation.
• It demonstrates robustness against communication link failures and time-delays.
• Extensive simulations validate the algorithm's performance under load disturbances.

Conclusions:

• The developed distributed consensus-based control algorithm offers a superior alternative to conventional PI-based strategies.
• It enhances microgrid stability, efficiency, and reliability through coordinated BESS operation.
• The algorithm provides a scalable and robust solution for managing multiple BESSs in microgrids.