Smart Optimization of Shared Energy Storage Systems #sciencefather #researcherawards #sharedenergy

 

Hierarchical Collaborative Optimization of Shared Energy Storage Systems ⚡🔋

In the rapidly evolving world of smart grids and renewable energy, integrating energy storage resources effectively is key to achieving a safe, stable, and efficient power system. One promising solution is Shared Energy Storage Systems (SESS), which can participate in distribution system optimization and scheduling.

In our latest research, we propose a hierarchical collaborative optimization framework for generalized shared energy storage systems (GSESS) 🌐. Unlike conventional systems (CSESS) that focus only on traditional battery storage, GSESS includes:

• Actual energy storage devices like lithium batteries 🔋

• Virtual energy storage, including flexible loads and electric vehicles 🚗⚡

This broader perspective allows for dynamic integration of demand-side resources, fully unlocking the potential of distributed energy systems.

Master-Slave Game for Smart Coordination 🎮

To optimize GSESS, we introduce a master-slave game model:

• Leader: Distributed System Operator (DSO) 🏢

• Followers: Energy Aggregator (EA) ⚡, Load Aggregator (LA) 📊, and GSESS 🔋

This setup ensures efficient collaboration among all participants, balancing energy supply, demand, and storage.

Solving the Optimization with AI 🤖

To tackle the complex master-slave game, we employ a multi-agent deep deterministic policy gradient (MADDPG) algorithm. With centralized training and distributed execution, this AI-driven approach ensures:
✅ Optimal utilization of energy storage resources
✅ Fair and reasonable allocation of benefits among participants

Results and Validation 📈

We tested our approach using the modified IEEE-38 system. The results clearly show that GSESS:

• Outperforms conventional SESS 💪

• Provides better efficiency compared to centralized optimization solvers 🏆

By integrating both actual and virtual energy storage, our approach paves the way for smarter, more flexible power grids capable of meeting the growing demands of modern energy systems.

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