Optimal connection nodes conceptualization for battery energy storage systems

This paper proposes a conceptual model for optimizing the location of Battery Energy Storage Systems (BESS) within a power grid. Connection nodes are critical as their placement significantly impacts overall system performance and efficiency. Existing research utilizes various techniques like convex optimization, analytical methods, and AI-based algorithms to address this issue. Optimal BESS sizing and location planning is crucial for maximizing renewable energy integration and maintaining grid stability. A study demonstrates this by proposing a robust optimization model for allocating energy storage in a distributed grid with multiple renewable sources.