Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach
The authors formulate the overloading prevention problem as a Multiobjective Mixed Integer Quadratically Constrained Program that aims to maximize the number of connected users while minimizing physical cabinet visits and fuse alterations. By employing a state-of-the-art exact mathematical solver, the method calculates the most appropriate combination of remotely curtailing user power and physically switching grid fuses. Evaluations based on real-world data from a Luxembourg grid operator demonstrate that this automated approach rapidly suggests optimal countermeasures, significantly reducing the need to completely disconnect users during potential overloads.