Dynamic Network Prices for Prosumer-aware Hosting Capacity Management

Researchers propose a novel AI framework using dynamic network pricing to dramatically increase grid hosting capacity for renewable energy. The bilevel optimization model lets distribution operators set real-time prices while preserving consumer control over devices like solar panels and batteries. Unlike fixed rates, this approach responds to actual network conditions, potentially boosting capacity by 40% while maintaining grid stability under high renewable penetration. The system explicitly models prosumer decision-making to enhance flexibility without compromising autonomy.