Effective coordination between distribution networks and microgrids remains a critical challenge as power systems increasingly rely on distributed energy resources. A new optimization framework tackles this by bridging day-ahead planning with real-time fault response operations.
The proposed method operates in two phases. During day-ahead planning, a game-theoretic model determines dynamic pricing between distribution network operators and microgrid operators. This bilateral negotiation structure prevents any single entity from exercising excessive market power while ensuring all parties benefit fairly from coordination. The model incorporates fairness constraints that encourage microgrid participation, addressing a key barrier to voluntary grid support services.
Intra-day operations then adjust to real-world conditions including renewable variability and equipment failures. A rolling optimization approach continuously rebalances objectives—minimizing network losses, controlling voltage deviations, and limiting load shedding when disruptions occur. The algorithm weights these competing goals based on current grid conditions, adapting to whether the system faces minor fluctuations or major faults.
Testing on standard grid models demonstrates substantial improvements. The framework enabled better peak demand management through coordinated charging and discharging of distributed storage. More significantly, under severe fault scenarios, the system automatically reconfigured itself with minimal customer impacts, showcasing enhanced resilience.
The mathematical foundation converts complex non-convex optimization problems into forms that standard solvers can handle efficiently, making practical implementation feasible. By treating distribution networks and microgrids as economic partners rather than adversaries, the approach aligns financial incentives with grid stability goals.
This work addresses a growing need as utilities integrate more microgrids and distributed resources. Effective coordination mechanisms determine whether these assets strengthen or destabilize grids. The dual-stage framework offers distribution operators a practical tool for managing this transition while protecting consumer interests through transparent, fair pricing mechanisms.
