Multi-Area Reserve Dimensioning Using Chance-Constrained Optimization

We propose a chance-constrained formulation for the problem of dimensioning frequency restoration reserves on power transmission network. cast our as two-stage stochastic mixed integer linear program, and heuristic algorithm solving problem. Our model accounts simultaneous sizing both upward downward reserves, uncertainty driven by imbalances, contingencies available capacity. core methodology is further adapted in order to minimize inter-zonal flows split reserve requirements between automatic manual reserves. apply four load control areas Swedish system. demonstrate benefits method terms decreasing absence sharing, we analyze spatial allocation perform various sensitivity analyses.