Chance-Constrained Optimal Distribution Network Partitioning to Enhance Power Grid Resilience

This article proposes a method for identifying potential self-adequate sub-networks in the existing power distribution grid. These can be equipped with control and protection schemes to form microgrids capable of sustaining local loads during systems contingencies, thereby mitigating disasters. Towards best microgrid candidates, this work formulates chance-constrained optimal network partitioning (ODNP) problem addressing uncertainties load distributed energy resources; presents solution methodology using sample average approximation (SAA) technique. Practical constraints like ensuring radiality availability grid-forming generators are considered. Quality obtained is evaluated by comparison with- a) an upper bound on probability that identified supply-deficient, b) lower objective value true optimization problem. Performance ODNP formulation illustrated through case-studies modified IEEE 37-bus feeder. It shown flexibility well utilized; changes risk budget; SAA able yield good quality solutions modest computation cost.