Security-aware stochastic optimization method for operating active distribution networks with resilience enhancement

This paper proposes a stochastic optimal operation method for active distribution networks to improve system resilience. The source–network–load uncertainties are handled with set of typical scenarios, and the post-contingency security level is quantitatively evaluated by distance. formulated problem determines on-load tap-changer tap position, distributed generator (DG) output power, DG power factor angle, demand side management participation rate switch status achieve economic solution. off-the-shelf solver deployed solve proposed mixed-integer nonlinear programming model. Numerical simulations studied on modified 104-bus network validate effectiveness high performance presented method. solutions indicate that security-aware scheme can simultaneously economy resilience compared existing Moreover, solution accommodates more renewable DGs.